Georg Fuchs
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- ECMLPKDD'15: Proceedings of the 2015th European Conference on Machine Learning and Knowledge Discovery in Databases - Volume Part III (2)
- GEOCROWD '13: Proceedings of the Second ACM SIGSPATIAL International Workshop on Crowdsourced and Volunteered Geographic Information (1)
- Semantics2017: Proceedings of the 13th International Conference on Semantic Systems (1)
- SSTD '19: Proceedings of the 16th International Symposium on Spatial and Temporal Databases (1)
- Web and Wireless Geographical Information Systems (1)
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- demonstrationPublished By ACMPublished By ACM
ARGO: A Big Data Framework for Online Trajectory Prediction
- Petros Petrou
Data Science Lab, University of Piraeus (UPRC), Greece
, - Panagiotis Nikitopoulos
Data Science Lab, University of Piraeus (UPRC), Greece
, - Panagiotis Tampakis
Data Science Lab, University of Piraeus (UPRC), Greece
, - Apostolos Glenis
Data Science Lab, University of Piraeus (UPRC), Greece
, - Nikolaos Koutroumanis
Data Science Lab, University of Piraeus (UPRC), Greece
, - Georgios M. Santipantakis
Data Science Lab, University of Piraeus (UPRC), Greece
, - Kostas Patroumpas
Information Management Systems Institute, Athena Research Center, Greece
, - Akrivi Vlachou
Data Science Lab, University of Piraeus (UPRC), Greece
, - Harris Georgiou
Data Science Lab, University of Piraeus (UPRC), Greece
, - Eva Chondrodima
Data Science Lab, University of Piraeus (UPRC), Greece
, - Christos Doulkeridis
Data Science Lab, University of Piraeus (UPRC), Greece
, - Nikos Pelekis
Data Science Lab, University of Piraeus (UPRC), Greece
, - Gennady L. Andrienko
Fraunhofer Institute IAIS, Sankt Augustin, Germany
, - Fabian Patterson
Fraunhofer Institute IAIS, Sankt Augustin, Germany
, - Georg Fuchs
Fraunhofer Institute IAIS, Sankt Augustin, Germany
, - Yannis Theodoridis
Data Science Lab, University of Piraeus (UPRC), Greece
, - George A. Vouros
Data Science Lab, University of Piraeus (UPRC), Greece
SSTD '19: Proceedings of the 16th International Symposium on Spatial and Temporal Databases•August 2019, pp 194-197• https://doi.org/10.1145/3340964.3340988We present a big data framework for the prediction of streaming trajectory data, enriched from other data sources and exploiting mined patterns of trajectories, allowing accurate long-term predictions with low latency. To meet this goal, we follow a ...
- 11Citation
- 236
- Downloads
MetricsTotal Citations11Total Downloads236Last 12 Months21Last 6 weeks3
- Petros Petrou
- Article
Increasing Maritime Situation Awareness via Trajectory Detection, Enrichment and Recognition of Events
- G. A. Vouros
University of Piraeus, Piraeus, Greece
, - A. Vlachou
University of Piraeus, Piraeus, Greece
, - G. Santipantakis
University of Piraeus, Piraeus, Greece
, - C. Doulkeridis
University of Piraeus, Piraeus, Greece
, - N. Pelekis
University of Piraeus, Piraeus, Greece
, - H. Georgiou
University of Piraeus, Piraeus, Greece
, - Y. Theodoridis
University of Piraeus, Piraeus, Greece
, - K. Patroumpas
University of Piraeus, Piraeus, Greece
, - E. Alevizos
NCSR ‘D’, IIT, Agia Paraskevi, Greece
, - A. Artikis
University of Piraeus, Piraeus, Greece
NCSR ‘D’, IIT, Agia Paraskevi, Greece
, - G. Fuchs
Fraunhofer Institute IAIS, Sankt Augustin, Germany
, - M. Mock
Fraunhofer Institute IAIS, Sankt Augustin, Germany
, - G. Andrienko
Fraunhofer Institute IAIS, Sankt Augustin, Germany
, - N. Andrienko
Fraunhofer Institute IAIS, Sankt Augustin, Germany
, - C. Claramunt
Naval Academy Research Institute, Brest, France
, - C. Ray
Naval Academy Research Institute, Brest, France
, - E. Camossi
CMRE, La Spezia, Italy
, - A.-L. Jousselme
CMRE, La Spezia, Italy
Web and Wireless Geographical Information Systems•May 2018, pp 130-140• https://doi.org/10.1007/978-3-319-90053-7_13AbstractThe research presented in this paper aims to show the deployment and use of advanced technologies towards processing surveillance data for the detection of events, contributing to maritime situation awareness via trajectories’ detection, synopses ...
- 0Citation
MetricsTotal Citations0
- G. A. Vouros
- article
Visual analysis of pressure in football
- Gennady Andrienko
Fraunhofer Institute IAIS, Sankt Augustin, Germany and City University London, London, UK
, - Natalia Andrienko
Fraunhofer Institute IAIS, Sankt Augustin, Germany and City University London, London, UK
, - Guido Budziak
TU Eindhoven, Eindhoven, The Netherlands
, - Jason Dykes
City University London, London, UK
, - Georg Fuchs
Fraunhofer Institute IAIS, Sankt Augustin, Germany
, - Tatiana Landesberger
TU Darmstadt, Darmstadt, Germany
, - Hendrik Weber
DFL Deutsche Fussball Liga GmbH, Frankfurt, Germany
Data Mining and Knowledge Discovery, Volume 31, Issue 6•November 2017, pp 1793-1839 • https://doi.org/10.1007/s10618-017-0513-2Modern movement tracking technologies enable acquisition of high quality data about movements of the players and the ball in the course of a football match. However, there is a big difference between the raw data and the insights into team behaviors ...
- 12Citation
MetricsTotal Citations12
- Gennady Andrienko
- research-articlePublished By ACMPublished By ACM
Specification of Semantic Trajectories Supporting Data Transformations for Analytics: The datAcron Ontology
- Georgios M. Santipantakis
University of Piraeus, Piraeus, Greece
, - George A. Vouros
University of Piraeus, Piraeus, Greece
, - Christos Doulkeridis
University of Piraeus, Piraeus, Greece
, - Akrivi Vlachou
University of Piraeus, Piraeus, Greece
, - Gennady Andrienko
Fraunhofer Institute IAIS, Sankt-Augustin, Germany
, - Natalia Andrienko
Fraunhofer Institute IAIS, Sankt-Augustin, Germany
, - Georg Fuchs
Fraunhofer Institute IAIS, Sankt-Augustin, Germany
, - Jose Manuel Cordero Garcia
CRIDA, Madrid, Spain
, - Miguel Garcia Martinez
CRIDA, Madrid, Spain
Semantics2017: Proceedings of the 13th International Conference on Semantic Systems•September 2017, pp 17-24• https://doi.org/10.1145/3132218.3132225Motivated by real-life emerging needs in critical domains, this paper proposes a coherent and generic ontology for the representation of semantic trajectories, in association to related events and contextual information, to support analytics. The main ...
- 16Citation
- 106
- Downloads
MetricsTotal Citations16Total Downloads106Last 12 Months3Last 6 weeks1
- Georgios M. Santipantakis
- research-article
Revealing Patterns and Trends of Mass Mobility Through Spatial and Temporal Abstraction of Origin-Destination Movement Data
- Gennady Andrienko
Fraunhofer Institute IAIS, Sankt Augustin, Germany
, - Natalia Andrienko
Fraunhofer Institute IAIS, Sankt Augustin, Germany
, - Georg Fuchs
Fraunhofer Institute IAIS, Sankt Augustin, Germany
, - Jo Wood
City University, London, United Kingdom
IEEE Transactions on Visualization and Computer Graphics, Volume 23, Issue 9•Sept. 2017, pp 2120-2136 • https://doi.org/10.1109/TVCG.2016.2616404Origin-destination (OD) movement data describe moves or trips between spatial locations by specifying the origins, destinations, start, and end times, but not the routes travelled. For studying the spatio-temporal patterns and trends of mass mobility, ...
- 21Citation
MetricsTotal Citations21
- Gennady Andrienko
- article
Visualization of Delay Uncertainty and its Impact on Train Trip Planning: A Design Study
- M. Wunderlich
Technische Universität Darmstadt, Germany
, - K. Ballweg
Technische Universität Darmstadt, Germany
, - G. Fuchs
Fraunhofer IAIS, Germany
, - T. von Landesberger
Technische Universität Darmstadt, Germany
Computer Graphics Forum, Volume 36, Issue 3•June 2017, pp 317-328 • https://doi.org/10.1111/cgf.13190Uncertainty about possible train delays has an impact on train trips, as the exact arrival time is unknown during trip planning. Delays can lead to missing a connecting train at the transfer station, or to coming too late to an appointment at the ...
- 5Citation
MetricsTotal Citations5
- M. Wunderlich
- article
Understanding movement data quality
- Gennady Andrienko
Department of Computer Science, School of Mathematics, Computer Science & Engineering, City University London, London, UK
, - Natalia Andrienko
Department of Computer Science, School of Mathematics, Computer Science & Engineering, City University London, London, UK
, - Georg Fuchs
KD - Knowledge Discovery, Fraunhofer Institute IAIS, Sankt Augustin, Germany
Journal of Location Based Services, Volume 10, Issue 1•March 2016, pp 31-46 • https://doi.org/10.1080/17489725.2016.1169322Understanding of data quality is essential for choosing suitable analysis methods and interpreting their results. Investigation of quality of movement data, due to their spatio-temporal nature, requires consideration from multiple perspectives at ...
- 5Citation
MetricsTotal Citations5
- Gennady Andrienko
- Article
Visual analytics methodology for scalable and privacy-respectful discovery of place semantics from episodic mobility data
- Natalia Andrienko
Fraunhofer Institute IAIS, Sankt Augustin, Germany and City University London, London, UK
, - Gennady Andrienko
Fraunhofer Institute IAIS, Sankt Augustin, Germany and City University London, London, UK
, - Georg Fuchs
Fraunhofer Institute IAIS, Sankt Augustin, Germany
, - Piotr Jankowski
San Diego State University, San Diego and Institute of Geoecology and Geoinformation, Adam Mickiewicz University, Poznan, Poland
ECMLPKDD'15: Proceedings of the 2015th European Conference on Machine Learning and Knowledge Discovery in Databases - Volume Part III•September 2015, pp 254-258People using mobile devices for making phone calls, accessing the internet, or posting georeferenced contents in social media create episodic digital traces of their presence in various places. Availability of personal traces over a long time period ...
- 0Citation
MetricsTotal Citations0
- Natalia Andrienko
- Article
Real time detection and tracking of spatial event clusters
- Natalia Andrienko
Fraunhofer Institute IAIS, Sankt Augustin, Germany and City University London, London, UK
, - Gennady Andrienko
Fraunhofer Institute IAIS, Sankt Augustin, Germany and City University London, London, UK
, - Georg Fuchs
Fraunhofer Institute IAIS, Sankt Augustin, Germany
, - Salvatore Rinzivillo
CNR ISTI, Pisa, Italy
, - Hans-Dieter Betz
nowcast GmbH, Munich, Germany
ECMLPKDD'15: Proceedings of the 2015th European Conference on Machine Learning and Knowledge Discovery in Databases - Volume Part III•September 2015, pp 316-319• https://doi.org/10.1007/978-3-319-23461-8_38We demonstrate a system of tools for real-time detection of significant clusters of spatial events and observing their evolution. The tools include an incremental stream clustering algorithm, interactive techniques for controlling its operation, a ...
- 0Citation
MetricsTotal Citations0
- Natalia Andrienko
- article
Visual Analytics for Exploring Local Impact of Air Traffic
- J. Buchmüller
University of Konstanz, Germany
, - H. Janetzko
University of Konstanz, Germany
, - G. Andrienko,
- N. Andrienko,
- G. Fuchs
Fraunhofer IAIS, Germany
, - D. A. Keim
University of Konstanz, Germany
The environmental and noise impact of airports often causes extensive political discussion which in some cases even lead to transnational tensions. Analyzing local approach and departure patterns around an airport is difficult since it depends on a ...
- 3Citation
MetricsTotal Citations3
- J. Buchmüller
- research-articlePublished By ACMPublished By ACM
Constructing semantic interpretation of routine and anomalous mobility behaviors from big data
- Georg Fuchs
Fraunhofer Institute for Intelligent Analysis and Information Systems IAIS, St. Augustin, Germany and Friedrich-Wilhelms University, Bonn, Germany
, - Hendrik Stange
Fraunhofer Institute for Intelligent Analysis and Information Systems IAIS, St. Augustin, Germany
, - Dirk Hecker
Fraunhofer Institute for Intelligent Analysis and Information Systems IAIS, St. Augustin, Germany
, - Natalia Andrienko
Fraunhofer Institute for Intelligent Analysis and Information Systems IAIS, St. Augustin, Germany; City University London, London, UK and Friedrich-Wilhelms University, Bonn, Germany
, - Gennady Andrienko
Fraunhofer Institute for Intelligent Analysis and Information Systems IAIS, St. Augustin, Germany; City University London, London, UK and Friedrich-Wilhelms University, Bonn, Germany
SIGSPATIAL Special, Volume 7, Issue 1•March 2015, pp 27-34 • https://doi.org/10.1145/2782759.2782765Annually organized VAST Challenges provide a unique opportunity to analyze complex data with available ground truth. In 2014, one of the tasks was to interpret routine and anomalous patterns of human mobility based on big data: trajectories of cars and ...
- 6Citation
- 185
- Downloads
MetricsTotal Citations6Total Downloads185Last 12 Months3
- Georg Fuchs
- research-articlePublished By ACMPublished By ACM
Tracing the German centennial flood in the stream of tweets: first lessons learned
- Georg Fuchs
Fraunhofer IAIS, Schloss Birlinghoven, Sankt Augustin, Germany
, - Natalia Andrienko
Fraunhofer IAIS, Schloss Birlinghoven, Sankt Augustin, Germany
, - Gennady Andrienko
Fraunhofer IAIS, Schloss Birlinghoven, Sankt Augustin, Germany
, - Sebastian Bothe
Fraunhofer IAIS, Schloss Birlinghoven, Sankt Augustin, Germany
, - Hendrik Stange
Fraunhofer IAIS, Schloss Birlinghoven, Sankt Augustin, Germany
GEOCROWD '13: Proceedings of the Second ACM SIGSPATIAL International Workshop on Crowdsourced and Volunteered Geographic Information•November 2013, pp 31-38• https://doi.org/10.1145/2534732.2534741Social microblogging services such as Twitter result in massive streams of georeferenced messages and geolocated status updates. This real-time source of information is invaluable for many application areas, in particular for disaster detection and ...
- 44Citation
- 419
- Downloads
MetricsTotal Citations44Total Downloads419Last 12 Months21Last 6 weeks2
- Georg Fuchs
- research-article
Thematic Patterns in Georeferenced Tweets through Space-Time Visual Analytics
- Gennady Andrienko
Fraunhofer Institute for Intelligent Analysis and Information Systems
, - Natalia Andrienko
Fraunhofer Institute for Intelligent Analysis and Information Systems
, - Harald Bosch
University of Stuttgart
, - Thomas Ertl
University of Stuttgart
, - Georg Fuchs
Fraunhofer Institute for Intelligent Analysis and Information Systems
, - Piotr Jankowski
San Diego State University
, - Dennis Thom
University of Stuttgart
Computing in Science and Engineering, Volume 15, Issue 3•May 2013, pp 72-82 • https://doi.org/10.1109/MCSE.2013.70An exploratory study of the potential of georeferenced Twitter data (using tweets from Seattle-area residents over a two-month period) extracts knowledge about people's everyday life.
- 12Citation
MetricsTotal Citations12
- Gennady Andrienko
Author Profile Pages
- Description: The Author Profile Page initially collects all the professional information known about authors from the publications record as known by the ACM bibliographic database, the Guide. Coverage of ACM publications is comprehensive from the 1950's. Coverage of other publishers generally starts in the mid 1980's. The Author Profile Page supplies a quick snapshot of an author's contribution to the field and some rudimentary measures of influence upon it. Over time, the contents of the Author Profile page may expand at the direction of the community.
Please see the following 2007 Turing Award winners' profiles as examples: - History: Disambiguation of author names is of course required for precise identification of all the works, and only those works, by a unique individual. Of equal importance to ACM, author name normalization is also one critical prerequisite to building accurate citation and download statistics. For the past several years, ACM has worked to normalize author names, expand reference capture, and gather detailed usage statistics, all intended to provide the community with a robust set of publication metrics. The Author Profile Pages reveal the first result of these efforts.
- Normalization: ACM uses normalization algorithms to weigh several types of evidence for merging and splitting names.
These include:- co-authors: if we have two names and cannot disambiguate them based on name alone, then we see if they have a co-author in common. If so, this weighs towards the two names being the same person.
- affiliations: names in common with same affiliation weighs toward the two names being the same person.
- publication title: names in common whose works are published in same journal weighs toward the two names being the same person.
- keywords: names in common whose works address the same subject matter as determined from title and keywords, weigh toward being the same person.
The more conservative the merging algorithms, the more bits of evidence are required before a merge is made, resulting in greater precision but lower recall of works for a given Author Profile. Many bibliographic records have only author initials. Many names lack affiliations. With very common family names, typical in Asia, more liberal algorithms result in mistaken merges.
Automatic normalization of author names is not exact. Hence it is clear that manual intervention based on human knowledge is required to perfect algorithmic results. ACM is meeting this challenge, continuing to work to improve the automated merges by tweaking the weighting of the evidence in light of experience.
- Bibliometrics: In 1926, Alfred Lotka formulated his power law (known as Lotka's Law) describing the frequency of publication by authors in a given field. According to this bibliometric law of scientific productivity, only a very small percentage (~6%) of authors in a field will produce more than 10 articles while the majority (perhaps 60%) will have but a single article published. With ACM's first cut at author name normalization in place, the distribution of our authors with 1, 2, 3..n publications does not match Lotka's Law precisely, but neither is the distribution curve far off. For a definition of ACM's first set of publication statistics, see Bibliometrics
- Future Direction:
The initial release of the Author Edit Screen is open to anyone in the community with an ACM account, but it is limited to personal information. An author's photograph, a Home Page URL, and an email may be added, deleted or edited. Changes are reviewed before they are made available on the live site.
ACM will expand this edit facility to accommodate more types of data and facilitate ease of community participation with appropriate safeguards. In particular, authors or members of the community will be able to indicate works in their profile that do not belong there and merge others that do belong but are currently missing.
A direct search interface for Author Profiles will be built.
An institutional view of works emerging from their faculty and researchers will be provided along with a relevant set of metrics.
It is possible, too, that the Author Profile page may evolve to allow interested authors to upload unpublished professional materials to an area available for search and free educational use, but distinct from the ACM Digital Library proper. It is hard to predict what shape such an area for user-generated content may take, but it carries interesting potential for input from the community.
Bibliometrics
The ACM DL is a comprehensive repository of publications from the entire field of computing.
It is ACM's intention to make the derivation of any publication statistics it generates clear to the user.
- Average citations per article = The total Citation Count divided by the total Publication Count.
- Citation Count = cumulative total number of times all authored works by this author were cited by other works within ACM's bibliographic database. Almost all reference lists in articles published by ACM have been captured. References lists from other publishers are less well-represented in the database. Unresolved references are not included in the Citation Count. The Citation Count is citations TO any type of work, but the references counted are only FROM journal and proceedings articles. Reference lists from books, dissertations, and technical reports have not generally been captured in the database. (Citation Counts for individual works are displayed with the individual record listed on the Author Page.)
- Publication Count = all works of any genre within the universe of ACM's bibliographic database of computing literature of which this person was an author. Works where the person has role as editor, advisor, chair, etc. are listed on the page but are not part of the Publication Count.
- Publication Years = the span from the earliest year of publication on a work by this author to the most recent year of publication of a work by this author captured within the ACM bibliographic database of computing literature (The ACM Guide to Computing Literature, also known as "the Guide".
- Available for download = the total number of works by this author whose full texts may be downloaded from an ACM full-text article server. Downloads from external full-text sources linked to from within the ACM bibliographic space are not counted as 'available for download'.
- Average downloads per article = The total number of cumulative downloads divided by the number of articles (including multimedia objects) available for download from ACM's servers.
- Downloads (cumulative) = The cumulative number of times all works by this author have been downloaded from an ACM full-text article server since the downloads were first counted in May 2003. The counts displayed are updated monthly and are therefore 0-31 days behind the current date. Robotic activity is scrubbed from the download statistics.
- Downloads (12 months) = The cumulative number of times all works by this author have been downloaded from an ACM full-text article server over the last 12-month period for which statistics are available. The counts displayed are usually 1-2 weeks behind the current date. (12-month download counts for individual works are displayed with the individual record.)
- Downloads (6 weeks) = The cumulative number of times all works by this author have been downloaded from an ACM full-text article server over the last 6-week period for which statistics are available. The counts displayed are usually 1-2 weeks behind the current date. (6-week download counts for individual works are displayed with the individual record.)
ACM Author-Izer Service
Summary Description
ACM Author-Izer is a unique service that enables ACM authors to generate and post links on both their homepage and institutional repository for visitors to download the definitive version of their articles from the ACM Digital Library at no charge.
Downloads from these sites are captured in official ACM statistics, improving the accuracy of usage and impact measurements. Consistently linking to definitive version of ACM articles should reduce user confusion over article versioning.
ACM Author-Izer also extends ACM’s reputation as an innovative “Green Path” publisher, making ACM one of the first publishers of scholarly works to offer this model to its authors.
To access ACM Author-Izer, authors need to establish a free ACM web account. Should authors change institutions or sites, they can utilize the new ACM service to disable old links and re-authorize new links for free downloads from a different site.
How ACM Author-Izer Works
Authors may post ACM Author-Izer links in their own bibliographies maintained on their website and their own institution’s repository. The links take visitors to your page directly to the definitive version of individual articles inside the ACM Digital Library to download these articles for free.
The Service can be applied to all the articles you have ever published with ACM.
Depending on your previous activities within the ACM DL, you may need to take up to three steps to use ACM Author-Izer.
For authors who do not have a free ACM Web Account:
- Go to the ACM DL http://dl.acm.org/ and click SIGN UP. Once your account is established, proceed to next step.
For authors who have an ACM web account, but have not edited their ACM Author Profile page:
- Sign in to your ACM web account and go to your Author Profile page. Click "Add personal information" and add photograph, homepage address, etc. Click ADD AUTHOR INFORMATION to submit change. Once you receive email notification that your changes were accepted, you may utilize ACM Author-izer.
For authors who have an account and have already edited their Profile Page:
- Sign in to your ACM web account, go to your Author Profile page in the Digital Library, look for the ACM Author-izer link below each ACM published article, and begin the authorization process. If you have published many ACM articles, you may find a batch Authorization process useful. It is labeled: "Export as: ACM Author-Izer Service"
ACM Author-Izer also provides code snippets for authors to display download and citation statistics for each “authorized” article on their personal pages. Downloads from these pages are captured in official ACM statistics, improving the accuracy of usage and impact measurements. Consistently linking to the definitive version of ACM articles should reduce user confusion over article versioning.
Note: You still retain the right to post your author-prepared preprint versions on your home pages and in your institutional repositories with DOI pointers to the definitive version permanently maintained in the ACM Digital Library. But any download of your preprint versions will not be counted in ACM usage statistics. If you use these AUTHOR-IZER links instead, usage by visitors to your page will be recorded in the ACM Digital Library and displayed on your page.
FAQ
- Q. What is ACM Author-Izer?
A. ACM Author-Izer is a unique, link-based, self-archiving service that enables ACM authors to generate and post links on either their home page or institutional repository for visitors to download the definitive version of their articles for free.
- Q. What articles are eligible for ACM Author-Izer?
- A. ACM Author-Izer can be applied to all the articles authors have ever published with ACM. It is also available to authors who will have articles published in ACM publications in the future.
- Q. Are there any restrictions on authors to use this service?
- A. No. An author does not need to subscribe to the ACM Digital Library nor even be a member of ACM.
- Q. What are the requirements to use this service?
- A. To access ACM Author-Izer, authors need to have a free ACM web account, must have an ACM Author Profile page in the Digital Library, and must take ownership of their Author Profile page.
- Q. What is an ACM Author Profile Page?
- A. The Author Profile Page initially collects all the professional information known about authors from the publications record as known by the ACM Digital Library. The Author Profile Page supplies a quick snapshot of an author's contribution to the field and some rudimentary measures of influence upon it. Over time, the contents of the Author Profile page may expand at the direction of the community. Please visit the ACM Author Profile documentation page for more background information on these pages.
- Q. How do I find my Author Profile page and take ownership?
- A. You will need to take the following steps:
- Create a free ACM Web Account
- Sign-In to the ACM Digital Library
- Find your Author Profile Page by searching the ACM Digital Library for your name
- Find the result you authored (where your author name is a clickable link)
- Click on your name to go to the Author Profile Page
- Click the "Add Personal Information" link on the Author Profile Page
- Wait for ACM review and approval; generally less than 24 hours
- Q. Why does my photo not appear?
- A. Make sure that the image you submit is in .jpg or .gif format and that the file name does not contain special characters
- Q. What if I cannot find the Add Personal Information function on my author page?
- A. The ACM account linked to your profile page is different than the one you are logged into. Please logout and login to the account associated with your Author Profile Page.
- Q. What happens if an author changes the location of his bibliography or moves to a new institution?
- A. Should authors change institutions or sites, they can utilize ACM Author-Izer to disable old links and re-authorize new links for free downloads from a new location.
- Q. What happens if an author provides a URL that redirects to the author’s personal bibliography page?
- A. The service will not provide a free download from the ACM Digital Library. Instead the person who uses that link will simply go to the Citation Page for that article in the ACM Digital Library where the article may be accessed under the usual subscription rules.
However, if the author provides the target page URL, any link that redirects to that target page will enable a free download from the Service.
- Q. What happens if the author’s bibliography lives on a page with several aliases?
- A. Only one alias will work, whichever one is registered as the page containing the author’s bibliography. ACM has no technical solution to this problem at this time.
- Q. Why should authors use ACM Author-Izer?
- A. ACM Author-Izer lets visitors to authors’ personal home pages download articles for no charge from the ACM Digital Library. It allows authors to dynamically display real-time download and citation statistics for each “authorized” article on their personal site.
- Q. Does ACM Author-Izer provide benefits for authors?
- A. Downloads of definitive articles via Author-Izer links on the authors’ personal web page are captured in official ACM statistics to more accurately reflect usage and impact measurements.
Authors who do not use ACM Author-Izer links will not have downloads from their local, personal bibliographies counted. They do, however, retain the existing right to post author-prepared preprint versions on their home pages or institutional repositories with DOI pointers to the definitive version permanently maintained in the ACM Digital Library.
- Q. How does ACM Author-Izer benefit the computing community?
- A. ACM Author-Izer expands the visibility and dissemination of the definitive version of ACM articles. It is based on ACM’s strong belief that the computing community should have the widest possible access to the definitive versions of scholarly literature. By linking authors’ personal bibliography with the ACM Digital Library, user confusion over article versioning should be reduced over time.
In making ACM Author-Izer a free service to both authors and visitors to their websites, ACM is emphasizing its continuing commitment to the interests of its authors and to the computing community in ways that are consistent with its existing subscription-based access model.
- Q. Why can’t I find my most recent publication in my ACM Author Profile Page?
- A. There is a time delay between publication and the process which associates that publication with an Author Profile Page. Right now, that process usually takes 4-8 weeks.
- Q. How does ACM Author-Izer expand ACM’s “Green Path” Access Policies?
- A. ACM Author-Izer extends the rights and permissions that authors retain even after copyright transfer to ACM, which has been among the “greenest” publishers. ACM enables its author community to retain a wide range of rights related to copyright and reuse of materials. They include:
- Posting rights that ensure free access to their work outside the ACM Digital Library and print publications
- Rights to reuse any portion of their work in new works that they may create
- Copyright to artistic images in ACM’s graphics-oriented publications that authors may want to exploit in commercial contexts
- All patent rights, which remain with the original owner