default search action
Tobias Meisen
Person information
Refine list
refinements active!
zoomed in on ?? of ?? records
view refined list in
export refined list as
showing all ?? records
2020 – today
- 2024
- [j19]Nils Müller, Jens Reermann, Tobias Meisen:
Navigating the Depths: A Comprehensive Survey of Deep Learning for Passive Underwater Acoustic Target Recognition. IEEE Access 12: 154092-154118 (2024) - [j18]Tristan Langer
, Richard Meyes
Guided Exploration of Industrial Sensor Data. Comput. Graph. Forum 43(1) (2024) - [j17]Miguel Alves Gomes
It's Not Always about Wide and Deep Models: Click-Through Rate Prediction with a Customer Behavior-Embedding Representation. J. Theor. Appl. Electron. Commer. Res. 19(1): 135-151 (2024) - [c83]Simon Hadwiger, David Kube, Vladimir Lavrik, Tobias Meisen:
Towards Precision in Motion: Investigating the Influences of Curriculum Learning based on a Multi-Purpose Performance Metric for Vision-Based Forklift Navigation. CASE 2024: 796-803 - [c82]Yannik Hahn, Robert F. Maack, Hasan Tercan, Tobias Meisen, Marion Purrio, Guido Buchholz, Matthias Angerhausen:
Quality Prediction in Arc Welding: Leveraging Transformer Models and Discrete Representations from Vector Quantised-VAE. CIKM 2024: 4522-4529 - [c81]Loveneet Saini, Yu Su, Hasan Tercan, Tobias Meisen:
CenterPoint Transformer for BEV Object Detection with Automotive Radar. CVPR Workshops 2024: 4451-4460 - [c80]Basile Tousside, Jörg Frochte
CNNs Sparsification and Expansion for Continual Learning. ICAART (2) 2024: 110-120 - [c79]Mario Angos-Mediavilla, Michael Gorenzweig, Gerome Pahnke, André Pomp, Matthias Freund, Tobias Meisen:
Advancing Industry 4.0: Integrating Data Governance into Asset Administration Shell for Enhanced Interoperability. ICEIS (1) 2024: 128-140 - [c78]Marianna Jantunen
Researchers' Concerns on Artificial Intelligence Ethics: Results from a Scenario-Based Survey. IWSiB@ICSE 2024: 24-31 - [c77]Maike Jansen, Eva Blomqvist, Robin Keskisärkkä, Huanyu Li, Mikael Lindecrantz, Karin Wannerberg, André Pomp, Tobias Meisen, Holger Berg:
Modelling Digital Product Passports for the Circular Economy. KG4S@ESWC 2024: 14-28 - [c76]Sayed Hoseini, Andreas Burgdorf, Alexander Paulus, Tobias Meisen, Christoph Quix, André Pomp:
Towards LLM-augmented Creation of Semantic Models for Dataspaces. SDS@ESWC 2024 - [i17]Constantin Waubert de Puiseau, Christian Dörpelkus, Jannik Peters, Hasan Tercan, Tobias Meisen:
Beyond Training: Optimizing Reinforcement Learning Based Job Shop Scheduling Through Adaptive Action Sampling. CoRR abs/2406.07325 (2024) - [i16]Felix Stillger, Frederik Hasecke, Tobias Meisen:
Principal Component Clustering for Semantic Segmentation in Synthetic Data Generation. CoRR abs/2406.17541 (2024) - [i15]Miguel Alves Gomes, Philipp Meisen, Tobias Meisen:
Towards Lifelong Learning Embeddings: An Algorithmic Approach to Dynamically Extend Embeddings. CoRR abs/2408.14118 (2024) - [i14]Christian Bohn, Ido Freeman, Hasan Tercan, Tobias Meisen:
Task Weighting through Gradient Projection for Multitask Learning. CoRR abs/2409.01793 (2024) - [i13]Jannik Peters
A Survey on Emergent Language. CoRR abs/2409.02645 (2024) - [i12]Daniel Busch, Ido Freeman, Richard Meyes, Tobias Meisen:
Improved Single Camera BEV Perception Using Multi-Camera Training. CoRR abs/2409.02676 (2024) - [i11]Constantin Waubert de Puiseau, Fabian Wolz, Merlin Montag, Jannik Peters, Hasan Tercan, Tobias Meisen:
Decision Transformer for Enhancing Neural Local Search on the Job Shop Scheduling Problem. CoRR abs/2409.02697 (2024) - 2023
- [j16]Miguel Alves Gomes
A review on customer segmentation methods for personalized customer targeting in e-commerce use cases. Inf. Syst. E Bus. Manag. 21(3): 527-570 (2023) - [j15]Miguel Alves Gomes
TEE: Real-Time Purchase Prediction Using Time Extended Embeddings for Representing Customer Behavior. J. Theor. Appl. Electron. Commer. Res. 18(3): 1404-1418 (2023) - [j14]Constantin Waubert de Puiseau
schlably: A Python framework for deep reinforcement learning based scheduling experiments. SoftwareX 22: 101383 (2023) - [j13]Maike Jansen
Stop Guessing in the Dark: Identified Requirements for Digital Product Passport Systems. Syst. 11(3): 123 (2023) - [c75]Simon Hadwiger, Vladimir Lavrik, Li Xin Liao, Tobias Meisen:
Simulation-to-Reality Transfer of a Two-Stage Deep Reinforcement Learning Controller for Autonomous Load Carrier Approaching. ICARSC 2023: 232-238 - [c74]Hasan Tercan
Online Quality Prediction in Windshield Manufacturing using Data-Efficient Machine Learning. KDD 2023: 4914-4923 - [c73]Alexander Paulus, Andreas Burgdorf, André Pomp, Tobias Meisen:
Filtering Recommender System for Semantic Model Refinement. ICSC 2023: 183-190 - [c72]Alexander Paulus, Andreas Burgdorf, Tobias Meisen, André Pomp:
Extending PLASMA for Industrial Semantic Modeling. SemIIM 2023 - [c71]Alexander Paulus
The PLASMA Framework: Laying the Path to Domain-Specific Semantics in Dataspaces. WWW (Companion Volume) 2023: 1474-1479 - [c70]André Pomp
SPACE_DS: Towards a Circular Economy Data Space. WWW (Companion Volume) 2023: 1500-1501 - [c69]Tristan Langer
Towards a Data Space for Interoperability of Analytic Provenance. WWW (Companion Volume) 2023: 1502-1503 - [i10]Constantin Waubert de Puiseau, Jannik Peters
schlably: A Python Framework for Deep Reinforcement Learning Based Scheduling Experiments. CoRR abs/2301.04182 (2023) - [i9]Constantin Waubert de Puiseau, Hasan Tercan, Tobias Meisen:
Curriculum Learning in Job Shop Scheduling using Reinforcement Learning. CoRR abs/2305.10192 (2023) - [i8]Yannik Hahn
Towards a Deep Learning-based Online Quality Prediction System for Welding Processes. CoRR abs/2310.12632 (2023) - 2022
- [j12]Andreas Burgdorf
VC-SLAM - A Handcrafted Data Corpus for the Construction of Semantic Models. Data 7(2): 17 (2022) - [j11]Vladimir Samsonov
Reinforcement Learning in Manufacturing Control: Baselines, challenges and ways forward. Eng. Appl. Artif. Intell. 112: 104868 (2022) - [j10]Yannik Steiniger
Survey on deep learning based computer vision for sonar imagery. Eng. Appl. Artif. Intell. 114: 105157 (2022) - [j9]Hasan Tercan
Continual learning of neural networks for quality prediction in production using memory aware synapses and weight transfer. J. Intell. Manuf. 33(1): 283-292 (2022) - [j8]Constantin Waubert de Puiseau
On reliability of reinforcement learning based production scheduling systems: a comparative survey. J. Intell. Manuf. 33(4): 911-927 (2022) - [j7]Hasan Tercan
Machine learning and deep learning based predictive quality in manufacturing: a systematic review. J. Intell. Manuf. 33(7): 1879-1905 (2022) - [j6]Tristan Langer
Gideon Replay: A library to replay interactions in web-applications. SoftwareX 17: 100964 (2022) - [c68]Simon Hadwiger, Tobias Meisen:
Autonomous Load Carrier Approaching Based on Deep Reinforcement Learning with Compressed Visual Information. AI4I 2022: 48-53 - [c67]Andreas Burgdorf, Alexander Paulus, André Pomp, Tobias Meisen
DocSemMap 2.0: Semantic Labeling based on Textual Data Documentations Using Seq2Seq Context Learner. CIKM 2022: 98-107 - [c66]Miguel Alves Gomes
Will This Online Shopping Session Succeed? Predicting Customer's Purchase Intention Using Embeddings. CIKM 2022: 2873-2882 - [c65]Alexander Paulus, Andreas Burgdorf, Tristan Langer, André Pomp, Tobias Meisen
PLASMA: A Semantic Modeling Tool for Domain Experts. CIKM 2022: 4946-4950 - [c64]Andreas Burgdorf
Domain-independent Data-to-Text Generation for Open Data. DATA 2022: 95-106 - [c63]Oliver Böhme, Tobias Meisen
Predicting the Progress of Vehicle Development Projects using an Attention-based Encoder-Decoder Model. ICCTA 2022: 91-97 - [c62]André Pomp, Andreas Burgdorf, Alexander Paulus, Tobias Meisen:
Using IoT Technology for the Skilled Crafts. ICEIS (Revised Selected Papers) 2022: 48-63 - [c61]Tristan Langer
Visual Interactive Exploration and Labeling of Large Volumes of Industrial Time Series Data. ICEIS (Revised Selected Papers) 2022: 85-108 - [c60]André Pomp, Andreas Burgdorf
Towards Unlocking the Potential of the Internet of Things for the Skilled Crafts. ICEIS (1) 2022: 203-210 - [c59]Tristan Langer
Gideon-TS: Efficient Exploration and Labeling of Multivariate Industrial Sensor Data. ICEIS (1) 2022: 321-331 - [c58]Alexander Paulus, Andreas Burgdorf
Using Node Embeddings to Generate Recommendations for Semantic Model Creation. ICEIS (1) 2022: 699-708 - [c57]Robert F. Maack, Hasan Tercan, Tobias Meisen
Deep Learning based Visual Quality Inspection for Industrial Assembly Line Production using Normalizing Flows. INDIN 2022: 329-334 - [c56]Andreas Burgdorf
DocSemMap: Leveraging Textual Data Documentations for Mapping Structured Data Sets into Knowledge Graphs. ICSC 2022: 209-216 - [i7]Christian Bitter, Timo Thun, Tobias Meisen
Karolos: An Open-Source Reinforcement Learning Framework for Robot-Task Environments. CoRR abs/2212.00906 (2022) - 2021
- [j5]Tristan Langer
System Design to Utilize Domain Expertise for Visual Exploratory Data Analysis. Inf. 12(4): 140 (2021) - [c55]Christian Bitter
When to Message: Investigating User Response Prediction with Machine Learning for Advertisement Emails. AI4I 2021: 25-29 - [c54]André Pomp, Alexander Paulus, Andreas Burgdorf, Tobias Meisen
A Semantic Data Marketplace for Easy Data Sharing within a Smart City. CIKM 2021: 4774-4778 - [c53]Oliver Böhme, Tobias Meisen
Applied Feature-oriented Project Life Cycle Classification. DATA 2021: 285-291 - [c52]Miguel Alves Gomes
A Filter is Better Than None: Improving Deep Learning-Based Product Recommendation Models by Using a User Preference Filter. HPCC/DSS/SmartCity/DependSys 2021: 1278-1285 - [c51]Oliver Böhme, Tobias Meisen:
Predicting the Progress of Vehicle Development Projects: An Approach for the Identification of Input Features. ICAART (2) 2021: 522-530 - [c50]Vladimir Samsonov, Marco Kemmerling, Maren Paegert, Daniel Lütticke
Manufacturing Control in Job Shop Environments with Reinforcement Learning. ICAART (2) 2021: 589-597 - [c49]Alexander Paulus, Andreas Burgdorf
PLASMA: Platform for Auxiliary Semantic Modeling Approaches. ICEIS (2) 2021: 403-412 - [c48]Sebastian Pol, Schirin Baer, Danielle Turner, Vladimir Samsonov, Tobias Meisen:
Global Reward Design for Cooperative Agents to Achieve Flexible Production Control under Real-time Constraints. ICEIS (1) 2021: 515-526 - [c47]Tristan Langer
Visual Analytics for Industrial Sensor Data Analysis. ICEIS (1) 2021: 584-593 - [c46]Hasan Tercan, Christian Bitter
Evaluating a Session-based Recommender System using Prod2vec in a Commercial Application. ICEIS (1) 2021: 610-617 - [c45]Robert F. Maack, Hasan Tercan, Alexia Fenollar Solvay, Maximilian Mieth, Tobias Meisen
Fault Detection in Railway Switches using Deformable Convolutional Neural Networks. INDIN 2021: 1-6 - [c44]Alexander Paulus, Andreas Burgdorf
Recent Advances and Future Challenges of Semantic Modeling. ICSC 2021: 70-75 - [c43]Friedrich von Bülow
Fleet Management Approach for Manufacturers displayed at the Use Case of Battery Electric Vehicles. SMC 2021: 3218-3225 - 2020
- [c42]Aymen Gannouni
Neural Combinatorial Optimization for Production Scheduling with Sequence-Dependent Setup Waste. SMC 2020: 2640-2647 - [i6]Richard Meyes, Constantin Waubert de Puiseau, Andres Posada-Moreno, Tobias Meisen:
Under the Hood of Neural Networks: Characterizing Learned Representations by Functional Neuron Populations and Network Ablations. CoRR abs/2004.01254 (2020) - [i5]Richard Meyes, Moritz Schneider, Tobias Meisen:
How Do You Act? An Empirical Study to Understand Behavior of Deep Reinforcement Learning Agents. CoRR abs/2004.03237 (2020) - [i4]Andreas Burgdorf, André Pomp, Tobias Meisen:
Towards NLP-supported Semantic Data Management. CoRR abs/2005.06916 (2020)
2010 – 2019
- 2019
- [j4]Andrei Ionita, André Pomp, Michael Cochez
Transferring Knowledge from Monitored to Unmonitored Areas for Forecasting Parking Spaces. Int. J. Artif. Intell. Tools 28(6): 1960003:1-1960003:34 (2019) - [c41]Schirin Baer, Jupiter Bakakeu, Richard Meyes, Tobias Meisen
Multi-Agent Reinforcement Learning for Job Shop Scheduling in Flexible Manufacturing Systems. AI4I 2019: 22-25 - [c40]André Pomp, Lucian Poth, Vadim Kraus, Tobias Meisen:
Enhancing Knowledge Graphs with Data Representatives. ICEIS (1) 2019: 49-60 - [c39]André Pomp, Vadim Kraus, Lucian Poth, Tobias Meisen
Semantic Concept Recommendation for Continuously Evolving Knowledge Graphs. ICEIS (Revised Selected Papers) 2019: 361-385 - [c38]Jan Pennekamp
Towards an Infrastructure Enabling the Internet of Production. ICPS 2019: 31-37 - [c37]Andreas Kirmse, Vadim Kraus, Tristan Langer
How To RAMI 4.0: Towards An Agent-based Information Management Architecture. HPCS 2019: 961-968 - [c36]Christian Wolf, Andreas Kirmse, Maximilian Burkhalter, Max Hoffmann, Tobias Meisen
Model to assess the Economic Profitability of Predictive Maintenance Projects. HPCS 2019: 976-981 - [c35]Hasan Tercan, Alexandro Guajardo, Tobias Meisen
Industrial Transfer Learning: Boosting Machine Learning in Production. INDIN 2019: 274-279 - [c34]André Pomp, Johannes Lipp
You are Missing a Concept! Enhancing Ontology-Based Data Access with Evolving Ontologies. ICSC 2019: 98-105 - [c33]Robert Jungnickel
Evaluation and Comparison of Cross-lingual Text Processing Pipelines. SSCI 2019: 417-425 - [c32]Vladimir Samsonov
More Machine Learning for Less: Comparing Data Generation Strategies in Mechanical Engineering and Manufacturing. SSCI 2019: 799-807 - [c31]Tristan Langer
Towards Utilizing Domain Expertise for Exploratory Data Analysis. VINCI 2019: 19:1-19:5 - [i3]Richard Meyes, Melanie Lu, Constantin Waubert de Puiseau, Tobias Meisen:
Ablation Studies in Artificial Neural Networks. CoRR abs/1901.08644 (2019) - [i2]Andrei Ionita, André Pomp, Michael Cochez, Tobias Meisen, Stefan Decker:
Transferring knowledge from monitored to unmonitored areas for forecasting parking spaces. CoRR abs/1908.03629 (2019) - 2018
- [j3]You Wang, Hasan Tercan, Torsten Hermanns, Thomas Thiele, Tobias Meisen, Sabina Jeschke, Wolfgang Schulz:
Sparse Data Enrichment by Context Oriented Model Reduction Techniques in Manufacturing Industry with an Example Laser Drilling Process. J. ICT Stand. 6(3): 203-216 (2018) - [c30]Marc Haßler, Andreas Burgdorf
Similarity Recognition of Interval-Based Sleep Data. HealthCom 2018: 1-5 - [c29]Christian Kohlschein, Daniel Klischies, Alexander Paulus, Andreas Burgdorf
An Extensible Semantic Search Engine for Biomedical Publications. HealthCom 2018: 1-6 - [c28]André Pomp, Alexander Paulus, Daniel Klischies, Christian Schwier, Tobias Meisen
A Web-based UI to Enable Semantic Modeling for Everyone. SEMANTiCS 2018: 249-254 - [c27]Alexander Paulus, André Pomp, Lucian Poth, Johannes Lipp
Gathering and Combining Semantic Concepts from Multiple Knowledge Bases. ICEIS (1) 2018: 69-80 - [c26]Andreas Kirmse, Vadim Kraus, Max Hoffmann, Tobias Meisen:
An Architecture for Efficient Integration and Harmonization of Heterogeneous, Distributed Data Sources Enabling Big Data Analytics. ICEIS (1) 2018: 175-182 - [c25]Alexander Paulus, André Pomp, Lucian Poth, Johannes Lipp
Recommending Semantic Concepts for Improving the Process of Semantic Modeling. ICEIS (Revised Selected Papers) 2018: 350-369 - [c24]Marc Haßler, André Pomp, Christian Kohlschein, Tobias Meisen
STIDes Revisited - Tackling Global Time Shifts and Scaling. IIT 2018: 63-68 - [c23]Daniel Lütticke
Design of an Automated Measuring System for RFID Transponders in Complex Environments. RFID-TA 2018: 1-6 - [c22]Alexander Paulus, André Pomp, Lucian Poth, Johannes Lipp
Towards Combining Semantic Concepts from Multiple Knowledge Bases. ICSC 2018: 312-313 - [c21]Andrei Ionita, André Pomp, Michael Cochez
Where to Park?: Predicting Free Parking Spots in Unmonitored City Areas. WIMS 2018: 22:1-22:12 - [i1]Peter Lillian, Richard Meyes, Tobias Meisen:
Ablation of a Robot's Brain: Neural Networks Under a Knife. CoRR abs/1812.05687 (2018) - 2017
- [j2]Hasan Tercan
Improving the laser cutting process design by machine learning techniques. Prod. Eng. 11(2): 195-203 (2017) - [c20]Felix Kuschicke, Thomas Thiele, Tobias Meisen
A Data-based Method for Industrial Big Data Project Prioritization. BDIOT 2017: 6-10 - [c19]André Pomp, Alexander Paulus, Sabina Jeschke, Tobias Meisen
Enabling Semantics in Enterprises. ICEIS (Revised Selected Papers) 2017: 428-450 - [c18]André Pomp, Alexander Paulus, Sabina Jeschke, Tobias Meisen:
ESKAPE: Information Platform for Enabling Semantic Data Processing. ICEIS (2) 2017: 644-655 - [c17]Daniela Antkowiak, Daniel Lütticke
Cyber-Physical Production Systems: A Teaching Concept in Engineering Education. IIAI-AAI 2017: 681-686 - [c16]You Wang, Hasan Tercan
Advanced data enrichment and data analysis in manufacturing industry by an example of laser drilling process. Kaleidoscope 2017: 1-5 - [c15]Max Hoffmann, Tobias Meisen
OPC UA Based ERP Agents: Enabling Scalable Communication Solutions in Heterogeneous Automation Environments. PAAMS 2017: 120-131 - [c14]André Pomp, Alexander Paulus, Sabina Jeschke, Tobias Meisen
ESKAPE: Platform for Enabling Semantics in the Continuously Evolving Internet of Things. ICSC 2017: 262-263 - 2016
- [c13]Daniela Antkowiak, Christian Kohlschein, Roksaneh Krooß, Maximilian Speicher
Language therapy of aphasia supported by augmented reality applications. HealthCom 2016: 1-6 - [c12]Max Hoffmann, Philipp Thomas, Daniel Schütz, Birgit Vogel-Heuser
Semantic integration of multi-agent systems using an OPC UA information modeling approach. INDIN 2016: 744-747 - 2015
- [c11]Max Hoffmann, Lana Plumanns, Laura Lenz, Katharina Schuster, Tobias Meisen
Enhancing the Learning Success of Engineering Students by Virtual Experiments. HCI (24) 2015: 394-405 - [c10]Alexander Paulus, Philipp Meisen, Tobias Meisen
AUDIME: Augmented disaster medicine. HealthCom 2015: 342-345 - [c9]Philipp Meisen, Diane Keng, Tobias Meisen
Querying Time Interval Data. ICEIS (Revised Selected Papers) 2015: 45-68 - [c8]Philipp Meisen, Diane Keng, Tobias Meisen, Marco Recchioni, Sabina Jeschke:
TIDAQL - A Query Language Enabling on-Line Analytical Processing of Time Interval Data. ICEIS (1) 2015: 54-66 - [c7]Philipp Meisen, Diane Keng, Tobias Meisen
Bitmap-Based On-line Analytical Processing of Time Interval Data. ITNG 2015: 20-26 - 2014
- [c6]Philipp Meisen, Marco Recchioni, Tobias Meisen
Modeling and processing of time interval data for data-driven decision support. SMC 2014: 2946-2953 - [p1]Daniel Schilberg, Tobias Meisen, Rudolf Reinhard:
Virtuelle Produktion - Die Virtual Production Intelligence im Einsatz. Exploring Virtuality 2014: 93-110 - 2012
- [c5]Rudolf Reinhard, Christian Büscher, Tobias Meisen
Virtual Production Intelligence - A Contribution to the Digital Factory. ICIRA (1) 2012: 706-715 - 2011
- [j1]Thomas Beer, Tobias Meisen
The virtual production simulation platform: from collaborative distributed simulation to integrated visual analysis. Prod. Eng. 5(4): 383-391 (2011) - [c4]Tobias Meisen, Philipp Meisen, Daniel Schilberg, Sabina Jeschke:
Application Integration of Simulation Tools Considering Domain Specific Knowledge. ICEIS (1) 2011: 42-53 - [c3]Tobias Meisen
Adaptive Information Integration: Bridging the Semantic Gap between Numerical Simulations. ICEIS 2011: 51-65 - [c2]Thomas Beer, Gerrit Garbereder, Tobias Meisen
A Multi Level Time Model for Interactive Multiple Dataset Visualization: The Dataset Sequencer. ISVC (2) 2011: 681-690
2000 – 2009
- 2008
- [c1]Ira Assent
Efficient similarity search using the Earth Mover's Distance for large multimedia databases. ICDE 2008: 307-316
Coauthor Index
manage site settings
To protect your privacy, all features that rely on external API calls from your browser are turned off by default. You need to opt-in for them to become active. All settings here will be stored as cookies with your web browser. For more information see our F.A.Q.
Unpaywalled article links
Add open access links from to the list of external document links (if available).
Privacy notice: By enabling the option above, your browser will contact the API of unpaywall.org to load hyperlinks to open access articles. Although we do not have any reason to believe that your call will be tracked, we do not have any control over how the remote server uses your data. So please proceed with care and consider checking the Unpaywall privacy policy.
Archived links via Wayback Machine
For web page which are no longer available, try to retrieve content from the of the Internet Archive (if available).
Privacy notice: By enabling the option above, your browser will contact the API of archive.org to check for archived content of web pages that are no longer available. Although we do not have any reason to believe that your call will be tracked, we do not have any control over how the remote server uses your data. So please proceed with care and consider checking the Internet Archive privacy policy.
Reference lists
Add a list of references from ,
, and
to record detail pages.
load references from crossref.org and opencitations.net
Privacy notice: By enabling the option above, your browser will contact the APIs of crossref.org, opencitations.net, and semanticscholar.org to load article reference information. Although we do not have any reason to believe that your call will be tracked, we do not have any control over how the remote server uses your data. So please proceed with care and consider checking the Crossref privacy policy and the OpenCitations privacy policy, as well as the AI2 Privacy Policy covering Semantic Scholar.
Citation data
Add a list of citing articles from and
to record detail pages.
load citations from opencitations.net
Privacy notice: By enabling the option above, your browser will contact the API of opencitations.net and semanticscholar.org to load citation information. Although we do not have any reason to believe that your call will be tracked, we do not have any control over how the remote server uses your data. So please proceed with care and consider checking the OpenCitations privacy policy as well as the AI2 Privacy Policy covering Semantic Scholar.
OpenAlex data
Load additional information about publications from .
Privacy notice: By enabling the option above, your browser will contact the API of openalex.org to load additional information. Although we do not have any reason to believe that your call will be tracked, we do not have any control over how the remote server uses your data. So please proceed with care and consider checking the information given by OpenAlex.
last updated on 2024-11-15 19:32 CET by the dblp team
all metadata released as open data under CC0 1.0 license
see also: Terms of Use | Privacy Policy | Imprint
dblp was originally created in 1993 at:
since 2018, dblp has been operated and maintained by:
the dblp computer science bibliography is funded and supported by: