Identifying spatial technology clusters from patenting concentrations using heat map kernel density estimation
In this paper a methodology for identifying and delineating spatial technology clusters based on patenting concentration is developed. The methodology involves the automated geocoding of patent inventor addresses, the application of a home bias ...
Comparative analysis of the research productivity, publication quality, and collaboration patterns of top ranked library and information science schools in China and the United States
This study examines the research productivity, publication quality, and collaboration patterns of researchers from the top-ranked library and information science (LIS) schools in China and the United States using Web of Science (WoS) and Scopus ...
Webometrics: evolution of social media presence of universities
This paper aims at an important task of computing the webometrics university ranking and investigating if there exists a correlation between webometrics university ranking and the rankings provided by the world prominent university rankers such as ...
A deep learning framework to early identify emerging technologies in large-scale outlier patents: an empirical study of CNC machine tool
Radical novelty is one of the key characteristics of emerging technologies. This characteristics makes emerging technologies as a quite different from established technologies. From the perspective of radical novelty, some studies consider patents ...
Flow of ideas in the study of communication channels and references in publications on nanotechnology applied to food and agriculture in Mexico
The use of the reference materials of scientific publication has increased among scientific communication literature as an approach to examine the seminal publications that mark the construction of knowledge of a new research area, and to explore ...
Does the citation period have any effect on the informative value of selected citation indicators in research evaluations?
To date, there has not been any definitive statement for bibliometric analyses from the scientific community as to how long to make the period for analysis in order to guarantee the maximum possible validity of citation analyses. Up to now, it has ...
Do current radical innovation measures actually measure radical drug innovation?
To date, there has been little agreement in the literature on what exactly constitutes radical drug innovation and how to properly measure this important construct. Without a validated measure, our ability to understand radical drug innovations, ...
What academic mobility configurations contribute to high performance: an fsQCA analysis of CSC-funded visiting scholars
Against the backdrop of globalization, the world is witnessing increasingly frequent transnational mobility, placing scientific mobility in the spotlight. Highly competitive researchers with an international vision are regarded as engines that, ...
Comparison of academic book impact from a disciplinary perspective: an analysis of citations and altmetric indicators
Academic books are an important carrier of knowledge for scientific communication. This study aims to gain an improved understanding of academic books by jointly analyzing the altmetric and citation indicators. We explore the impact of academic ...
A comparative study of first and all-author bibliographic coupling analysis based on Scientometrics
This paper takes 2,876 papers published in Scientometrics as the sample, and the time span of these papers is nearly ten years. We have studied the intellectual structure and development trend of Scientometrics in two periods within five years, ...
A ResearchGate-way to an international academic community?
Academic Social Networks (ASNs) are becoming an important tool in the professional lives of researchers, providing an online space for international academic discourse. At the micro-level, ASNs serve to facilitate, (a) knowledge sharing, (b) ...
Machine learning misclassification of academic publications reveals non-trivial interdependencies of scientific disciplines
Exploring the production of knowledge with quantitative methods is the foundation of scientometrics. In an application of machine learning to scientometrics, we here consider the classification problem of the mapping of academic publications to ...
Correction to: Machine learning misclassification of academic publications reveals non‑trivial interdependencies of scientific disciplines
In the original publication of the article, two of the reference citations were incorrectly published. These have been corrected with this Correction as below.
Using altmetrics for detecting impactful research in quasi-zero-day time-windows: the case of COVID-19
- Erik Boetto,
- Maria Pia Fantini,
- Aldo Gangemi,
- Davide Golinelli,
- Manfredi Greco,
- Andrea Giovanni Nuzzolese,
- Valentina Presutti,
- Flavia Rallo
On December 31st 2019, the World Health Organization China Country Office was informed of cases of pneumonia of unknown etiology detected in Wuhan City. The cause of the syndrome was a new type of coronavirus isolated on January 7th 2020 and named ...
Applying advanced technologies to improve clinical trials: a systematic mapping study
The increasing demand for new therapies and other clinical interventions has made researchers conduct many clinical trials. The high level of evidence generated by clinical trials makes them the main approach to evaluating new clinical ...
Why an automated tracker finds poor sharing of clinical trial results for an academic sponsor: a bibliometric analysis
Objective: a Researchers have a duty to make the results of their research available publicly. According to the FDA, clinical trial data must be made public less than 12 months after the end of the trial. The trialstracker website (
Citation inequality and the Journal Impact Factor: median, mean, (does it) matter?
Skewed citation distribution is a major limitation of the Journal Impact Factor (JIF) representing an outlier-sensitive mean citation value per journal The present study focuses primarily on this phenomenon in the medical literature by ...
Identifying influential studies and maturity level in intellectual structure of fields: evidence from strategic management
We introduce new approaches to identify influential studies and maturity levels in the intellectual structure of disciplines. To this end, we investigate the evolution of the intellectual structure of strategic management (SM) by employing ...
Institutional barriers to participation in EU framework programs: contrasting the Swiss and UK cases
The aim of this study was to examine how institutional barriers arising from policy decisions influence the level of participation of third-party countries in European Framework Programs (EU-FPs). To achieve this, we contrasted the effect of EU ...
Internationalisation, innovation, and academic–corporate co-publications
Research policy often asks for international academic collaboration or collaborations between universities and other actors in society. To improve the understanding of such collaborations, a systematic analysis of academic–corporate co-...
Mapping the research history, collaborations and trends of remote sensing in fire ecology
- Mariana M. M. de Santana,
- Eduardo Mariano-Neto,
- Rodrigo N. de Vasconcelos,
- Pavel Dodonov,
- José M. M. Medeiros
A combination of bibliometric and science mapping methods was carried out to explore characteristics of scientific production on the application of orbital remote sensing in fire ecology. The performance analyzes made it possible to identify the ...
Visualizing research trends and research theme evolution in E-learning field: 1999–2018
This paper aims to provide a comprehensive understanding of the evolution of major research themes and trends in e-learning research. A co-word analysis is applied for the analysis of the 21,656 keywords collected from 7214 articles published in ...
Scientometric analysis and knowledge mapping of literature-based discovery (1986–2020)
Literature-based discovery (LBD) aims to discover valuable latent relationships between disparate sets of literatures. This paper presents the first inclusive scientometric overview of LBD research. We utilize a comprehensive scientometric ...
The contribution of CEE authors to psychological science: a comparative analysis of papers published in CEE and non-CEE journals indexed by Scopus in the period 1996—2013
Psychology is one of the most productive social sciences in Central and Eastern European (CEE) countries. However, authors from CEE countries continue to publish their work in national scientific journals and limit scientific collaboration to ...
Text structuring methods based on complex network: a systematic review
- Samuel Zanferdini Oliva,
- Livia Oliveira-Ciabati,
- Denise Gazotto Dezembro,
- Mário Sérgio Adolfi Júnior,
- Maísa de Carvalho Silva,
- Hugo Cesar Pessotti,
- Juliana Tarossi Pollettini
Currently, there is a large amount of text being shared through the Internet. These texts are available in different forms—structured, unstructured and semi structured. There are different ways of analyzing texts, but domain experts usually divide ...
The lack of meaningful boundary differences between journal impact factor quartiles undermines their independent use in research evaluation
Journal impact factor (JIF) quartiles are often used as a convenient means of conducting research evaluation, abstracting the underlying JIF values. We highlight and investigate an intrinsic problem associated with this approach: the differences ...
Forecasting the future of library and information science and its sub-fields
Forecasting is one of the methods applied in many studies in the library and information science (LIS) field for numerous purposes, from making predictions of the next Nobel laureates to potential technological developments. This study sought to ...
Big data augmentated business trend identification: the case of mobile commerce
Identifying and monitoring business and technological trends are crucial for innovation and competitiveness of businesses. Exponential growth of data across the world is invaluable for identifying emerging and evolving trends. On the other hand, ...
Paper acceptance prediction at the institutional level based on the combination of individual and network features
Papers published in top conferences or journals is an important measure of the innovation ability of institutions, and ranking paper acceptance rate can be helpful for evaluating affiliation potential in academic research. Most studies only focus ...
Quantitative evaluation of the production and trends in research applying the structural equation modelling method
There are various statistical methods serving to analyse data and test hypotheses. The structural equation modelling method is nonetheless one of the most widespread as it allows to estimate complex causal relationships between different ...