Institut de l'Information Scientifique et Technique
Impact in
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- Solar Radiation and Photovoltaics
- Natural Language Processing Techniques
- Topic Modeling
- Logic, programming, and type systems
- Semantic Web and Ontologies
- Computer Science Applications top 10%
- Mobile Crowdsensing and Crowdsourcing
Papers in
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- scientometrics and bibliometrics research 30
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- Semantic Web and Ontologies 35
- Natural Language Processing Techniques 32
- Topic Modeling 15
- Top scholars
- Karën FortGilles AddaKevin Bretonnel CohenThomas EaswarakhanthanJoachim SchöpfelSerge HerçbergPaul PreziosiPilar Galan
- Journals
- Scientometrics (18 papers)Information Processing & Management (3 papers)Journal of Biological Chemistry (3 papers)Publishing Research Quarterly (3 papers)Neural Computation (3 papers)
- Partner nations
- FranceUnited StatesCanada
In The Last Decade
Institut de l'Information Scientifique et Technique
305 papers receiving 5.8k citations
Peers
Comparison fields: 5 of 219
- Artificial Intelligence 1.8k
- Computer Science Applications 297
- Renewable Energy, Sustainability and the Environment 655
- Statistics, Probability and Uncertainty 232
- Information Systems and Management 191
Countries citing scholars working at Institut de l'Information Scientifique et Technique
This map shows the geographic impact of research produced by authors working at Institut de l'Information Scientifique et Technique. It shows the number of citations coming from papers published by authors working in each country. You can also color the map by specialization and compare the number of citations received by papers produced at Institut de l'Information Scientifique et Technique with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Institut de l'Information Scientifique et Technique more than expected).
Fields of papers published by authors at Institut de l'Information Scientifique et Technique
This network shows the impact of papers affiliated with Institut de l'Information Scientifique et Technique at the time of their publication. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the papers affiliated with Institut de l'Information Scientifique et Technique at the time of their publication.
About Institut de l'Information Scientifique et Technique
In recent decades, authors affiliated with Institut de l'Information Scientifique et Technique have published 377 papers, which have received a total of 6.3k indexed citations . Scholars at this organization have produced 31 papers in Statistics, Probability and Uncertainty, 109 papers in Artificial Intelligence, 18 papers in Information Systems and Management, 59 papers in Information Systems and 20 papers in Management Information Systems on the topics of Semantic Web and Ontologies (35 papers), Natural Language Processing Techniques (32 papers), scientometrics and bibliometrics research (30 papers), Cultural Insights and Digital Impacts (28 papers), Biomedical Text Mining and Ontologies (18 papers), Optics and Image Analysis (16 papers), Research Data Management Practices (15 papers) and Topic Modeling (15 papers). Their work is cited by papers focused on Artificial Intelligence (1.8k citations), Computer Science Applications (297 citations), Renewable Energy, Sustainability and the Environment (655 citations), Statistics, Probability and Uncertainty (232 citations) and Information Systems and Management (191 citations). Authors at Institut de l'Information Scientifique et Technique collaborate with scholars in France, United States and Canada and have published in prestigious journals including Scientometrics, Information Processing & Management, Journal of Biological Chemistry, Publishing Research Quarterly and Neural Computation. Some of Institut de l'Information Scientifique et Technique's most productive authors include Karën Fort, Gilles Adda, Kevin Bretonnel Cohen, Thomas Easwarakhanthan, Joachim Schöpfel, Serge Herçberg, Paul Preziosi, Pilar Galan, J. J. Trescases and Ivan Barnes.
Rankless uses publication and citation data sourced from OpenAlex, an open and comprehensive bibliographic database. While OpenAlex provides broad and valuable coverage of the global research landscape, it—like all bibliographic datasets—has inherent limitations. These include incomplete records, variations in author disambiguation, differences in journal indexing, and delays in data updates. As a result, some metrics and network relationships displayed in Rankless may not fully capture the entirety of a scholar's output or impact.