Institut de l'Information Scientifique et Technique
Impact in
-
- Mobile Crowdsensing and Crowdsourcing
-
- Photovoltaic System Optimization Techniques
- Solar Thermal and Photovoltaic Systems
Papers in
-
- scientometrics and bibliometrics research 26
-
- Scientific Computing and Data Management 10
- Top scholars
- Nicole DarmonT. EaswarakhanthanKarën FortGilles AddaKevin Bretonnel CohenAndré BriendElaine FergusonJoachim Schöpfel
- Journals
- Radiocarbon (32 papers)Scientometrics (18 papers)Public Health Nutrition (3 papers)Information Processing & Management (3 papers)Journal of Biological Chemistry (3 papers)
- Partner nations
- FranceUnited StatesItaly
In The Last Decade
Institut de l'Information Scientifique et Technique
231 papers receiving 5.5k citations
Peers
Comparison fields: 5 of 228
- Computer Science Applications 232
- Renewable Energy, Sustainability and the Environment 664
- Artificial Intelligence 1.1k
- Statistics, Probability and Uncertainty 220
- Developmental Biology 59
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 319 papers, which have received a total of 5.7k indexed citations . Scholars at this organization have produced 26 papers in Statistics, Probability and Uncertainty, 14 papers in Information Systems and Management, 45 papers in Information Systems, 14 papers in Management Information Systems and 50 papers in Artificial Intelligence on the topics of scientometrics and bibliometrics research (26 papers), Cultural Insights and Digital Impacts (25 papers), Semantic Web and Ontologies (21 papers), Optics and Image Analysis (14 papers), Research Data Management Practices (14 papers), Natural Language Processing Techniques (12 papers), Scientific Computing and Data Management (10 papers) and Web visibility and informetrics (9 papers). Their work is cited by papers focused on Computer Science Applications (232 citations), Renewable Energy, Sustainability and the Environment (664 citations), Artificial Intelligence (1.1k citations), Statistics, Probability and Uncertainty (220 citations) and Developmental Biology (59 citations). Authors at Institut de l'Information Scientifique et Technique collaborate with scholars in France, United States and Italy and have published in prestigious journals including Radiocarbon, Scientometrics, Public Health Nutrition, Information Processing & Management and Journal of Biological Chemistry. Some of Institut de l'Information Scientifique et Technique's most productive authors include Nicole Darmon, T. Easwarakhanthan, Karën Fort, Gilles Adda, Kevin Bretonnel Cohen, André Briend, Elaine Ferguson, Joachim Schöpfel, Takayoshi Kano and Heli Jantunen.
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.