Laboratoire Informatique Paris Descartes
Impact in
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- Image Retrieval and Classification Techniques
- Advanced Image and Video Retrieval Techniques
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- Anomaly Detection Techniques and Applications
- Multi-Agent Systems and Negotiation
Papers in
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- Image Retrieval and Classification Techniques 73
- Advanced Image and Video Retrieval Techniques 40
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- Time Series Analysis and Forecasting 39
- Data Management and Algorithms 37
- Top scholars
- Mohamed NadifAhmed MehaouaThemis PalpanasJocelyne EliasHassine MounglaNicole VincentMamadou MboupBlaise Hanczar
- Journals
- Pattern Recognition (13 papers)Lecture notes in computer science (92 papers)Pattern Recognition Letters (9 papers)Computer Networks (8 papers)Proceedings of the VLDB Endowment (5 papers)
- Partner nations
- FranceUnited StatesBelgium
In The Last Decade
Laboratoire Informatique Paris Descartes
531 papers receiving 8.1k citations
Peers
Comparison fields: 5 of 213
- Computer Vision and Pattern Recognition 2.0k
- Artificial Intelligence 3.1k
- Computer Networks and Communications 2.1k
- Signal Processing 963
- Computational Mathematics 44
Countries citing scholars working at Laboratoire Informatique Paris Descartes
This map shows the geographic impact of research produced by authors working at Laboratoire Informatique Paris Descartes. 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 Laboratoire Informatique Paris Descartes with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Laboratoire Informatique Paris Descartes more than expected).
Fields of papers published by authors at Laboratoire Informatique Paris Descartes
This network shows the impact of papers affiliated with Laboratoire Informatique Paris Descartes 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 Laboratoire Informatique Paris Descartes at the time of their publication.
About Laboratoire Informatique Paris Descartes
In recent decades, authors affiliated with Laboratoire Informatique Paris Descartes have published 593 papers, which have received a total of 8.8k indexed citations . Scholars at this organization have produced 184 papers in Computer Vision and Pattern Recognition, 87 papers in Signal Processing, 259 papers in Artificial Intelligence, 110 papers in Computer Networks and Communications and 35 papers in Media Technology on the topics of Image Retrieval and Classification Techniques (73 papers), Multi-Agent Systems and Negotiation (55 papers), Logic, Reasoning, and Knowledge (49 papers), Advanced Image and Video Retrieval Techniques (40 papers), Time Series Analysis and Forecasting (39 papers), Semantic Web and Ontologies (38 papers), Data Management and Algorithms (37 papers) and Anomaly Detection Techniques and Applications (32 papers). Their work is cited by papers focused on Computer Vision and Pattern Recognition (2.0k citations), Artificial Intelligence (3.1k citations), Computer Networks and Communications (2.1k citations), Signal Processing (963 citations) and Computational Mathematics (44 citations). Authors at Laboratoire Informatique Paris Descartes collaborate with scholars in France, United States and Belgium and have published in prestigious journals including Pattern Recognition, Lecture notes in computer science, Pattern Recognition Letters, Computer Networks and Proceedings of the VLDB Endowment. Some of Laboratoire Informatique Paris Descartes's most productive authors include Mohamed Nadif, Ahmed Mehaoua, Themis Palpanas, Jocelyne Elias, Hassine Moungla, Nicole Vincent, Mamadou Mboup, Blaise Hanczar, Osman Salem and Boubakr Nour.
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.