Jean-Michel Renders

50 papers receiving 1.6k citations

Hit Papers

Random-Walk Computation of Similarities between Nodes of ...20072026201320192007250500750

Peers

Jean-Michel Renders
Comparison fields: 5 of 132
  • Artificial Intelligence 817
  • Statistical and Nonlinear Physics 424
  • Information Systems 348
  • Computer Vision and Pattern Recognition 300
  • Control and Systems Engineering 241
Replace Alexander L. Strehl with:
Alexander L. Strehl United States
Yilin Shen United States
Weimin Li China
Nan Lu China
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Tinghuai Ma China
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Jean-Michel Renders relative to Alexander L. Strehl United States Alexander L. Strehl's profile →
Citations per field
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Citations per year

Countries citing papers authored by Jean-Michel Renders

Since Specialization
Citations

This map shows the geographic impact of Jean-Michel Renders's research. 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 Jean-Michel Renders with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Jean-Michel Renders more than expected).

Fields of papers citing papers by Jean-Michel Renders

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Jean-Michel Renders. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the papers produced by Jean-Michel Renders. The network helps show where Jean-Michel Renders may publish in the future.

Co-authorship network of co-authors of Jean-Michel Renders

This figure shows the co-authorship network connecting the top 25 collaborators of Jean-Michel Renders. A scholar is included among the top collaborators of Jean-Michel Renders based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Jean-Michel Renders. Jean-Michel Renders is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
#WorkIndexed citations
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University of Glasgow Terrier Team and Naver Labs Europe at TREC 2019 Fair Ranking Track.
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NLE@MediaEval'17: Combining Cross-Media Similarity and Embeddings for Retrieving Diverse Social Images.
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A System for Synergistically Structuring News Content from Traditional Media and the Blogosphere
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XRCE's Participation to Patent Mining Task at NTCIR-7.
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XRCE's Participation to ImageCLEFphoto 2007
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XRCE's Participation to CLEF 2007 Domain-Specific Track.
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Kernel Methods for Document Filtering
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Genetic Algorithms and Their Potential for Use in Process Control: A Case Study.
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About Jean-Michel Renders

Jean-Michel Renders is a scholar working on Artificial Intelligence, Computer Science Applications and Computer Vision and Pattern Recognition, having authored 54 papers that have together received 1.7k indexed citations. Recurring topics across this work include Topic Modeling (12 papers), Image Retrieval and Classification Techniques (7 papers) and Neural Networks and Applications (6 papers). The work is most often cited by research in Statistical and Nonlinear Physics (424 citations), Artificial Intelligence (817 citations) and Information Systems (348 citations). Jean-Michel Renders has collaborated with scholars based in France, Belgium and United States. Frequent co-authors include Marco Saerens, François Fouss, Alain Pirotte, S. Flasse, Hugues Bersini, Raymond Hanus, Gabriela Csurka, Marc Acheroy, Christiaan Perneel and Florent Perronnin. Their work appears in journals such as IEEE Transactions on Fuzzy Systems, Fuzzy Sets and Systems and IEEE Transactions on Knowledge and Data Engineering.

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.

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