Benjamin Renoust
Impact in
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- Data Visualization and Analytics
- Generative Adversarial Networks and Image Synthesis
- Image Retrieval and Classification Techniques
- Video Analysis and Summarization
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- Complex Network Analysis Techniques
- Opinion Dynamics and Social Influence
Papers in
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- Data Visualization and Analytics 9
- Generative Adversarial Networks and Image Synthesis 5
- Video Analysis and Summarization 5
- Face recognition and analysis 4
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- Complex Network Analysis Techniques 14
- Opinion Dynamics and Social Influence 7
- Co-authors
- Guy Mélançon (12 shared papers)Yuta Nakashima (5 shared papers)Noa García (2 shared papers)Shin’ichi Satoh (8 shared papers)Tamara Munzner (1 shared paper)Antoine Lambert (3 shared papers)David Auber (3 shared papers)Duy-Dinh Le (3 shared papers)
- Journals
- Applied Network Science (4 papers)Computer Graphics Forum (1 paper)Journal of Thoracic Oncology (1 paper)Multimedia Tools and Applications (1 paper)International Journal of Multimedia Information Retrieval (1 paper)
- Partner nations
- JapanFranceUnited Kingdom
In The Last Decade
Benjamin Renoust
30 papers receiving 281 citations
Peers
Comparison fields: 5 of 65
- Computer Vision and Pattern Recognition 169
- Statistical and Nonlinear Physics 80
- General Social Sciences 14
- Signal Processing 31
- Computer Graphics and Computer-Aided Design 10
Countries citing papers authored by Benjamin Renoust
This map shows the geographic impact of Benjamin Renoust'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 Benjamin Renoust with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Benjamin Renoust more than expected).
Fields of papers citing papers by Benjamin Renoust
This network shows the impact of papers produced by Benjamin Renoust. 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 Benjamin Renoust. The network helps show where Benjamin Renoust may publish in the future.
Co-authors
The 25 scholars most cited alongside Benjamin Renoust, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 34 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2013 | 44 | |
| 2 | 2019 | 33 | |
| 3 | 2015 | 31 | |
| 4 | 2020 | 30 | |
| 5 | 2017 | 22 | |
| 6 | 2016 | 19 | |
| 7 | 2014 | 13 | |
| 8 | 2019 | 9 | |
| 9 | 2017 | 8 | |
| 10 | 2020 | 8 | |
| 11 | 2018 | 7 | |
| 12 | 2016 | 7 | |
| 13 | 2016 | 6 | |
| 14 | 2020 | 6 | |
| 15 | 2023 | 5 | |
| 16 | 2017 | 5 | |
| 17 | 2021 | 5 | |
| 18 | NII-HITACHI-UIT at TRECVID 2016. | 2016 | 4 |
| 19 | 2019 | 4 | |
| 20 | 2017 | 4 |
About Benjamin Renoust
Benjamin Renoust is a scholar working on Computer Vision and Pattern Recognition, Statistical and Nonlinear Physics, Artificial Intelligence, Communication and Molecular Biology, having authored 34 papers that have together received 293 indexed citations. Recurring topics across this work include Complex Network Analysis Techniques (14 papers), Data Visualization and Analytics (9 papers), Opinion Dynamics and Social Influence (7 papers), Generative Adversarial Networks and Image Synthesis (5 papers), Video Analysis and Summarization (5 papers), Face recognition and analysis (4 papers), Advanced Graph Neural Networks (3 papers) and Radiomics and Machine Learning in Medical Imaging (3 papers). The work is most often cited by research in Computer Vision and Pattern Recognition (169 citations), Statistical and Nonlinear Physics (80 citations), General Social Sciences (14 citations), Signal Processing (31 citations) and Computer Graphics and Computer-Aided Design (10 citations). Benjamin Renoust has collaborated with scholars based in Japan, France and United Kingdom. Frequent co-authors include Guy Mélançon, Yuta Nakashima, Noa García, Shin’ichi Satoh, Tamara Munzner, Antoine Lambert, David Auber, Duy-Dinh Le, Arnaud Sallaberry and William J. Munro. Their work appears in journals such as Applied Network Science, Computer Graphics Forum, Journal of Thoracic Oncology, Multimedia Tools and Applications and International Journal of Multimedia Information Retrieval.
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.