Frédéric Andrès
Impact in
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- Advanced Neural Network Applications
Papers in
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- Semantic Web and Ontologies 10
- Topic Modeling 4
- Advanced Text Analysis Techniques 4
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- Video Analysis and Summarization 7
- Image Retrieval and Classification Techniques 4
- Data Visualization and Analytics 3
- Co-authors
- Xiangfeng Dai (3 shared papers)Gheorghiță Ghinea (7 shared papers)Deepak Garg (1 shared paper)Stephen R. Gulliver (1 shared paper)Irena Spasić (2 shared papers)Samuel Chapman (1 shared paper)Rajeev Agrawal (2 shared papers)Chutiporn Anutariya (5 shared papers)
- Journals
- Applied Sciences (2 papers)IEEE Access (2 papers)IEEE Multimedia (2 papers)Neurocomputing (1 paper)Multimedia Tools and Applications (1 paper)
- Partner nations
- JapanUnited StatesFrance
In The Last Decade
Frédéric Andrès
54 papers receiving 474 citations
Peers
Comparison fields: 5 of 102
- Computational Mathematics 5
- Computer Vision and Pattern Recognition 141
- Human-Computer Interaction 36
- Sensory Systems 29
- Space and Planetary Science 7
Countries citing papers authored by Frédéric Andrès
This map shows the geographic impact of Frédéric Andrès'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 Frédéric Andrès with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Frédéric Andrès more than expected).
Fields of papers citing papers by Frédéric Andrès
This network shows the impact of papers produced by Frédéric Andrès. 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 Frédéric Andrès. The network helps show where Frédéric Andrès may publish in the future.
Co-authors
The 25 scholars most cited alongside Frédéric Andrès, 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 69 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2020 | 92 | |
| 2 | 2019 | 78 | |
| 3 | 2011 | 66 | |
| 4 | 2015 | 57 | |
| 5 | 2021 | 35 | |
| 6 | 2018 | 11 | |
| 7 | 2018 | 9 | |
| 8 | 2009 | 9 | |
| 9 | 2006 | 8 | |
| 10 | 2001 | 8 | |
| 11 | CyberBrain: Towards the Next Generation Social Intelligence | 2008 | 8 |
| 12 | A Visual Lexical Model of Caravanserais of Silk Roads, A Tool for Semantic Access to Architectural 3D Data. | 2004 | 7 |
| 13 | 2019 | 7 | |
| 14 | 2021 | 7 | |
| 15 | 2010 | 7 | |
| 16 | 2006 | 5 | |
| 17 | 2007 | 5 | |
| 18 | 2017 | 5 | |
| 19 | 2005 | 4 | |
| 20 | 2005 | 4 |
About Frédéric Andrès
Frédéric Andrès is a scholar working on Artificial Intelligence, Computer Vision and Pattern Recognition, Computer Networks and Communications, Information Systems and Management Information Systems, having authored 69 papers that have together received 508 indexed citations. Recurring topics across this work include Semantic Web and Ontologies (10 papers), Video Analysis and Summarization (7 papers), Multimedia Communication and Technology (4 papers), Data Management and Algorithms (4 papers), Topic Modeling (4 papers), Advanced Text Analysis Techniques (4 papers), Image Retrieval and Classification Techniques (4 papers) and Data Visualization and Analytics (3 papers). The work is most often cited by research in Computational Mathematics (5 citations), Computer Vision and Pattern Recognition (141 citations), Human-Computer Interaction (36 citations), Sensory Systems (29 citations) and Space and Planetary Science (7 citations). Frédéric Andrès has collaborated with scholars based in Japan, United States and France. Frequent co-authors include Xiangfeng Dai, Gheorghiță Ghinea, Deepak Garg, Stephen R. Gulliver, Irena Spasić, Samuel Chapman, Rajeev Agrawal, Chutiporn Anutariya, Maria C. A. Leite and Celso A. S. Santos. Their work appears in journals such as Applied Sciences, IEEE Access, IEEE Multimedia, Neurocomputing and Multimedia Tools and Applications.
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.