Valentin Grouès
Impact in
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- Recommender Systems and Techniques
- Research Data Management Practices
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- Scientific Computing and Data Management
Papers in
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- Biomedical Text Mining and Ontologies 5
- Bioinformatics and Genomic Networks 5
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- Semantic Web and Ontologies 5
- Speech and dialogue systems 2
- Co-authors
- Yannick Naudet (4 shared papers)Max Chevalier (1 shared paper)Venkata Satagopam (8 shared papers)Odej Kao (2 shared papers)Paul P. Jung (1 shared paper)Yohan Jarosz (1 shared paper)Reinhard Schneider (5 shared papers)Wei Gu (3 shared papers)
- Journals
- GigaScience (3 papers)Environmental Science & Technology Letters (1 paper)Scientific Data (1 paper)JAMIA Open (1 paper)SHILAP Revista de lepidopterología (1 paper)
- Partner nations
- LuxembourgGermanyUnited Kingdom
In The Last Decade
Valentin Grouès
13 papers receiving 48 citations
Peers
Comparison fields: 5 of 34
- Information Systems 30
- Information Systems and Management 8
- Computer Science Applications 5
- Artificial Intelligence 18
- Health Information Management 2
Countries citing papers authored by Valentin Grouès
This map shows the geographic impact of Valentin Grouès'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 Valentin Grouès with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Valentin Grouès more than expected).
Fields of papers citing papers by Valentin Grouès
This network shows the impact of papers produced by Valentin Grouès. 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 Valentin Grouès. The network helps show where Valentin Grouès may publish in the future.
Co-authors
The 25 scholars most cited alongside Valentin Grouès, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2019 | 8 | |
| 2 | 2014 | 8 | |
| 3 | 2008 | 8 | |
| 4 | 2011 | 4 | |
| 5 | 2025 | 4 | |
| 6 | 2023 | 3 | |
| 7 | 2018 | 3 | |
| 8 | 2019 | 3 | |
| 9 | 2018 | 3 | |
| 10 | 2012 | 3 | |
| 11 | 2012 | 3 | |
| 12 | 2022 | 2 | |
| 13 | Common vs. Expert knowledge: making the Semantic Web an educational model. | 2012 | 2 |
| 14 | 2020 | 0 | |
| 15 | 2023 | 0 | |
| 16 | 2022 | 0 |
About Valentin Grouès
Valentin Grouès is a scholar working on Molecular Biology, Artificial Intelligence, Information Systems, Computer Vision and Pattern Recognition and Information Systems and Management, having authored 16 papers that have together received 54 indexed citations. Recurring topics across this work include Semantic Web and Ontologies (5 papers), Biomedical Text Mining and Ontologies (5 papers), Bioinformatics and Genomic Networks (5 papers), Recommender Systems and Techniques (4 papers), Speech and dialogue systems (2 papers), Scientific Computing and Data Management (2 papers), Video Analysis and Summarization (2 papers) and Research Data Management Practices (2 papers). The work is most often cited by research in Information Systems (30 citations), Information Systems and Management (8 citations), Computer Science Applications (5 citations), Artificial Intelligence (18 citations) and Health Information Management (2 citations). Valentin Grouès has collaborated with scholars based in Luxembourg, Germany and United Kingdom. Frequent co-authors include Yannick Naudet, Max Chevalier, Venkata Satagopam, Odej Kao, Paul P. Jung, Yohan Jarosz, Reinhard Schneider, Wei Gu, Regina Becker and Enrico Glaab. Their work appears in journals such as GigaScience, Environmental Science & Technology Letters, Scientific Data, JAMIA Open and SHILAP Revista de lepidopterología.
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.