Valentin Grouès

691 citations
17 papers · 60 · h-index 5

Impact in

Papers in

    • Semantic Web and Ontologies 5
    • Speech and dialogue systems 2
    • Sentiment Analysis and Opinion Mining 1
    • Biomedical Text Mining and Ontologies 5
    • Bioinformatics and Genomic Networks 3

Valentin Grouès

13 papers receiving 54 citations

Peers

Valentin Grouès
Comparison fields: 5 of 33
  • Information Systems 32
  • Information Systems and Management 7
  • Computer Science Applications 5
  • Artificial Intelligence 19
  • Health Information Management 2
Replace Ralf Heese with:
Ralf Heese Germany
Zaenal Akbar Indonesia
Wenyue Hua United States
Nimesh Ghelani Canada
Gérard Dupont France
Josef Hardi United States
Omar Almousa Jordan
Lauren Milechin United States
Annette Bieniusa Germany
S. Y. Noh South Korea
Valentin Grouès relative to Ralf Heese Germany Ralf Heese's profile →
Citations per field
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Citations per year

Countries citing papers authored by Valentin Grouès

Since Specialization
Citations

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

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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.

Border = papers with Valentin Grouès Line = papers co-authored together Valentin Grouès links everyone, so they are left out of the graph.

All Works

17 of 17 papers shown
#Work
1 20199
2 20258
3 20148
4 20088
5 20234
6 20114
7 20183
8 20183
9 20193
10 20123
11 20123
12 20222
13
Common vs. Expert knowledge: making the Semantic Web an educational model.
20122
14 20240
15 20230
16 20200
17 20220

About Valentin Grouès

Valentin Grouès is a scholar working on Artificial Intelligence, Molecular Biology, Information Systems, Computer Vision and Pattern Recognition and Industrial and Manufacturing Engineering, having authored 17 papers that have together received 60 indexed citations. Recurring topics across this work include Semantic Web and Ontologies (5 papers), Biomedical Text Mining and Ontologies (5 papers), Recommender Systems and Techniques (4 papers), Bioinformatics and Genomic Networks (3 papers), Research Data Management Practices (2 papers), Speech and dialogue systems (2 papers), Video Analysis and Summarization (2 papers) and Sentiment Analysis and Opinion Mining (1 paper). The work is most often cited by research in Information Systems (32 citations), Information Systems and Management (7 citations), Computer Science Applications (5 citations), Artificial Intelligence (19 citations) and Health Information Management (2 citations). Valentin Grouès has collaborated with scholars based in Luxembourg, Germany and United States. Frequent co-authors include Yannick Naudet, Venkata Satagopam, Reinhard Schneider, Odej Kao, Max Chevalier, Paul Thiessen, Christophe Trefois, Pinar Alper, Sunghwan Kim and Jian Zhang. Their work appears in journals such as GigaScience, Scientific Data, Environmental Science & Technology Letters, JAMIA Open and HAL (Le Centre pour la Communication Scientifique Directe).

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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