Marc Bertin

421 citations
17 papers · 158 · h-index 5

Impact in

Papers in

    • Advanced Text Analysis Techniques 10
    • Topic Modeling 5
    • Semantic Web and Ontologies 5
    • Natural Language Processing Techniques 3
    • Biomedical Text Mining and Ontologies 7

Marc Bertin

14 papers receiving 149 citations

Peers

Marc Bertin
Comparison fields: 5 of 36
  • Statistics, Probability and Uncertainty 65
  • Information Systems and Management 22
  • History and Philosophy of Science 15
  • Artificial Intelligence 83
  • Information Systems 37
Replace Iana Atanassova with:
Iana Atanassova France
Go Eun Heo South Korea
Sadamori Kojaku United States
Charles Jochim Ireland
Patricia Feeney Netherlands
Dongwook Shin United States
Frank Scholze Germany
Harihar Shankar United States
Christophe Roeder United States
Muthu Kumar Chandrasekaran Singapore
Marc Bertin relative to Iana Atanassova France Iana Atanassova's profile →
Citations per field
00.5×1.5×
Iana Atanassova · 1×
Citations per year

Countries citing papers authored by Marc Bertin

Since Specialization
Citations

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

Fields of papers citing papers by Marc Bertin

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Marc Bertin. 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 Marc Bertin. The network helps show where Marc Bertin may publish in the future.

Co-authors

The 4 scholars most cited alongside Marc Bertin, 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 Marc Bertin Line = papers co-authored together Marc Bertin links everyone, so they are left out of the graph.

All Works

17 of 17 papers shown
#Work
1 201564
2 201631
3 201627
4 201210
5 20154
6 20144
7 20174
8 20224
9 20242
10 20142
11
Multiple In-text Reference Aggregation Phenomenon.
20162
12 20162
13 20201
14
Identifying the Conceptual Space of Citation Contexts using Coreferences.
20191
15 20250
16 20190
17 20230

About Marc Bertin

Marc Bertin is a scholar working on Artificial Intelligence, Molecular Biology, Information Systems, Sociology and Political Science and Statistical and Nonlinear Physics, having authored 17 papers that have together received 158 indexed citations. Recurring topics across this work include Advanced Text Analysis Techniques (10 papers), Biomedical Text Mining and Ontologies (7 papers), Topic Modeling (5 papers), Semantic Web and Ontologies (5 papers), Natural Language Processing Techniques (3 papers), Software Engineering Research (2 papers), Complex Network Analysis Techniques (2 papers) and scientometrics and bibliometrics research (2 papers). The work is most often cited by research in Statistics, Probability and Uncertainty (65 citations), Information Systems and Management (22 citations), History and Philosophy of Science (15 citations), Artificial Intelligence (83 citations) and Information Systems (37 citations). Marc Bertin has collaborated with scholars based in France, Canada and Italy. Frequent co-authors include Iana Atanassova, Vincent Larivière, Yves Gingras and Cassidy R. Sugimoto. Their work appears in journals such as Scientometrics, D-Lib Magazine, International Journal on Digital Libraries, Quantitative Science Studies and Journal of Informetrics.

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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