Marc Bertin

416 citations
15 papers · 134 · h-index 4

Impact in

Papers in

    • Advanced Text Analysis Techniques 9
    • Topic Modeling 5
    • Semantic Web and Ontologies 3
    • Natural Language Processing Techniques 2
    • Biomedical Text Mining and Ontologies 5

Marc Bertin

12 papers receiving 129 citations

Peers

Marc Bertin
Comparison fields: 5 of 32
  • Statistics, Probability and Uncertainty 63
  • History and Philosophy of Science 15
  • Information Systems and Management 17
  • Artificial Intelligence 69
  • General Social Sciences 5
Replace Iana Atanassova with:
Iana Atanassova France
Patrice Lopez Germany
Charles Jochim Ireland
Rachael Lammey United Kingdom
Patricia Feeney Netherlands
Harihar Shankar United States
Andrea Mannocci Italy
Christophe Roeder United States
Vicky Reich 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

15 of 15 papers shown
#Work
1 201560
2 201630
3 201621
4 20128
5 20153
6 20222
7 20172
8 20242
9
Multiple In-text Reference Aggregation Phenomenon.
20162
10 20162
11 20201
12
Identifying the Conceptual Space of Citation Contexts using Coreferences.
20191
13 20230
14 20250
15 20190

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 15 papers that have together received 134 indexed citations. Recurring topics across this work include Advanced Text Analysis Techniques (9 papers), Biomedical Text Mining and Ontologies (5 papers), Topic Modeling (5 papers), Semantic Web and Ontologies (3 papers), Complex Network Analysis Techniques (2 papers), Natural Language Processing Techniques (2 papers), Software Engineering Research (2 papers) and scientometrics and bibliometrics research (2 papers). The work is most often cited by research in Statistics, Probability and Uncertainty (63 citations), History and Philosophy of Science (15 citations), Information Systems and Management (17 citations), Artificial Intelligence (69 citations) and General Social Sciences (5 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, Journal of the Association for Information Science and Technology, International Journal on Digital Libraries 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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