Marc Vincent

1.1k citations
48 papers · 636 · h-index 11

Impact in

Papers in

    • Biomedical Text Mining and Ontologies 4
    • Metabolomics and Mass Spectrometry Studies 2
    • Topic Modeling 4
    • Natural Language Processing Techniques 3
    • Sentiment Analysis and Opinion Mining 3

Marc Vincent

37 papers receiving 591 citations

Peers

Marc Vincent
Comparison fields: 5 of 100
  • Pulmonary and Respiratory Medicine 156
  • Hematology 42
  • Oncology 93
  • Biochemistry 20
  • Radiology, Nuclear Medicine and Imaging 70
Replace Rolf Schauer with:
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Marc Vincent relative to Rolf Schauer Germany Rolf Schauer's profile →
Citations per field
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Citations per year

Countries citing papers authored by Marc Vincent

Since Specialization
Citations

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

Fields of papers citing papers by Marc Vincent

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Marc Vincent, 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 Vincent Line = papers co-authored together Marc Vincent links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 48 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2012177
2 199682
3 201962
4 201659
5 199538
6 201434
7 200817
8 201014
9 201914
10 195914
11 201513
12
[Underw eight in the African premature from the public health viewpoint].
196210
13 20198
14 20228
15 20248
16 20128
17 20077
18 20227
19 20196
20 20226

About Marc Vincent

Marc Vincent is a scholar working on Molecular Biology, Artificial Intelligence, Pulmonary and Respiratory Medicine, Oncology and Genetics, having authored 48 papers that have together received 636 indexed citations. Recurring topics across this work include Topic Modeling (4 papers), Biomedical Text Mining and Ontologies (4 papers), Natural Language Processing Techniques (3 papers), Colorectal Cancer Treatments and Studies (3 papers), Genomics and Rare Diseases (3 papers), Sentiment Analysis and Opinion Mining (3 papers), Ophthalmology and Visual Impairment Studies (2 papers) and Metabolomics and Mass Spectrometry Studies (2 papers). The work is most often cited by research in Pulmonary and Respiratory Medicine (156 citations), Hematology (42 citations), Oncology (93 citations), Biochemistry (20 citations) and Radiology, Nuclear Medicine and Imaging (70 citations). Marc Vincent has collaborated with scholars based in France, United States and Belgium. Frequent co-authors include Jorge J. Castillo, Eddy Van Schuerbeeck, Bernard De Bruyne, Ana Clara Tude Rodrigues, Stanislas U. Sys, Thomas H. Marwick, Jozef Bartúnek, Raffaella Palumbo, Nicolas Garcelon and Anita Burgun. Their work appears in journals such as Journal of Clinical Oncology, Orphanet Journal of Rare Diseases, Optometry and Vision Science, European Journal of Cancer Prevention and The Oncologist.

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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