Philippe Tarroux

1.3k citations
38 papers · 959 · h-index 16

Impact in

Papers in

Philippe Tarroux

37 papers receiving 919 citations

Peers

Philippe Tarroux
Comparison fields: 5 of 141
  • Spectroscopy 137
  • Developmental Biology 16
  • Molecular Biology 458
  • Computer Vision and Pattern Recognition 128
  • Insect Science 66
Replace Phasit Charoenkwan with:
Phasit Charoenkwan Thailand
Mike Tyka United States
Søren Kaae Sønderby Denmark
Petri Törönen Finland
Yu Shi Australia
Louxin Zhang Singapore
Tom Pfeifer Canada
Kengo Sato Japan
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Amarda Shehu United States
Philippe Tarroux relative to Phasit Charoenkwan Thailand Phasit Charoenkwan's profile →
Citations per field
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Phasit Charoenkwan · 1×
Citations per year

Countries citing papers authored by Philippe Tarroux

Since Specialization
Citations

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

Fields of papers citing papers by Philippe Tarroux

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 38 papers — load more, or switch the sort, to bring in the rest.

#Work
1 1988263
2 199884
3
Deficiency in the catalase activity of xeroderma pigmentosum cell and simian virus 40-transformed human cell extracts.
198663
4 199260
5 201058
6 197551
7 198749
8 199446
9 198339
10 198725
11 198624
12 200622
13 201321
14 197617
15 198815
16 199115
17 198513
18 198612
19 198711
20 197510

About Philippe Tarroux

Philippe Tarroux is a scholar working on Molecular Biology, Artificial Intelligence, Spectroscopy, Computer Networks and Communications and Ecology, having authored 38 papers that have together received 959 indexed citations. Recurring topics across this work include Advanced Proteomics Techniques and Applications (6 papers), Constraint Satisfaction and Optimization (4 papers), Gene expression and cancer classification (4 papers), Data Management and Algorithms (3 papers), Carcinogens and Genotoxicity Assessment (3 papers), RNA and protein synthesis mechanisms (3 papers), Image Retrieval and Classification Techniques (3 papers) and Genetics, Bioinformatics, and Biomedical Research (3 papers). The work is most often cited by research in Spectroscopy (137 citations), Developmental Biology (16 citations), Molecular Biology (458 citations), Computer Vision and Pattern Recognition (128 citations) and Insect Science (66 citations). Philippe Tarroux has collaborated with scholars based in France, Burundi and United States. Frequent co-authors include Thierry Rabilloud, Gilles Carpentier, Philippe Andrey, Pierre Vincens, Monique Vuillaume, Alain Sarasin, Régis Calvayrac, René Lafont, Bernard Mauchamp and Y Decroix. Their work appears in journals such as Electrophoresis, FEBS Letters, Journal of Chromatography A, Memory & Cognition and Frontiers in Neurorobotics.

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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