Céline Rouveirol

86 total papers · 1.5k total citations
28 papers, 476 citations indexed

About

Céline Rouveirol is a scholar working on Artificial Intelligence, Molecular Biology and Computational Theory and Mathematics. According to data from OpenAlex, Céline Rouveirol has authored 28 papers receiving a total of 476 indexed citations (citations by other indexed papers that have themselves been cited), including 13 papers in Artificial Intelligence, 10 papers in Molecular Biology and 6 papers in Computational Theory and Mathematics. Recurrent topics in Céline Rouveirol's work include Bioinformatics and Genomic Networks (7 papers), Gene expression and cancer classification (7 papers) and Logic, Reasoning, and Knowledge (6 papers). Céline Rouveirol is often cited by papers focused on Bioinformatics and Genomic Networks (7 papers), Gene expression and cancer classification (7 papers) and Logic, Reasoning, and Knowledge (6 papers). Céline Rouveirol collaborates with scholars based in France, Japan and Italy. Céline Rouveirol's co-authors include Claire Nédellec, Rushed Kanawati, Mohamed Elati, François Radvanyi, Emmanuel Barillot, Philippe Hupé, Eric Viara, Nicolas Stransky, Michèle Sébag and Monique Bolotin‐Fukuhara and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Bioinformatics and Machine Learning.

In The Last Decade

Céline Rouveirol

27 papers receiving 453 citations

Author Peers

Peers are selected by citation overlap in the author's most active subfields. citations · hero ref

Author						Papers	Cites
Céline Rouveirol	261	151	94	88	56	28	476
Ayush Singhal	159 0.6×	147 1.0×	74 0.8×	20 0.2×	23 0.4×	22	452
Jian Xu	144 0.6×	129 0.9×	128 1.4×	50 0.6×	16 0.3×	38	470
J. Y. Shi	208 0.8×	91 0.6×	85 0.9×	113 1.3×	12 0.2×	39	476
Ricardo J. G. B. Campello	203 0.8×	190 1.3×	93 1.0×	33 0.4×	19 0.3×	15	469
Yuting Jia	176 0.7×	123 0.8×	46 0.5×	92 1.0×	7 0.1×	29	409
Gregor Leban	158 0.6×	134 0.9×	71 0.8×	32 0.4×	22 0.4×	20	435
Prabhanjan Kambadur	98 0.4×	101 0.7×	119 1.3×	22 0.3×	20 0.4×	19	448
Guimin Qin	105 0.4×	196 1.3×	16 0.2×	103 1.2×	36 0.6×	33	421
Pablo Andretta Jaskowiak	233 0.9×	171 1.1×	56 0.6×	24 0.3×	25 0.4×	17	510
Mark V. Culp	143 0.5×	111 0.7×	146 1.6×	14 0.2×	20 0.4×	25	506

Countries citing papers authored by Céline Rouveirol

Since Specialization

Citations

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

Fields of papers citing papers by Céline Rouveirol

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Céline Rouveirol

This figure shows the co-authorship network connecting the top 25 collaborators of Céline Rouveirol. A scholar is included among the top collaborators of Céline Rouveirol based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Céline Rouveirol. Céline Rouveirol is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

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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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