Benoît Plancoulaine

72 total papers · 800 total citations
40 papers, 594 citations indexed

About

Benoît Plancoulaine is a scholar working on Artificial Intelligence, Molecular Biology and Cancer Research. According to data from OpenAlex, Benoît Plancoulaine has authored 40 papers receiving a total of 594 indexed citations (citations by other indexed papers that have themselves been cited), including 20 papers in Artificial Intelligence, 16 papers in Molecular Biology and 15 papers in Cancer Research. Recurrent topics in Benoît Plancoulaine's work include AI in cancer detection (20 papers), Radiomics and Machine Learning in Medical Imaging (13 papers) and Cell Image Analysis Techniques (11 papers). Benoît Plancoulaine is often cited by papers focused on AI in cancer detection (20 papers), Radiomics and Machine Learning in Medical Imaging (13 papers) and Cell Image Analysis Techniques (11 papers). Benoît Plancoulaine collaborates with scholars based in France, Lithuania and United Kingdom. Benoît Plancoulaine's co-authors include Paulette Herlin, Arvydas Laurinavičius, Aida Laurinavičienė, Nicolas Elie, Justinas Besusparis, Darius Dasevičius, Raimundas Meškauskas, Ian O. Ellis, Allan G. Rasmusson and Andrew R. Green and has published in prestigious journals such as SHILAP Revista de lepidopterología, Scientific Reports and American Journal Of Pathology.

In The Last Decade

Benoît Plancoulaine

39 papers receiving 585 citations

Author Peers

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

Author						Papers	Cites
Benoît Plancoulaine	217	183	174	166	143	40	594
Janusz Szymaś	203 0.9×	103 0.6×	120 0.7×	116 0.7×	210 1.5×	48	690
Richard Berendt	159 0.7×	217 1.2×	117 0.7×	89 0.5×	131 0.9×	27	544
J Holmquist	145 0.7×	189 1.0×	158 0.9×	88 0.5×	160 1.1×	17	570
Indu Arun	150 0.7×	228 1.2×	154 0.9×	134 0.8×	112 0.8×	51	586
James M. Dolezal	221 1.0×	111 0.6×	192 1.1×	169 1.0×	269 1.9×	29	668
Matthew P. Humphries	78 0.4×	236 1.3×	119 0.7×	89 0.5×	173 1.2×	30	571
Jerome Cheng	300 1.4×	99 0.5×	58 0.3×	181 1.1×	115 0.8×	49	613
Darius Dasevičius	133 0.6×	112 0.6×	123 0.7×	105 0.6×	210 1.5×	28	544
Nicole B. Johnson	112 0.5×	81 0.4×	93 0.5×	107 0.6×	139 1.0×	27	576
Qitao Huang	225 1.0×	164 0.9×	152 0.9×	201 1.2×	168 1.2×	25	604

Countries citing papers authored by Benoît Plancoulaine

Since Specialization

Citations

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

Fields of papers citing papers by Benoît Plancoulaine

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Benoît Plancoulaine

This figure shows the co-authorship network connecting the top 25 collaborators of Benoît Plancoulaine. A scholar is included among the top collaborators of Benoît Plancoulaine 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 Benoît Plancoulaine. Benoît Plancoulaine 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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