Vincent Cockenpot

49 total papers · 649 total citations
14 papers, 83 citations indexed

About

Vincent Cockenpot is a scholar working on Radiology, Nuclear Medicine and Imaging, Molecular Biology and Cancer Research. According to data from OpenAlex, Vincent Cockenpot has authored 14 papers receiving a total of 83 indexed citations (citations by other indexed papers that have themselves been cited), including 5 papers in Radiology, Nuclear Medicine and Imaging, 4 papers in Molecular Biology and 4 papers in Cancer Research. Recurrent topics in Vincent Cockenpot's work include Radiomics and Machine Learning in Medical Imaging (2 papers), Breast Lesions and Carcinomas (2 papers) and Cancer Genomics and Diagnostics (2 papers). Vincent Cockenpot is often cited by papers focused on Radiomics and Machine Learning in Medical Imaging (2 papers), Breast Lesions and Carcinomas (2 papers) and Cancer Genomics and Diagnostics (2 papers). Vincent Cockenpot collaborates with scholars based in France, United States and Belgium. Vincent Cockenpot's co-authors include Maéva Kyheng, Zoulika Kherrouche, M.C. Copin, Simon Baldacci, Alexis B. Cortot, David Tulasne, Nathalie Marchand, Elisabeth Werkmeister, Jean‐Yves Pierga and Roxane M. Pommier and has published in prestigious journals such as British Journal of Cancer, The American Journal of Surgical Pathology and European Radiology.

In The Last Decade

Vincent Cockenpot

8 papers receiving 83 citations

Author Peers

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

Author						Papers	Cites
Vincent Cockenpot	30	26	25	24	18	14	83
Athanasia Mitsala	78 2.6×	20 0.8×	102 4.1×	28 1.2×	11 0.6×	11	215
Mario Mileto	38 1.3×	16 0.6×	25 1.0×	4 0.2×	50 2.8×	11	105
Carmelo Gaudioso	17 0.6×	11 0.4×	20 0.8×	8 0.3×	14 0.8×	13	91
Sangwon Shin	41 1.4×	27 1.0×	51 2.0×	17 0.7×	17 0.9×	16	127
Mustafa Nasir-Moin	58 1.9×	12 0.5×	27 1.1×	16 0.7×	12 0.7×	12	110
Jack Zeineh	33 1.1×	13 0.5×	20 0.8×	7 0.3×	20 1.1×	14	102
Birgid Schömig‐Markiefka	85 2.8×	30 1.2×	65 2.6×	16 0.7×	54 3.0×	17	220
Karen He	13 0.4×	82 3.2×	17 0.7×	8 0.3×	46 2.6×	12	225
Leonor Cerdá-Alberich	52 1.7×	11 0.4×	20 0.8×	19 0.8×	10 0.6×	12	87
Guillermo Yanowsky Reyes	7 0.2×	9 0.3×	45 1.8×	16 0.7×	21 1.2×	12	97

Countries citing papers authored by Vincent Cockenpot

Since Specialization

Citations

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

Fields of papers citing papers by Vincent Cockenpot

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Vincent Cockenpot

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