Vincent Cockenpot

670 citations
14 papers · 84 indexed · h-index 6
Topics
Radiomics and Machine Learning in Medical Imaging (2 papers)Medical Imaging Techniques and Applications (2 papers)Cancer therapeutics and mechanisms (2 papers)

In The Last Decade

Vincent Cockenpot

8 papers receiving 84 citations

Peers

Vincent Cockenpot
Comparison fields: 5 of 25
  • Radiology, Nuclear Medicine and Imaging 30
  • Molecular Biology 28
  • Oncology 25
  • Health Informatics 24
  • Cancer Research 18
Replace Rui‐Zhao Dong with:
Rui‐Zhao Dong China
Mara Mardare Romania
Fang-I Lu Canada
Sangwon Shin South Korea
Mustafa Nasir-Moin United States
Mario Mileto Italy
Zhen‐Bin Qiu China
Runyu Hong United States
Guillermo Yanowsky Reyes Mexico
Axel Gräwingholt Germany
Vincent Cockenpot relative to Rui‐Zhao Dong China Rui‐Zhao Dong's profile →
Citations per field
00.5×3.8×
Rui‐Zhao Dong · 1×
Citations per year

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

14 of 14 papers shown
#WorkIndexed citations
1 0
2 0
3 0
4 25
5 1
6 10
7 11
8 0
9 0
10 0
11 5
12 1
13 26
14 5

About Vincent Cockenpot

Vincent Cockenpot is a scholar working on Health Informatics, Family Practice and Cancer Research, having authored 14 papers that have together received 84 indexed citations. Recurring topics across this work include Radiomics and Machine Learning in Medical Imaging (2 papers), Medical Imaging Techniques and Applications (2 papers) and Cancer therapeutics and mechanisms (2 papers). The work is most often cited by research in Health Informatics (24 citations), Radiology, Nuclear Medicine and Imaging (30 citations) and Cancer Research (18 citations). Vincent Cockenpot has collaborated with scholars based in France, United States and Belgium. Frequent co-authors include David Tulasne, Nathalie Marchand, Simon Baldacci, Maéva Kyheng, M.C. Copin, Zoulika Kherrouche, Elisabeth Werkmeister, Alexis B. Cortot, Christophe Caux and Anne Vincent‐Salomon. Their work appears in journals such as British Journal of Cancer, The American Journal of Surgical Pathology and European Radiology.

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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