Nicolas Loménie

870 total citations
29 papers, 474 citations indexed

About

Nicolas Loménie is a scholar working on Computer Vision and Pattern Recognition, Artificial Intelligence and Biophysics. According to data from OpenAlex, Nicolas Loménie has authored 29 papers receiving a total of 474 indexed citations (citations by other indexed papers that have themselves been cited), including 13 papers in Computer Vision and Pattern Recognition, 11 papers in Artificial Intelligence and 6 papers in Biophysics. Recurrent topics in Nicolas Loménie's work include AI in cancer detection (9 papers), Image Retrieval and Classification Techniques (7 papers) and Cell Image Analysis Techniques (6 papers). Nicolas Loménie is often cited by papers focused on AI in cancer detection (9 papers), Image Retrieval and Classification Techniques (7 papers) and Cell Image Analysis Techniques (6 papers). Nicolas Loménie collaborates with scholars based in France, Singapore and Belgium. Nicolas Loménie's co-authors include Daniel Racoceanu, Humayun Irshad, Antoine Veillard, Zhaohui Huang, Georges Stamon, Julien Caldéraro, Maria Chiara Maiuri, Christophe Klein, Qinghe Zeng and Güray Erus and has published in prestigious journals such as Journal of Hepatology, Annals of Oncology and British Journal of Pharmacology.

In The Last Decade

Nicolas Loménie

26 papers receiving 454 citations

Peers

Nicolas Loménie
Comparison fields: 5 of 77
  • Artificial Intelligence 303
  • Computer Vision and Pattern Recognition 203
  • Radiology, Nuclear Medicine and Imaging 169
  • Biophysics 92
  • Molecular Biology 55
Replace Xianling Hu with:
Xianling Hu China
David Tellez Netherlands
Nick Weiss Germany
Tokiya Abe Japan
John‐Melle Bokhorst Netherlands
Chengkuan Chen United States
Jinzheng Cai United States
Péter Bándi Netherlands
Ruchika Verma United States
Mane Williams United States
Xianling Hu China View profile →
Citations per field, relative to Nicolas Loménie
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Citations per year, relative to Nicolas Loménie
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Countries citing papers authored by Nicolas Loménie

Since Specialization
Citations

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

Fields of papers citing papers by Nicolas Loménie

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Nicolas Loménie

This figure shows the co-authorship network connecting the top 25 collaborators of Nicolas Loménie. A scholar is included among the top collaborators of Nicolas Loménie 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 Nicolas Loménie. Nicolas Loménie is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
# Work Indexed citations
1 0
2 1
3 1
4 72
5 1
6 1
7 1
8 14
9 1
10 217
11 3
12 1
13 46
14 10
15 2
16 6
17 12
18
An automatic system for the analysis of intercellular communication and early carcinogenesis.
1
19 19
20 5

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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