Nicolas Elie

1.2k citations
52 papers · 751 indexed · h-index 15
Topics
AI in cancer detection (7 papers)Radiomics and Machine Learning in Medical Imaging (6 papers)Cell Image Analysis Techniques (5 papers)
Journals
SHILAP Revista de lepidopterologíaPLoS ONEThe Science of The Total Environment

In The Last Decade

Nicolas Elie

48 papers receiving 739 citations

Peers

Nicolas Elie
Comparison fields: 5 of 102
  • Molecular Biology 259
  • Radiology, Nuclear Medicine and Imaging 186
  • Oncology 166
  • Cancer Research 142
  • Artificial Intelligence 122
Replace Victoria Bingham with:
Victoria Bingham United Kingdom
P. Gais Germany
Benjamin C. Calhoun United States
Evelina Sjöstedt Sweden
Uta Jütting Germany
Christina Adler United States
Irina Klaman Germany
Michiel van den Brand Netherlands
Jaine K. Blayney United Kingdom
Michael J. Gerdes United States
Nicolas Elie relative to Victoria Bingham United Kingdom Victoria Bingham's profile →
Citations per field
00.5×1.5×2.2×
Victoria Bingham · 1×
Citations per year

Countries citing papers authored by Nicolas Elie

Since Specialization
Citations

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

Fields of papers citing papers by Nicolas Elie

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Nicolas Elie

This figure shows the co-authorship network connecting the top 25 collaborators of Nicolas Elie. A scholar is included among the top collaborators of Nicolas Elie 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 Elie. Nicolas Elie 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
#WorkIndexed citations
1 2
2 1
3 1
4 2
5 1
6 8
7 5
8 0
9 1
10 1
11 29
12 13
13 10
14 30
15 3
16 80
17 58
18 73
19 40
20 18

About Nicolas Elie

Nicolas Elie is a scholar working on Biophysics, Cancer Research and Physiology, having authored 52 papers that have together received 751 indexed citations. Recurring topics across this work include AI in cancer detection (7 papers), Radiomics and Machine Learning in Medical Imaging (6 papers) and Cell Image Analysis Techniques (5 papers). The work is most often cited by research in Cancer Research (142 citations), Biophysics (52 citations) and Radiology, Nuclear Medicine and Imaging (186 citations). Nicolas Elie has collaborated with scholars based in France, Lithuania and Luxembourg. Frequent co-authors include Paulette Herlin, Benoît Plancoulaine, Arvydas Laurinavičius, Aida Laurinavičienė, Darius Dasevičius, P. Péronneau, Nathalie Lassau, Pascal Gauduchon, Natacha Heutte and Jacques Chasle. Their work appears in journals such as SHILAP Revista de lepidopterología, PLoS ONE and The Science of The Total Environment.

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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