É. de Kerviler

5.2k citations
150 papers · 3.3k · h-index 32

Impact in

Papers in

É. de Kerviler

140 papers receiving 3.2k citations

Peers

É. de Kerviler
Comparison fields: 5 of 139
  • Pathology and Forensic Medicine 619
  • Radiology, Nuclear Medicine and Imaging 500
  • Neurology 319
  • Microbiology 16
  • Genetics 213
Replace Chi Chiu Mok with:
Chi Chiu Mok China
William A. Baumgartner United States
Annalisa Angelini Italy
Norman B. Ratliff United States
Jack L. Titus United States
Christopher G.A. McGregor United States
Hojoong Kim South Korea
Camille Françès France
Yoh Watanabe Japan
Joseph J. Maleszewski United States
É. de Kerviler relative to Chi Chiu Mok China Chi Chiu Mok's profile →
Citations per field
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Chi Chiu Mok · 1×
Citations per year

Countries citing papers authored by É. de Kerviler

Since Specialization
Citations

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

Fields of papers citing papers by É. de Kerviler

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by É. de Kerviler. 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 É. de Kerviler. The network helps show where É. de Kerviler may publish in the future.

Co-authors

The 25 scholars most cited alongside É. de Kerviler, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with É. de Kerviler Line = papers co-authored together É. de Kerviler links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 150 papers — load more, or switch the sort, to bring in the rest.

#Work
1 1997276
2 2001191
3 2015108
4 2009104
5 2010100
6 201099
7 200994
8 200291
9 199984
10 201383
11 201176
12 199771
13 199869
14 200464
15 199461
16 199156
17 200055
18 200753
19 200053
20 200652

About É. de Kerviler

É. de Kerviler is a scholar working on Pulmonary and Respiratory Medicine, Pathology and Forensic Medicine, Radiology, Nuclear Medicine and Imaging, Oncology and Surgery, having authored 150 papers that have together received 3.3k indexed citations. Recurring topics across this work include Lymphoma Diagnosis and Treatment (18 papers), Radiomics and Machine Learning in Medical Imaging (15 papers), MRI in cancer diagnosis (13 papers), Renal cell carcinoma treatment (11 papers), Medical Imaging and Pathology Studies (9 papers), Lung Cancer Diagnosis and Treatment (9 papers), Advanced MRI Techniques and Applications (8 papers) and Breast Lesions and Carcinomas (7 papers). The work is most often cited by research in Pathology and Forensic Medicine (619 citations), Radiology, Nuclear Medicine and Imaging (500 citations), Neurology (319 citations), Microbiology (16 citations) and Genetics (213 citations). É. de Kerviler has collaborated with scholars based in France, United States and Switzerland. Frequent co-authors include J Frija, Ali Guermazi, C. de Bazelaire, A.X. Bigard, Josette Brière, G Cathelineau, Pauline Brice, Jean–François Gautier, Charles Yannick Guézennec and Anne–Marie Zagdanski. Their work appears in journals such as Diagnostic and Interventional Imaging, European Radiology, Blood, CardioVascular and Interventional Radiology and Journal of Clinical Oncology.

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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