Philippe Robin

2.7k citations
100 papers · 2k · h-index 23

Impact in

Papers in

Philippe Robin

89 papers receiving 2k citations

Peers

Philippe Robin
Comparison fields: 5 of 62
  • Internal Medicine 689
  • Radiology, Nuclear Medicine and Imaging 1k
  • Otorhinolaryngology 95
  • Health Informatics 22
  • Radiation 56
Replace Ronan Abgral with:
Ronan Abgral France
Munenobu Nogami Japan
Mona J. Kamal United States
S. Querellou France
Ehab Mohamed Kamel Switzerland
Geoffrey Paul Schembri Australia
Ali Salavati United States
Takeshi Kamitani Japan
Tadaki Nakahara Japan
Vinit Baliyan United States
Philippe Robin relative to Ronan Abgral France Ronan Abgral's profile →
Citations per field
00.5×2×4×5.5×
Ronan Abgral · 1×
Citations per year

Countries citing papers authored by Philippe Robin

Since Specialization
Citations

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

Fields of papers citing papers by Philippe Robin

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Philippe Robin, 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 Philippe Robin Line = papers co-authored together Philippe Robin links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 100 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2017212
2 2018157
3 2020157
4 2017116
5 201591
6 201585
7 201358
8 202150
9 201849
10 201746
11 201342
12 201837
13 201635
14 201531
15 201430
16 201730
17 201930
18 202130
19 201429
20 201828

About Philippe Robin

Philippe Robin is a scholar working on Internal Medicine, Radiology, Nuclear Medicine and Imaging, Otorhinolaryngology, Pulmonary and Respiratory Medicine and Endocrinology, Diabetes and Metabolism, having authored 100 papers that have together received 2k indexed citations. Recurring topics across this work include Venous Thromboembolism Diagnosis and Management (47 papers), Medical Imaging Techniques and Applications (27 papers), Head and Neck Cancer Studies (9 papers), Radiopharmaceutical Chemistry and Applications (8 papers), Radiomics and Machine Learning in Medical Imaging (7 papers), Prostate Cancer Diagnosis and Treatment (5 papers), Medical Image Segmentation Techniques (3 papers) and Pulmonary Hypertension Research and Treatments (3 papers). The work is most often cited by research in Internal Medicine (689 citations), Radiology, Nuclear Medicine and Imaging (1k citations), Otorhinolaryngology (95 citations), Health Informatics (22 citations) and Radiation (56 citations). Philippe Robin has collaborated with scholars based in France, Canada and United States. Frequent co-authors include Pierre‐Yves Salaün, Pierre‐Yves Le Roux, Ulrike Schick, Ronan Abgral, Dimitris Visvikis, Mathieu Hatt, François Lucia, Grégoire Le Gal, Olivier Pradier and David Bourhis. Their work appears in journals such as Thrombosis Research, Frontiers in Medicine, European Journal of Nuclear Medicine and Molecular Imaging, Journal of Thrombosis and Haemostasis and BMJ Open.

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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