Florent Aubry

1.2k citations
35 papers · 869 · h-index 10

Impact in

Papers in

Florent Aubry

34 papers receiving 837 citations

Peers

Florent Aubry
Comparison fields: 5 of 113
  • Radiology, Nuclear Medicine and Imaging 290
  • Psychiatry and Mental health 184
  • Cognitive Neuroscience 255
  • Neurology 64
  • Developmental and Educational Psychology 95
Replace Wenbo Zhang with:
Wenbo Zhang China
Randy Summers Canada
Arvid Lundervold Norway
Ani Eloyan United States
Nieves Vélez de Mendizábal United States
Frank Morales Cuba
Benjamin Kandel United States
Birkan Tunç United States
Demián Wassermann France
Jean‐Christophe Ferré France
Florent Aubry relative to Wenbo Zhang China Wenbo Zhang's profile →
Citations per field
00.5×1.5×2.3×
Wenbo Zhang · 1×
Citations per year

Countries citing papers authored by Florent Aubry

Since Specialization
Citations

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

Fields of papers citing papers by Florent Aubry

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 35 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2009317
2 1982147
3 1982113
4 200991
5 200845
6 201725
7 200717
8 201111
9 201711
10 19999
11 19988
12 19938
13 19967
14 19816
15 19886
16 19855
17 20095
18 19975
19 20084
20 20013

About Florent Aubry

Florent Aubry is a scholar working on Radiology, Nuclear Medicine and Imaging, Artificial Intelligence, Pulmonary and Respiratory Medicine, Computer Networks and Communications and Cognitive Neuroscience, having authored 35 papers that have together received 869 indexed citations. Recurring topics across this work include Medical Imaging Techniques and Applications (6 papers), Radiomics and Machine Learning in Medical Imaging (5 papers), Digital Radiography and Breast Imaging (5 papers), Semantic Web and Ontologies (5 papers), Advanced Neuroimaging Techniques and Applications (4 papers), Scientific Computing and Data Management (3 papers), AI in cancer detection (3 papers) and MRI in cancer diagnosis (2 papers). The work is most often cited by research in Radiology, Nuclear Medicine and Imaging (290 citations), Psychiatry and Mental health (184 citations), Cognitive Neuroscience (255 citations), Neurology (64 citations) and Developmental and Educational Psychology (95 citations). Florent Aubry has collaborated with scholars based in France, United Kingdom and Belgium. Frequent co-authors include Pierre Celsis, Jean‐François Démonet, I. Berry, R. Di Paola, Jérémie Pariente, Jean‐Claude Fort, Michèle Puel, Jean-Albert Lotterie, J. Bazin and A. Aurengo. Their work appears in journals such as European Journal of Nuclear Medicine and Molecular Imaging, NeuroImage, Acta Dermato Venereologica, PLoS ONE and IEEE Transactions on Nuclear Science.

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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