Philippe Gervais

5.0k citations
37 papers · 2.5k indexed · 2 hit papers · h-index 17
Topics
Medical Imaging Techniques and Applications (8 papers)Alzheimer's disease research and treatments (7 papers)Advanced MRI Techniques and Applications (7 papers)

In The Last Decade

Philippe Gervais

32 papers receiving 2.5k citations

Hit Papers

Machine learning for neuroimaging with scikit-learn2014202620182022201420164008001.2k

Peers

Philippe Gervais
Comparison fields: 5 of 185
  • Cognitive Neuroscience 851
  • Radiology, Nuclear Medicine and Imaging 544
  • Neurology 408
  • Physiology 380
  • Molecular Biology 332
Replace Paolo Bosco with:
Paolo Bosco Italy
Matthan W.A. Caan Netherlands
David B. Keator United States
Mohamed Akil France
Simon Duchesne Canada
Carlo Cavaliere Italy
Dallas P. Veitch United States
Édouard Duchesnay France
Alessandra Bertoldo Italy
Stefan Förster Germany
Philippe Gervais relative to Paolo Bosco Italy Paolo Bosco's profile →
Citations per field
00.5×3.5×
Paolo Bosco · 1×
Citations per year

Countries citing papers authored by Philippe Gervais

Since Specialization
Citations

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

Fields of papers citing papers by Philippe Gervais

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Philippe Gervais

This figure shows the co-authorship network connecting the top 25 collaborators of Philippe Gervais. A scholar is included among the top collaborators of Philippe Gervais 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 Philippe Gervais. Philippe Gervais 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 0
2 2
3 8
4 38
5 1
6 40
7 5
8 112
9 9
10 4
11 9
12 50
13 8
14 16
15 60
16
Early and protective microglial activation in Alzheimer’s disease: a prospective study using18F-DPA-714 PET imagingbreakdown →
374
17 7
18 50
19 19
20 18

About Philippe Gervais

Philippe Gervais is a scholar working on Neurology, Psychiatry and Mental health and Radiology, Nuclear Medicine and Imaging, having authored 37 papers that have together received 2.5k indexed citations. Recurring topics across this work include Medical Imaging Techniques and Applications (8 papers), Alzheimer's disease research and treatments (7 papers) and Advanced MRI Techniques and Applications (7 papers). The work is most often cited by research in Neurology (408 citations), Biological Psychiatry (112 citations) and Cognitive Neuroscience (851 citations). Philippe Gervais has collaborated with scholars based in France, United States and Canada. Frequent co-authors include Alexandre Gramfort, Alexandre Abraham, Gaël Varoquaux, Fabian Pedregosa, Jean Kossaifi, Michael Eickenberg, Andreas Mueller, Bertrand Thirion, Michel Bottlaender and Marie Sarazin. Their work appears in journals such as Proceedings of the National Academy of Sciences, Brain and Neurology.

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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