Tristan Glatard

7.2k citations
76 papers · 1.5k indexed · 1 hit paper · h-index 20

Tristan Glatard

72 papers receiving 1.5k citations

Hit Papers

Best practices in data analysis and sharing in neuroimagi...4122017202620202023100200300400

Peers

Tristan Glatard
Comparison fields: 5 of 143
  • Information Systems and Management 303
  • Cognitive Neuroscience 572
  • Radiology, Nuclear Medicine and Imaging 380
  • Computer Networks and Communications 334
  • Biophysics 57
Replace Jacqueline Chen with:
Jacqueline Chen United States
Galip Aydın Türkiye
Felix Bießmann Germany
Mohammad I. Daoud Jordan
Tara Madhyastha United States
Jianhui Chen China
Philip Morrow United Kingdom
Thomas Kirste Germany
Oluwasanmi Koyejo United States
Felix Putze Germany
Tristan Glatard relative to Jacqueline Chen United States Jacqueline Chen's profile →
Citations per field
00.5×4.3×
Jacqueline Chen · 1×
Citations per year

Countries citing papers authored by Tristan Glatard

Since Specialization
Citations

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

Fields of papers citing papers by Tristan Glatard

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network

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

All Works

20 of 20 papers shown
#Work
1 20250
2 20252
3 20241
4 20242
5 20242
6 20231
7 20222
8 20218
9 20211
10 202138
11 20215
12 20203
13 201936
14
Best practices in data analysis and sharing in neuroimaging using MRIbreakdown →
2017412
15 201633
16 201579
17 201420
18 201265
19 20101
20 200614

About Tristan Glatard

Tristan Glatard is a scholar working on Information Systems and Management, Computer Networks and Communications and Hardware and Architecture, having authored 76 papers that have together received 1.5k indexed citations. Recurring topics across this work include Distributed and Parallel Computing Systems (29 papers), Scientific Computing and Data Management (28 papers), Functional Brain Connectivity Studies (24 papers), Advanced MRI Techniques and Applications (13 papers), Parallel Computing and Optimization Techniques (9 papers), Medical Imaging Techniques and Applications (8 papers), Advanced Neuroimaging Techniques and Applications (8 papers) and Advanced Data Storage Technologies (7 papers). The work is most often cited by research in Information Systems and Management (303 citations), Cognitive Neuroscience (572 citations) and Radiology, Nuclear Medicine and Imaging (380 citations). Tristan Glatard has collaborated with scholars based in Canada, France and United States. Frequent co-authors include Alan C. Evans, Johan Montagnat, Samir Das, Diane Lingrand, Xavier Pennec, Jean‐Baptiste Poline, Thomas E. Nichols, Michael P. Milham, Tonya White and Michael Hanke. Their work appears in journals such as Future Generation Computer Systems, PLoS ONE, Frontiers in Neuroinformatics, Journal of Grid Computing and NeuroImage.

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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