Yannick Bornat

1.0k citations
37 papers · 597 · h-index 13

Impact in

Papers in

Yannick Bornat

34 papers receiving 587 citations

Peers

Yannick Bornat
Comparison fields: 5 of 62
  • Cellular and Molecular Neuroscience 347
  • Cognitive Neuroscience 317
  • Electrical and Electronic Engineering 294
  • Endocrinology, Diabetes and Metabolism 42
  • Biomedical Engineering 116
Replace Mengmeng Du with:
Mengmeng Du China
Unsoo Ha South Korea
Payam A. Saisan United States
Grant R. McMillan United States
Hubin Zhao United Kingdom
Pu-Ming Zhang China
Abed Khorasani Iran
Vignesh Ravichandran United States
Christophe Gardella France
Timoleon Moraitis Switzerland
Yannick Bornat relative to Mengmeng Du China Mengmeng Du's profile →
Citations per field
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Mengmeng Du · 1×
Citations per year

Countries citing papers authored by Yannick Bornat

Since Specialization
Citations

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

Fields of papers citing papers by Yannick Bornat

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 37 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2008106
2 201361
3 201958
4 201047
5 201639
6 201536
7 201130
8 202224
9 200623
10 201122
11 201615
12 201014
13 201714
14 200612
15 200612
16 201311
17 20219
18 20228
19 20188
20 20216

About Yannick Bornat

Yannick Bornat is a scholar working on Cellular and Molecular Neuroscience, Cognitive Neuroscience, Electrical and Electronic Engineering, Biomedical Engineering and Surgery, having authored 37 papers that have together received 597 indexed citations. Recurring topics across this work include Neuroscience and Neural Engineering (23 papers), Neural dynamics and brain function (15 papers), Advanced Memory and Neural Computing (14 papers), EEG and Brain-Computer Interfaces (7 papers), Pancreatic function and diabetes (7 papers), Diabetes Management and Research (5 papers), Muscle activation and electromyography studies (5 papers) and Analog and Mixed-Signal Circuit Design (5 papers). The work is most often cited by research in Cellular and Molecular Neuroscience (347 citations), Cognitive Neuroscience (317 citations), Electrical and Electronic Engineering (294 citations), Endocrinology, Diabetes and Metabolism (42 citations) and Biomedical Engineering (116 citations). Yannick Bornat has collaborated with scholars based in France, Italy and United States. Frequent co-authors include Sylvie Renaud, Jean Tomas, Sylvain Saïghi, Adam Quotb, Timothée Levi, Kilian Imfeld, Sérgio Martinoia, Simon Neukom, Matthieu Raoux and Alessandro Maccione. Their work appears in journals such as Journal of Neural Engineering, IEEE Transactions on Biomedical Engineering, Frontiers in Neuroscience, iScience and Neurocomputing.

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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