Jean‐Michel Badier

4.4k citations
73 papers · 3.3k indexed · 2 hit papers · h-index 27
Topics
EEG and Brain-Computer Interfaces (46 papers)Neural dynamics and brain function (27 papers)Functional Brain Connectivity Studies (27 papers)
Partner nations
FranceUnited StatesItaly

In The Last Decade

Jean‐Michel Badier

72 papers receiving 3.2k citations

Hit Papers

High-performance transistors...199420262004201520151994100200300400500

Peers

Jean‐Michel Badier
Comparison fields: 5 of 118
  • Cognitive Neuroscience 2.0k
  • Polymers and Plastics 856
  • Electrical and Electronic Engineering 698
  • Biomedical Engineering 645
  • Cellular and Molecular Neuroscience 559
Replace Christian Bénar with:
Christian Bénar France
Werner Doyle United States
Thomas Thesen United States
Dong Pyo Jang South Korea
J.F. Hetke United States
Kyle E. Mathewson Canada
Kendall H. Lee United States
Timothy H. Lucas United States
Blaise Yvert France
Kensall D. Wise United States
Jean‐Michel Badier relative to Christian Bénar France Christian Bénar's profile →
Citations per field
00.5×1.5×
Christian Bénar · 1×
Citations per year

Countries citing papers authored by Jean‐Michel Badier

Since Specialization
Citations

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

Fields of papers citing papers by Jean‐Michel Badier

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Jean‐Michel Badier. 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 Jean‐Michel Badier. The network helps show where Jean‐Michel Badier may publish in the future.

Co-authorship network of co-authors of Jean‐Michel Badier

This figure shows the co-authorship network connecting the top 25 collaborators of Jean‐Michel Badier. A scholar is included among the top collaborators of Jean‐Michel Badier 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 Jean‐Michel Badier. Jean‐Michel Badier 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 4
3 5
4 16
5 14
6 6
7 151
8 11
9 15
10 115
11 15
12 15
13 63
14 19
15 36
16 97
17 49
18 2
19 2
20 67

About Jean‐Michel Badier

Jean‐Michel Badier is a scholar working on Cognitive Neuroscience, Signal Processing and Psychiatry and Mental health, having authored 73 papers that have together received 3.3k indexed citations. Recurring topics across this work include EEG and Brain-Computer Interfaces (46 papers), Neural dynamics and brain function (27 papers) and Functional Brain Connectivity Studies (27 papers). The work is most often cited by research in Cognitive Neuroscience (2.0k citations), Polymers and Plastics (856 citations) and Bioengineering (229 citations). Jean‐Michel Badier has collaborated with scholars based in France, United States and Italy. Frequent co-authors include Patrick Chauvel, Christian Bénar, Patrick Marquis, Catherine Liégeois‐Chauvel, George G. Malliaras, Fabrice Bartoloméi, Antonino Musolino, P. Leleux, Martine Gavaret and Fabrice Wendling. Their work appears in journals such as Nature Communications, Journal of Neuroscience 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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