Michel Akselrod

401 citations
13 papers · 227 indexed · h-index 6
Topics
EEG and Brain-Computer Interfaces (3 papers)Motor Control and Adaptation (3 papers)Neural dynamics and brain function (2 papers)

In The Last Decade

Michel Akselrod

13 papers receiving 224 citations

Peers

Michel Akselrod
Comparison fields: 5 of 47
  • Cognitive Neuroscience 133
  • Biomedical Engineering 68
  • Cellular and Molecular Neuroscience 52
  • Neurology 33
  • Social Psychology 27
Replace Laura Alice Santos de Oliveira with:
Laura Alice Santos de Oliveira Brazil
Sanne Kikkert Switzerland
Natalija Katic Switzerland
Bethel Osuagwu United Kingdom
Arne Knutzen Germany
Paulina Kieliba United Kingdom
Kazumi Iseki Japan
Annette Stolle Germany
Rohan Puri Australia
Breanne Christie United States
Michel Akselrod relative to Laura Alice Santos de Oliveira Brazil Laura Alice Santos de Oliveira's profile →
Citations per field
00.5×1.7×
Laura Alice Santos de Oliveira · 1×
Citations per year

Countries citing papers authored by Michel Akselrod

Since Specialization
Citations

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

Fields of papers citing papers by Michel Akselrod

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Michel Akselrod

This figure shows the co-authorship network connecting the top 25 collaborators of Michel Akselrod. A scholar is included among the top collaborators of Michel Akselrod 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 Michel Akselrod. Michel Akselrod is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

13 of 13 papers shown
#WorkIndexed citations
1 1
2 3
3 13
4 3
5 3
6 4
7 40
8 1
9 56
10 13
11 77
12 3
13 10

About Michel Akselrod

Michel Akselrod is a scholar working on Cognitive Neuroscience, Developmental Biology and Neurology, having authored 13 papers that have together received 227 indexed citations. Recurring topics across this work include EEG and Brain-Computer Interfaces (3 papers), Motor Control and Adaptation (3 papers) and Neural dynamics and brain function (2 papers). The work is most often cited by research in Cognitive Neuroscience (133 citations), Anesthesiology and Pain Medicine (27 citations) and Neurology (33 citations). Michel Akselrod has collaborated with scholars based in Switzerland, Italy and United States. Frequent co-authors include Andrea Serino, Olaf Blanke, Wietske van der Zwaag, Roberto Martuzzi, Roger Gassert, Roy Salomon, François Lüthi, Maria Laura Blefari, Todd Kuiken and Giulio Rognini. Their work appears in journals such as Nature Communications, Journal of Neuroscience and Nature Neuroscience.

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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