Nicolas Schweighofer
- Cognitive Neuroscience top 0.5%
- Neurology top 0.5%
- Rehabilitation top 0.2%
- Biomedical Engineering top 5%
- Social Psychology top 2%
- Co-authors
- Kenji DoyaMichael A. ArbibMitsuo KawatoCheol E. HanCarolee J. WinsteinJeong-Yoon LeeShinya KurodaSaori Tanaka
- Topics
- Motor Control and Adaptation (47 papers)Stroke Rehabilitation and Recovery (38 papers)Muscle activation and electromyography studies (27 papers)
- Journals
- Proceedings of the National Academy of SciencesNature CommunicationsJournal of Neuroscience
- Partner nations
- United StatesJapanFrance
In The Last Decade
Nicolas Schweighofer
110 papers receiving 4.3k citations
Peers
Comparison fields: 5 of 144
- Cognitive Neuroscience 2.6k
- Neurology 960
- Rehabilitation 889
- Biomedical Engineering 812
- Social Psychology 724
Countries citing papers authored by Nicolas Schweighofer
This map shows the geographic impact of Nicolas Schweighofer'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 Nicolas Schweighofer with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Nicolas Schweighofer more than expected).
Fields of papers citing papers by Nicolas Schweighofer
This network shows the impact of papers produced by Nicolas Schweighofer. 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 Nicolas Schweighofer. The network helps show where Nicolas Schweighofer may publish in the future.
Co-authorship network of co-authors of Nicolas Schweighofer
This figure shows the co-authorship network connecting the top 25 collaborators of Nicolas Schweighofer. A scholar is included among the top collaborators of Nicolas Schweighofer 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 Nicolas Schweighofer. Nicolas Schweighofer is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 0 | |
| 2 | 0 | |
| 3 | 0 | |
| 4 | 4 | |
| 5 | 4 | |
| 6 | 11 | |
| 7 | 13 | |
| 8 | 14 | |
| 9 | 3 | |
| 10 | 13 | |
| 11 | 18 | |
| 12 | 25 | |
| 13 | 10 | |
| 14 | 27 | |
| 15 | 1 | |
| 16 | 44 | |
| 17 | 39 | |
| 18 | 45 | |
| 19 | 46 | |
| 20 | 13 |
About Nicolas Schweighofer
Nicolas Schweighofer is a scholar working on Rehabilitation, Cognitive Neuroscience and Neurology, having authored 114 papers that have together received 4.4k indexed citations. Recurring topics across this work include Motor Control and Adaptation (47 papers), Stroke Rehabilitation and Recovery (38 papers) and Muscle activation and electromyography studies (27 papers). The work is most often cited by research in Cognitive Neuroscience (2.6k citations), Rehabilitation (889 citations) and Neurology (960 citations). Nicolas Schweighofer has collaborated with scholars based in United States, Japan and France. Frequent co-authors include Kenji Doya, Michael A. Arbib, Mitsuo Kawato, Cheol E. Han, Carolee J. Winstein, Jeong-Yoon Lee, Shinya Kuroda, Saori Tanaka, Yasumasa Okamoto and Charalambos Papaxanthis. Their work appears in journals such as Proceedings of the National Academy of Sciences, Nature Communications and Journal of 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.