M.-C. Hepp-Reymond
- Cognitive Neuroscience top 2%
- Biomedical Engineering top 10%
- Neurology top 5%
- Cellular and Molecular Neuroscience top 10%
- Social Psychology top 5%
- Co-authors
- Marc A. MaierDavid E. CrowleyThierry WannierUrs WyssAnne M. SmithHui‐Xin QiK.M.B. BennettR. N. Lemon
- Topics
- Motor Control and Adaptation (12 papers)Muscle activation and electromyography studies (10 papers)EEG and Brain-Computer Interfaces (8 papers)
- Partner nations
- SwitzerlandUnited StatesBulgaria
In The Last Decade
M.-C. Hepp-Reymond
23 papers receiving 1.3k citations
Peers
Comparison fields: 5 of 88
- Cognitive Neuroscience 1000
- Biomedical Engineering 457
- Neurology 288
- Cellular and Molecular Neuroscience 242
- Social Psychology 208
Countries citing papers authored by M.-C. Hepp-Reymond
This map shows the geographic impact of M.-C. Hepp-Reymond'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 M.-C. Hepp-Reymond with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites M.-C. Hepp-Reymond more than expected).
Fields of papers citing papers by M.-C. Hepp-Reymond
This network shows the impact of papers produced by M.-C. Hepp-Reymond. 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 M.-C. Hepp-Reymond. The network helps show where M.-C. Hepp-Reymond may publish in the future.
Co-authorship network of co-authors of M.-C. Hepp-Reymond
This figure shows the co-authorship network connecting the top 25 collaborators of M.-C. Hepp-Reymond. A scholar is included among the top collaborators of M.-C. Hepp-Reymond 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 M.-C. Hepp-Reymond. M.-C. Hepp-Reymond is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 13 | |
| 2 | 15 | |
| 3 | Reproducibility of primary motor cortex somatotopy under controlled conditions. | 113 |
| 4 | 2 | |
| 5 | 1 | |
| 6 | 1 | |
| 7 | 91 | |
| 8 | 111 | |
| 9 | 107 | |
| 10 | 147 | |
| 11 | 30 | |
| 12 | 30 | |
| 13 | 38 | |
| 14 | 19 | |
| 15 | 50 | |
| 16 | 6 | |
| 17 | 5 | |
| 18 | 19 | |
| 19 | 172 | |
| 20 | 15 |
About M.-C. Hepp-Reymond
M.-C. Hepp-Reymond is a scholar working on Developmental Biology, Cognitive Neuroscience and Developmental Neuroscience, having authored 23 papers that have together received 1.3k indexed citations. Recurring topics across this work include Motor Control and Adaptation (12 papers), Muscle activation and electromyography studies (10 papers) and EEG and Brain-Computer Interfaces (8 papers). The work is most often cited by research in Cognitive Neuroscience (1000 citations), Neurology (288 citations) and Sensory Systems (122 citations). M.-C. Hepp-Reymond has collaborated with scholars based in Switzerland, United States and Bulgaria. Frequent co-authors include Marc A. Maier, David E. Crowley, Thierry Wannier, Urs Wyss, Anne M. Smith, Hui‐Xin Qi, K.M.B. Bennett, R. N. Lemon, K. Hepp and Dominik Straumann. Their work appears in journals such as Proceedings of the National Academy of Sciences, NeuroImage and Journal of Neurophysiology.
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.