Jose M. Carmena
- Cognitive Neuroscience top 0.2%
- EEG and Brain-Computer Interfaces 98
- Neural dynamics and brain function 63
- Motor Control and Adaptation 9
- Functional Brain Connectivity Studies 9
- Cellular and Molecular Neuroscience top 0.1%
- Neuroscience and Neural Engineering 94
- Neuroscience and Neuropharmacology Research 8
- Biomedical Engineering top 0.5%
- Muscle activation and electromyography studies 15
- Human-Computer Interaction top 1%
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- Advanced Memory and Neural Computing 31
- Co-authors
- Miguel A. L. NicolelisKarunesh GangulyDragan F. DimitrovMikhail LebedevRoy E. CristMichel M. MaharbizCraig S. HenriquezJan M. Rabaey
- Journals
- Nature (1 paper)Science (1 paper)Proceedings of the National Academy of Sciences (2 papers)
- Partner nations
- United StatesPortugalItaly
In The Last Decade
Jose M. Carmena
139 papers receiving 9.0k citations
Hit Papers
Peers
Comparison fields: 5 of 147
- Cognitive Neuroscience 6.5k
- Cellular and Molecular Neuroscience 5.7k
- Biomedical Engineering 2.9k
- Human-Computer Interaction 288
- Electrical and Electronic Engineering 2.5k
Countries citing papers authored by Jose M. Carmena
This map shows the geographic impact of Jose M. Carmena'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 Jose M. Carmena with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Jose M. Carmena more than expected).
Fields of papers citing papers by Jose M. Carmena
This network shows the impact of papers produced by Jose M. Carmena. 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 Jose M. Carmena. The network helps show where Jose M. Carmena may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Jose M. Carmena, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2023 | 4 | |
| 2 | 2022 | 20 | |
| 3 | 2021 | 5 | |
| 4 | A wireless millimetre-scale implantable neural stimulator with ultrasonically powered bidirectional communicationbreakdown → | 2020 | 339 |
| 5 | 2018 | 48 | |
| 6 | 2018 | 37 | |
| 7 | 2017 | 80 | |
| 8 | 2017 | 16 | |
| 9 | 2017 | 77 | |
| 10 | Wireless Recording in the Peripheral Nervous System with Ultrasonic Neural Dustbreakdown → | 2016 | 397 |
| 11 | 2014 | 129 | |
| 12 | 2014 | 118 | |
| 13 | 2013 | 18 | |
| 14 | 2009 | 120 | |
| 15 | 2009 | 397 | |
| 16 | 2009 | 0 | |
| 17 | 2005 | 115 | |
| 18 | 2005 | 209 | |
| 19 | 2004 | 81 | |
| 20 | 2004 | 23 |
About Jose M. Carmena
Jose M. Carmena is a scholar working on Cognitive Neuroscience, Cellular and Molecular Neuroscience and Developmental Biology, having authored 144 papers that have together received 9.2k indexed citations. Recurring topics across this work include EEG and Brain-Computer Interfaces (98 papers), Neuroscience and Neural Engineering (94 papers), Neural dynamics and brain function (63 papers), Advanced Memory and Neural Computing (31 papers), Muscle activation and electromyography studies (15 papers), Motor Control and Adaptation (9 papers), Functional Brain Connectivity Studies (9 papers) and Neuroscience and Neuropharmacology Research (8 papers). The work is most often cited by research in Cognitive Neuroscience (6.5k citations), Cellular and Molecular Neuroscience (5.7k citations) and Biomedical Engineering (2.9k citations). Jose M. Carmena has collaborated with scholars based in United States, Portugal and Italy. Frequent co-authors include Miguel A. L. Nicolelis, Karunesh Ganguly, Dragan F. Dimitrov, Mikhail Lebedev, Roy E. Crist, Michel M. Maharbiz, Craig S. Henriquez, Jan M. Rabaey, Amy L. Orsborn and Parag G. Patil. Their work appears in journals such as Nature, Science and Proceedings of the National Academy of Sciences.
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.