Mijail D. Serruya
- Cognitive Neuroscience top 0.5%
- Cellular and Molecular Neuroscience top 0.5%
- Biomedical Engineering top 2%
- Electrical and Electronic Engineering top 5%
- Human-Computer Interaction top 1%
- Co-authors
- John P. DonoghueGerhard M. FriehsMaryam SalehJon MukandAlmut BrannerRichard D. PennLeigh R. HochbergDavid Chen
- Topics
- EEG and Brain-Computer Interfaces (27 papers)Neuroscience and Neural Engineering (24 papers)Advanced Memory and Neural Computing (7 papers)
- Partner nations
- United StatesMexico
In The Last Decade
Mijail D. Serruya
41 papers receiving 4.2k citations
Hit Papers
Peers
Comparison fields: 5 of 128
- Cognitive Neuroscience 3.4k
- Cellular and Molecular Neuroscience 3.1k
- Biomedical Engineering 1.2k
- Electrical and Electronic Engineering 931
- Human-Computer Interaction 242
Countries citing papers authored by Mijail D. Serruya
This map shows the geographic impact of Mijail D. Serruya'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 Mijail D. Serruya with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Mijail D. Serruya more than expected).
Fields of papers citing papers by Mijail D. Serruya
This network shows the impact of papers produced by Mijail D. Serruya. 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 Mijail D. Serruya. The network helps show where Mijail D. Serruya may publish in the future.
Co-authorship network of co-authors of Mijail D. Serruya
This figure shows the co-authorship network connecting the top 25 collaborators of Mijail D. Serruya. A scholar is included among the top collaborators of Mijail D. Serruya 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 Mijail D. Serruya. Mijail D. Serruya 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 | 1 | |
| 3 | 1 | |
| 4 | 2 | |
| 5 | 2 | |
| 6 | 6 | |
| 7 | 60 | |
| 8 | 33 | |
| 9 | 12 | |
| 10 | 55 | |
| 11 | 111 | |
| 12 | 2 | |
| 13 | 12 | |
| 14 | 13 | |
| 15 | 45 | |
| 16 | 54 | |
| 17 | 29 | |
| 18 | Neuronal ensemble control of prosthetic devices by a human with tetraplegiabreakdown → | 2313 |
| 19 | 76 | |
| 20 | Inferring Hand Motion from Multi-Cell Recordings in Motor Cortex using a Kalman Filter | 35 |
About Mijail D. Serruya
Mijail D. Serruya is a scholar working on Cognitive Neuroscience, Cellular and Molecular Neuroscience and Neurology, having authored 44 papers that have together received 4.4k indexed citations. Recurring topics across this work include EEG and Brain-Computer Interfaces (27 papers), Neuroscience and Neural Engineering (24 papers) and Advanced Memory and Neural Computing (7 papers). The work is most often cited by research in Cognitive Neuroscience (3.4k citations), Cellular and Molecular Neuroscience (3.1k citations) and Human-Computer Interaction (242 citations). Mijail D. Serruya has collaborated with scholars based in United States and Mexico. Frequent co-authors include John P. Donoghue, Gerhard M. Friehs, Maryam Saleh, Jon Mukand, Almut Branner, Richard D. Penn, Leigh R. Hochberg, David Chen, Matthew Fellows and Nicholas G. Hatsopoulos. Their work appears in journals such as Nature, SHILAP Revista de lepidopterología and PLoS ONE.
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.