Mitchell M. Rohde
- Cognitive Neuroscience top 5%
- Cellular and Molecular Neuroscience top 10%
- Electrical and Electronic Engineering
- Human-Computer Interaction top 10%
- Signal Processing
- Co-authors
- S.P. LevineS.L. BeMentRamesh Kumar KushwahaJane E. HugginsErasmo A. PassaroDonald A. RossL.A. SchuhKost Elisevich
- Topics
- EEG and Brain-Computer Interfaces (6 papers)Neuroscience and Neural Engineering (4 papers)Neural dynamics and brain function (3 papers)
- Journals
- IEEE Transactions on Biomedical EngineeringElectronics LettersJournal of Clinical Neurophysiology
- Partner nations
- United StatesGermany
In The Last Decade
Mitchell M. Rohde
14 papers receiving 333 citations
Peers
Comparison fields: 5 of 62
- Cognitive Neuroscience 280
- Cellular and Molecular Neuroscience 201
- Electrical and Electronic Engineering 81
- Human-Computer Interaction 39
- Signal Processing 36
Countries citing papers authored by Mitchell M. Rohde
This map shows the geographic impact of Mitchell M. Rohde'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 Mitchell M. Rohde with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Mitchell M. Rohde more than expected).
Fields of papers citing papers by Mitchell M. Rohde
This network shows the impact of papers produced by Mitchell M. Rohde. 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 Mitchell M. Rohde. The network helps show where Mitchell M. Rohde may publish in the future.
Co-authorship network of co-authors of Mitchell M. Rohde
This figure shows the co-authorship network connecting the top 25 collaborators of Mitchell M. Rohde. A scholar is included among the top collaborators of Mitchell M. Rohde 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 Mitchell M. Rohde. Mitchell M. Rohde is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 2 | |
| 2 | 0 | |
| 3 | 2 | |
| 4 | 28 | |
| 5 | 2 | |
| 6 | 0 | |
| 7 | 0 | |
| 8 | 2 | |
| 9 | 9 | |
| 10 | 2 | |
| 11 | 32 | |
| 12 | 2 | |
| 13 | 3 | |
| 14 | 1 | |
| 15 | 153 | |
| 16 | 12 | |
| 17 | 63 | |
| 18 | 44 |
About Mitchell M. Rohde
Mitchell M. Rohde is a scholar working on Cognitive Neuroscience, Computer Vision and Pattern Recognition and Cellular and Molecular Neuroscience, having authored 18 papers that have together received 357 indexed citations. Recurring topics across this work include EEG and Brain-Computer Interfaces (6 papers), Neuroscience and Neural Engineering (4 papers) and Neural dynamics and brain function (3 papers). The work is most often cited by research in Cognitive Neuroscience (280 citations), Cellular and Molecular Neuroscience (201 citations) and Human-Computer Interaction (39 citations). Mitchell M. Rohde has collaborated with scholars based in United States and Germany. Frequent co-authors include S.P. Levine, S.L. BeMent, Ramesh Kumar Kushwaha, Jane E. Huggins, Erasmo A. Passaro, Donald A. Ross, L.A. Schuh, Kost Elisevich, Benjamin J. Smith and Lori A. Schuh. Their work appears in journals such as IEEE Transactions on Biomedical Engineering, Electronics Letters and Journal of Clinical 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.