Daniel Suma
Impact in
- Cognitive Neuroscience top 5%
- EEG and Brain-Computer Interfaces
- Neural dynamics and brain function
- Functional Brain Connectivity Studies
- Human-Computer Interaction top 5%
- Gaze Tracking and Assistive Technology
Papers in
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- EEG and Brain-Computer Interfaces 6
- Neural dynamics and brain function 2
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- Neuroscience and Neural Engineering 3
- Co-authors
- Bin He (6 shared papers)Jianjun Meng (3 shared papers)Bradley J. Edelman (2 shared papers)Christopher C. Cline (1 shared paper)Bryan Baxter (1 shared paper)Claire A. Zurn (1 shared paper)Da Deng (1 shared paper)James Stieger (1 shared paper)
- Journals
- Journal of Neural Engineering (2 papers)IEEE Transactions on Biomedical Engineering (1 paper)Frontiers in Human Neuroscience (1 paper)Cerebral Cortex (1 paper)Science Robotics (1 paper)
- Partner nations
- United StatesChinaTaiwan
In The Last Decade
Daniel Suma
9 papers receiving 460 citations
Daniel Suma's Hit Papers
Peers
Comparison fields: 5 of 59
- Cognitive Neuroscience 378
- Human-Computer Interaction 85
- Cellular and Molecular Neuroscience 210
- Electrical and Electronic Engineering 124
- Signal Processing 20
Countries citing papers authored by Daniel Suma
This map shows the geographic impact of Daniel Suma'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 Daniel Suma with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Daniel Suma more than expected).
Fields of papers citing papers by Daniel Suma
This network shows the impact of papers produced by Daniel Suma. 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 Daniel Suma. The network helps show where Daniel Suma may publish in the future.
Co-authors
The 25 scholars most cited alongside Daniel Suma, 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 | Noninvasive neuroimaging enhances continuous neural tracking for robotic device control Hit paper breakdown → | 2019 | 296 |
| 2 | 2018 | 49 | |
| 3 | 2021 | 44 | |
| 4 | 2019 | 26 | |
| 5 | 2014 | 24 | |
| 6 | 2020 | 13 | |
| 7 | 2022 | 9 | |
| 8 | 2018 | 3 | |
| 9 | 2022 | 2 |
About Daniel Suma
Daniel Suma is a scholar working on Cognitive Neuroscience, Cellular and Molecular Neuroscience, Electrical and Electronic Engineering, Electronic, Optical and Magnetic Materials and Organic Chemistry, having authored 9 papers that have together received 466 indexed citations. Recurring topics across this work include EEG and Brain-Computer Interfaces (6 papers), Neuroscience and Neural Engineering (3 papers), Neural dynamics and brain function (2 papers), Advanced Memory and Neural Computing (2 papers), Synthesis and Characterization of Heterocyclic Compounds (1 paper), Cognitive Functions and Memory (1 paper), Heart Rate Variability and Autonomic Control (1 paper) and Advancements in Battery Materials (1 paper). The work is most often cited by research in Cognitive Neuroscience (378 citations), Human-Computer Interaction (85 citations), Cellular and Molecular Neuroscience (210 citations), Electrical and Electronic Engineering (124 citations) and Signal Processing (20 citations). Daniel Suma has collaborated with scholars based in United States, China and Taiwan. Frequent co-authors include Bin He, Jianjun Meng, Bradley J. Edelman, Christopher C. Cline, Bryan Baxter, Claire A. Zurn, Da Deng, James Stieger, Stephen A. Engel and Xiaoli Guo. Their work appears in journals such as Journal of Neural Engineering, IEEE Transactions on Biomedical Engineering, Frontiers in Human Neuroscience, Cerebral Cortex and Science Robotics.
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.