Nicholas Szrama
- Cognitive Neuroscience top 5%
- EEG and Brain-Computer Interfaces 4
- Functional Brain Connectivity Studies 3
- Neural dynamics and brain function 3
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- Neuroscience and Neural Engineering 2
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- Radiomics and Machine Learning in Medical Imaging 1
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- Muscle activation and electromyography studies 2
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- Advanced Memory and Neural Computing 2
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- Medical Image Segmentation Techniques 1
- Co-authors
- Eric C. LeuthardtDavid T. BundyCarl D. HackerMrinal PahwaMaurizio CorbettaTimothy O. LaumannAntonello BaldassarreAbraham Z. Snyder
- Cited by
- Cognitive NeuroscienceCellular and Molecular NeuroscienceRadiology, Nuclear Medicine and Imaging
- Journals
- Journal of Neural Engineering (3 papers)Radiology Artificial Intelligence (1 paper)Frontiers in Human Neuroscience (1 paper)
- Partner nations
- United StatesBulgariaCanada
In The Last Decade
Nicholas Szrama
7 papers receiving 476 citations
Peers
Comparison fields: 5 of 48
- Cognitive Neuroscience 444
- Cellular and Molecular Neuroscience 168
- Radiology, Nuclear Medicine and Imaging 97
- Human-Computer Interaction 19
- Neurology 22
Countries citing papers authored by Nicholas Szrama
This map shows the geographic impact of Nicholas Szrama'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 Nicholas Szrama with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Nicholas Szrama more than expected).
Fields of papers citing papers by Nicholas Szrama
This network shows the impact of papers produced by Nicholas Szrama. 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 Nicholas Szrama. The network helps show where Nicholas Szrama may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Nicholas Szrama, 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 | 2024 | 2 | |
| 2 | 2018 | 39 | |
| 3 | 2017 | 4 | |
| 4 | 2016 | 74 | |
| 5 | 2014 | 46 | |
| 6 | 2013 | 194 | |
| 7 | 2011 | 123 |
About Nicholas Szrama
Nicholas Szrama is a scholar working on Cognitive Neuroscience, Cellular and Molecular Neuroscience, Neurology, Computer Vision and Pattern Recognition and Biomedical Engineering, having authored 7 papers that have together received 482 indexed citations. Recurring topics across this work include EEG and Brain-Computer Interfaces (4 papers), Functional Brain Connectivity Studies (3 papers), Neural dynamics and brain function (3 papers), Muscle activation and electromyography studies (2 papers), Advanced Memory and Neural Computing (2 papers), Neuroscience and Neural Engineering (2 papers), Radiomics and Machine Learning in Medical Imaging (1 paper) and Medical Image Segmentation Techniques (1 paper). The work is most often cited by research in Cognitive Neuroscience (444 citations), Cellular and Molecular Neuroscience (168 citations), Radiology, Nuclear Medicine and Imaging (97 citations), Human-Computer Interaction (19 citations) and Neurology (22 citations). Nicholas Szrama has collaborated with scholars based in United States, Bulgaria and Canada. Frequent co-authors include Eric C. Leuthardt, David T. Bundy, Carl D. Hacker, Mrinal Pahwa, Maurizio Corbetta, Timothy O. Laumann, Antonello Baldassarre, Abraham Z. Snyder, Mohit Sharma and Charles M. Gaona. Their work appears in journals such as Journal of Neural Engineering, Radiology Artificial Intelligence, Frontiers in Human Neuroscience, Journal of Neuroscience and NeuroImage.
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.