Eric Bridgeford
Impact in
- Cognitive Neuroscience top 10%
- Functional Brain Connectivity Studies
- Neural dynamics and brain function
- EEG and Brain-Computer Interfaces
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- Complex Network Analysis Techniques
Papers in ⓘ
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- Functional Brain Connectivity Studies 9
- Neural dynamics and brain function 4
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- Bioinformatics and Genomic Networks 3
- Gene expression and cancer classification 3
- Co-authors
- Danielle S. Bassett (1 shared paper)Sarah F. Muldoon (1 shared paper)Joshua T Vogelstein (13 shared papers)Carey E. Priebe (8 shared papers)Aki Nikolaidis (2 shared papers)Gregory Kiar (3 shared papers)Youngser Park (2 shared papers)Benjamin D. Pedigo (5 shared papers)
- Journals
- eLife (2 papers)Nature Methods (1 paper)Scientific Reports (1 paper)Proceedings of the National Academy of Sciences (1 paper)Current Opinion in Neurobiology (1 paper)
- Partner nations
- United StatesUnited KingdomItaly
In The Last Decade
Eric Bridgeford
14 papers receiving 353 citations
Peers
Comparison fields: 5 of 87
- Cognitive Neuroscience 234
- Statistical and Nonlinear Physics 67
- Radiology, Nuclear Medicine and Imaging 89
- Experimental and Cognitive Psychology 43
- Biophysics 10
Countries citing papers authored by Eric Bridgeford
This map shows the geographic impact of Eric Bridgeford'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 Eric Bridgeford with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Eric Bridgeford more than expected).
Fields of papers citing papers by Eric Bridgeford
This network shows the impact of papers produced by Eric Bridgeford. 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 Eric Bridgeford. The network helps show where Eric Bridgeford may publish in the future.
Co-authors
The 25 scholars most cited alongside Eric Bridgeford, 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 | 2016 | 194 | |
| 2 | 2019 | 33 | |
| 3 | 2021 | 32 | |
| 4 | 2021 | 28 | |
| 5 | 2021 | 17 | |
| 6 | 2023 | 15 | |
| 7 | 2019 | 13 | |
| 8 | 2019 | 7 | |
| 9 | 2016 | 6 | |
| 10 | 2021 | 5 | |
| 11 | 2024 | 2 | |
| 12 | 2023 | 2 | |
| 13 | GraSPy: Graph Statistics in Python | 2019 | 2 |
| 14 | 2023 | 1 | |
| 15 | Geometric Dimensionality Reduction for Subsequent Classification | 2017 | 0 |
| 16 | 2025 | 0 | |
| 17 | 2025 | 0 | |
| 18 | 2025 | 0 |
About Eric Bridgeford
Eric Bridgeford is a scholar working on Cognitive Neuroscience, Molecular Biology, Statistical and Nonlinear Physics, Radiology, Nuclear Medicine and Imaging and Artificial Intelligence, having authored 18 papers that have together received 357 indexed citations. Recurring topics across this work include Functional Brain Connectivity Studies (9 papers), Complex Network Analysis Techniques (5 papers), Advanced Neuroimaging Techniques and Applications (4 papers), Neural dynamics and brain function (4 papers), Bioinformatics and Genomic Networks (3 papers), Gene expression and cancer classification (3 papers), Advanced MRI Techniques and Applications (2 papers) and Statistical Methods and Bayesian Inference (1 paper). The work is most often cited by research in Cognitive Neuroscience (234 citations), Statistical and Nonlinear Physics (67 citations), Radiology, Nuclear Medicine and Imaging (89 citations), Experimental and Cognitive Psychology (43 citations) and Biophysics (10 citations). Eric Bridgeford has collaborated with scholars based in United States, United Kingdom and Italy. Frequent co-authors include Danielle S. Bassett, Sarah F. Muldoon, Joshua T Vogelstein, Carey E. Priebe, Aki Nikolaidis, Gregory Kiar, Youngser Park, Benjamin D. Pedigo, Michael P. Milham and Minh Tang. Their work appears in journals such as eLife, Nature Methods, Scientific Reports, Proceedings of the National Academy of Sciences and Current Opinion in Neurobiology.
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.