William Gray-Roncal
Impact in
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- Cell Image Analysis Techniques
Papers in
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- Cell Image Analysis Techniques 6
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- Functional Brain Connectivity Studies 4
- Neural dynamics and brain function 2
- Co-authors
- Erik C. Johnson (10 shared papers)Brock A. Wester (9 shared papers)Jordan Matelsky (8 shared papers)Gregory Kiar (2 shared papers)Nathan G. Drenkow (4 shared papers)Danielle S. Bassett (1 shared paper)Jennifer Stiso (1 shared paper)Daniel Xenes (3 shared papers)
- Journals
- Scientific Reports (4 papers)Frontiers in Neuroinformatics (2 papers)Journal of Imaging Informatics in Medicine (1 paper)PLoS Computational Biology (1 paper)Frontiers in Psychology (1 paper)
- Partner nations
- United StatesCanadaChina
In The Last Decade
William Gray-Roncal
21 papers receiving 144 citations
Peers
Comparison fields: 5 of 65
- Structural Biology 6
- Biophysics 16
- Cognitive Neuroscience 51
- Information Systems and Management 12
- Health Informatics 2
Countries citing papers authored by William Gray-Roncal
This map shows the geographic impact of William Gray-Roncal'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 William Gray-Roncal with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites William Gray-Roncal more than expected).
Fields of papers citing papers by William Gray-Roncal
This network shows the impact of papers produced by William Gray-Roncal. 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 William Gray-Roncal. The network helps show where William Gray-Roncal may publish in the future.
Co-authors
The 25 scholars most cited alongside William Gray-Roncal, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 21 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2021 | 37 | |
| 2 | 2021 | 20 | |
| 3 | 2022 | 18 | |
| 4 | 2022 | 17 | |
| 5 | 2018 | 13 | |
| 6 | 2019 | 6 | |
| 7 | 2020 | 6 | |
| 8 | 2023 | 5 | |
| 9 | 2022 | 5 | |
| 10 | 2020 | 4 | |
| 11 | 2021 | 4 | |
| 12 | 2018 | 3 | |
| 13 | 2021 | 2 | |
| 14 | 2022 | 2 | |
| 15 | 2023 | 1 | |
| 16 | 2024 | 1 | |
| 17 | 2018 | 1 | |
| 18 | 2019 | 1 | |
| 19 | 2021 | 1 | |
| 20 | 2020 | 1 |
About William Gray-Roncal
William Gray-Roncal is a scholar working on Biophysics, Cognitive Neuroscience, Information Systems and Management, Safety Research and Computer Vision and Pattern Recognition, having authored 21 papers that have together received 149 indexed citations. Recurring topics across this work include Cell Image Analysis Techniques (6 papers), Scientific Computing and Data Management (4 papers), Functional Brain Connectivity Studies (4 papers), Biomedical and Engineering Education (3 papers), Complex Network Analysis Techniques (2 papers), Neural dynamics and brain function (2 papers), Career Development and Diversity (2 papers) and Grit, Self-Efficacy, and Motivation (1 paper). The work is most often cited by research in Structural Biology (6 citations), Biophysics (16 citations), Cognitive Neuroscience (51 citations), Information Systems and Management (12 citations) and Health Informatics (2 citations). William Gray-Roncal has collaborated with scholars based in United States, Canada and China. Frequent co-authors include Erik C. Johnson, Brock A. Wester, Jordan Matelsky, Gregory Kiar, Nathan G. Drenkow, Danielle S. Bassett, Jennifer Stiso, Daniel Xenes, Xi‐Nian Zuo and Joshua T Vogelstein. Their work appears in journals such as Scientific Reports, Frontiers in Neuroinformatics, Journal of Imaging Informatics in Medicine, PLoS Computational Biology and Frontiers in Psychology.
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.