W. D. Sheffield
- Cognitive Neuroscience top 5%
- Psychiatry and Mental health top 5%
- Cellular and Molecular Neuroscience top 5%
- Neurology top 10%
- Pediatrics, Perinatology and Child Health top 10%
- Co-authors
- Kent LeydeDavid HimesGavin FabinyiTerence J. O’BrienDavid SnyderMark CookPaul LightfootWendyl D’Souza
- Topics
- Epilepsy research and treatment (3 papers)EEG and Brain-Computer Interfaces (3 papers)Neuroscience and Neuropharmacology Research (2 papers)
- Partner nations
- United StatesUnited KingdomAustralia
In The Last Decade
W. D. Sheffield
12 papers receiving 920 citations
Hit Papers
Peers
Comparison fields: 5 of 88
- Cognitive Neuroscience 619
- Psychiatry and Mental health 423
- Cellular and Molecular Neuroscience 294
- Neurology 125
- Pediatrics, Perinatology and Child Health 98
Countries citing papers authored by W. D. Sheffield
This map shows the geographic impact of W. D. Sheffield'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 W. D. Sheffield with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites W. D. Sheffield more than expected).
Fields of papers citing papers by W. D. Sheffield
This network shows the impact of papers produced by W. D. Sheffield. 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 W. D. Sheffield. The network helps show where W. D. Sheffield may publish in the future.
Co-authorship network of co-authors of W. D. Sheffield
This figure shows the co-authorship network connecting the top 25 collaborators of W. D. Sheffield. A scholar is included among the top collaborators of W. D. Sheffield 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 W. D. Sheffield. W. D. Sheffield is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 0 | |
| 2 | 95 | |
| 3 | 24 | |
| 4 | Prediction of seizure likelihood with a long-term, implanted seizure advisory system in patients with drug-resistant epilepsy: a first-in-man studybreakdown → | 629 |
| 5 | 73 | |
| 6 | 12 | |
| 7 | 13 | |
| 8 | 33 | |
| 9 | 14 | |
| 10 | 32 | |
| 11 | 11 | |
| 12 | 2 | |
| 13 | 1 |
About W. D. Sheffield
W. D. Sheffield is a scholar working on Neurology, Psychiatry and Mental health and Cellular and Molecular Neuroscience, having authored 13 papers that have together received 939 indexed citations. Recurring topics across this work include Epilepsy research and treatment (3 papers), EEG and Brain-Computer Interfaces (3 papers) and Neuroscience and Neuropharmacology Research (2 papers). The work is most often cited by research in Cognitive Neuroscience (619 citations), Psychiatry and Mental health (423 citations) and Cellular and Molecular Neuroscience (294 citations). W. D. Sheffield has collaborated with scholars based in United States, United Kingdom and Australia. Frequent co-authors include Kent Leyde, David Himes, Gavin Fabinyi, Terence J. O’Brien, David Snyder, Mark Cook, Paul Lightfoot, Wendyl D’Souza, Andrew Morokoff and John S. Archer. Their work appears in journals such as The Journal of Immunology, PLoS ONE and The Lancet Neurology.
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.