Stephen R. Williams
- Cellular and Molecular Neuroscience top 0.2%
- Cognitive Neuroscience top 0.5%
- Molecular Biology top 5%
- Electrical and Electronic Engineering top 10%
- Neurology top 5%
- Co-authors
- Greg J. StuartVincenzo CrunelliSimon J. MitchellJ.P. TurnerJeffrey C. MageeMark T. HarnettPeter C. RubenMaarten H. P. Kole
- Topics
- Neuroscience and Neuropharmacology Research (39 papers)Neural dynamics and brain function (37 papers)Neuroscience and Neural Engineering (27 papers)
- Journals
- NatureSciencePhysical Review Letters
- Partner nations
- United KingdomAustraliaUnited States
In The Last Decade
Stephen R. Williams
56 papers receiving 4.6k citations
Peers
Comparison fields: 5 of 129
- Cellular and Molecular Neuroscience 3.7k
- Cognitive Neuroscience 2.8k
- Molecular Biology 1.3k
- Electrical and Electronic Engineering 348
- Neurology 255
Countries citing papers authored by Stephen R. Williams
This map shows the geographic impact of Stephen R. Williams'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 Stephen R. Williams with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Stephen R. Williams more than expected).
Fields of papers citing papers by Stephen R. Williams
This network shows the impact of papers produced by Stephen R. Williams. 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 Stephen R. Williams. The network helps show where Stephen R. Williams may publish in the future.
Co-authorship network of co-authors of Stephen R. Williams
This figure shows the co-authorship network connecting the top 25 collaborators of Stephen R. Williams. A scholar is included among the top collaborators of Stephen R. Williams 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 Stephen R. Williams. Stephen R. Williams 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 | 94 | |
| 3 | 40 | |
| 4 | 62 | |
| 5 | 357 | |
| 6 | 36 | |
| 7 | 43 | |
| 8 | 29 | |
| 9 | 5 | |
| 10 | 80 | |
| 11 | 486 | |
| 12 | 277 | |
| 13 | 72 | |
| 14 | 94 | |
| 15 | 147 | |
| 16 | 232 | |
| 17 | 90 | |
| 18 | 44 | |
| 19 | 101 | |
| 20 | 77 |
About Stephen R. Williams
Stephen R. Williams is a scholar working on Cellular and Molecular Neuroscience, Cognitive Neuroscience and Neurology, having authored 57 papers that have together received 4.6k indexed citations. Recurring topics across this work include Neuroscience and Neuropharmacology Research (39 papers), Neural dynamics and brain function (37 papers) and Neuroscience and Neural Engineering (27 papers). The work is most often cited by research in Cellular and Molecular Neuroscience (3.7k citations), Cognitive Neuroscience (2.8k citations) and Sensory Systems (208 citations). Stephen R. Williams has collaborated with scholars based in United Kingdom, Australia and United States. Frequent co-authors include Greg J. Stuart, Vincenzo Crunelli, Simon J. Mitchell, J.P. Turner, Jeffrey C. Magee, Mark T. Harnett, Peter C. Ruben, Maarten H. P. Kole, Björn M. Kampa and Ning-long Xu. Their work appears in journals such as Nature, Science and Physical Review Letters.
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.