Thelma L. Williams
- Cell Biology top 2%
- Zebrafish Biomedical Research Applications 13
- Aerospace Engineering top 1%
- Biomimetic flight and propulsion mechanisms 8
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- Neuroscience and Neuropharmacology Research 5
- Cognitive Neuroscience top 5%
- Neural dynamics and brain function 8
- Condensed Matter Physics top 5%
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- Physiological and biochemical adaptations 8
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- Fish Ecology and Management Studies 6
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- stochastic dynamics and bifurcation 5
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- Robotic Locomotion and Control 5
- Co-authors
- Graham BowtellP. WallénAvis H. CohenSten GrillnerNancy KopellBard ErmentroutKaren A. SigvardtPer‐Åke Lagerbäck
- Journals
- Science (2 papers)Proceedings of the National Academy of Sciences (1 paper)The Journal of Physiology (2 papers)
- Partner nations
- United KingdomUnited StatesSweden
In The Last Decade
Thelma L. Williams
33 papers receiving 1.9k citations
Peers
Comparison fields: 5 of 109
- Cell Biology 603
- Aerospace Engineering 711
- Cellular and Molecular Neuroscience 518
- Cognitive Neuroscience 484
- Condensed Matter Physics 251
Countries citing papers authored by Thelma L. Williams
This map shows the geographic impact of Thelma L. 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 Thelma L. Williams with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Thelma L. Williams more than expected).
Fields of papers citing papers by Thelma L. Williams
This network shows the impact of papers produced by Thelma L. 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 Thelma L. Williams. The network helps show where Thelma L. Williams may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Thelma L. Williams, 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 | 2015 | 16 | |
| 2 | 2008 | 65 | |
| 3 | 2008 | 2 | |
| 4 | 2003 | 35 | |
| 5 | 2001 | 20 | |
| 6 | Spinal cord of Lamprey: generation of locomotor patterns | 1998 | 7 |
| 7 | 1997 | 35 | |
| 8 | 1994 | 32 | |
| 9 | 1994 | 17 | |
| 10 | 1993 | 3 | |
| 11 | 1992 | 35 | |
| 12 | 1992 | 168 | |
| 13 | 1991 | 46 | |
| 14 | 1990 | 6 | |
| 15 | 1990 | 18 | |
| 16 | 1989 | 162 | |
| 17 | 1988 | 39 | |
| 18 | 1988 | 7 | |
| 19 | 1987 | 6 | |
| 20 | 1984 | 249 |
About Thelma L. Williams
Thelma L. Williams is a scholar working on Cell Biology, Nature and Landscape Conservation and Cognitive Neuroscience, having authored 33 papers that have together received 2.0k indexed citations. Recurring topics across this work include Zebrafish Biomedical Research Applications (13 papers), Neural dynamics and brain function (8 papers), Physiological and biochemical adaptations (8 papers), Biomimetic flight and propulsion mechanisms (8 papers), Fish Ecology and Management Studies (6 papers), Neuroscience and Neuropharmacology Research (5 papers), stochastic dynamics and bifurcation (5 papers) and Robotic Locomotion and Control (5 papers). The work is most often cited by research in Cell Biology (603 citations), Aerospace Engineering (711 citations) and Cellular and Molecular Neuroscience (518 citations). Thelma L. Williams has collaborated with scholars based in United Kingdom, United States and Sweden. Frequent co-authors include Graham Bowtell, P. Wallén, Avis H. Cohen, Sten Grillner, Nancy Kopell, Bard Ermentrout, Karen A. Sigvardt, Per‐Åke Lagerbäck, Eric Tytell and Chia-Yu Hsu. Their work appears in journals such as Science, Proceedings of the National Academy of Sciences and The Journal of Physiology.
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.