David Willshaw
- Cognitive Neuroscience top 0.5%
- Neural dynamics and brain function 40
- Memory and Neural Mechanisms 16
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- Neuroscience and Neuropharmacology Research 20
- Neuroscience and Neural Engineering 13
- Photoreceptor and optogenetics research 11
- Artificial Intelligence top 0.5%
- Neural Networks and Applications 13
- Developmental Neuroscience top 5%
- Neurology top 5%
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- Advanced Memory and Neural Computing 17
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- Retinal Development and Disorders 12
- Co-authors
- C. von der MalsburgRichard DurbinH. C. Longuet–HigginsO. BunemanAndrew GilliesPeter DayanJay BuckinghamBruce Graham
- Journals
- Network Computation in Neural Systems (12 papers)Nature (6 papers)Biological Cybernetics (5 papers)
- Partner nations
- United KingdomUnited StatesNetherlands
In The Last Decade
David Willshaw
98 papers receiving 4.2k citations
Hit Papers
Peers
Comparison fields: 5 of 170
- Cognitive Neuroscience 2.4k
- Cellular and Molecular Neuroscience 1.6k
- Artificial Intelligence 1.4k
- Developmental Neuroscience 136
- Neurology 241
Countries citing papers authored by David Willshaw
This map shows the geographic impact of David Willshaw'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 David Willshaw with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites David Willshaw more than expected).
Fields of papers citing papers by David Willshaw
This network shows the impact of papers produced by David Willshaw. 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 David Willshaw. The network helps show where David Willshaw may publish in the future.
Co-authorship network
The 25 scholars most cited alongside David Willshaw, 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 | 2017 | 63 | |
| 2 | 2015 | 33 | |
| 3 | 2014 | 6 | |
| 4 | 2013 | 77 | |
| 5 | 2011 | 232 | |
| 6 | 2010 | 11 | |
| 7 | 2005 | 35 | |
| 8 | 2004 | 29 | |
| 9 | 2000 | 8 | |
| 10 | Evolution of a central pattern generator for the swimming and trotting gaits of the salamander | 1998 | 2 |
| 11 | Artificial Lampreys: Comparing Naturally and Artificially Evolved Swimming Controllers | 1997 | 3 |
| 12 | The Role of Activity in Synaptic Competition at the Neuromuscular Junction | 1995 | 2 |
| 13 | 1995 | 28 | |
| 14 | Capacity and Information Efficiency of a Brain-like Associative Net | 1994 | 3 |
| 15 | 1994 | 4 | |
| 16 | SYNAPTIC LEARNING RULES | 1992 | 1 |
| 17 | 1992 | 146 | |
| 18 | 1991 | 55 | |
| 19 | 1990 | 83 | |
| 20 | 1981 | 28 |
About David Willshaw
David Willshaw is a scholar working on Cognitive Neuroscience, Cellular and Molecular Neuroscience and Developmental Neuroscience, having authored 100 papers that have together received 4.6k indexed citations. Recurring topics across this work include Neural dynamics and brain function (40 papers), Neuroscience and Neuropharmacology Research (20 papers), Advanced Memory and Neural Computing (17 papers), Memory and Neural Mechanisms (16 papers), Neuroscience and Neural Engineering (13 papers), Neural Networks and Applications (13 papers), Retinal Development and Disorders (12 papers) and Photoreceptor and optogenetics research (11 papers). The work is most often cited by research in Cognitive Neuroscience (2.4k citations), Cellular and Molecular Neuroscience (1.6k citations) and Artificial Intelligence (1.4k citations). David Willshaw has collaborated with scholars based in United Kingdom, United States and Netherlands. Frequent co-authors include C. von der Malsburg, Richard Durbin, H. C. Longuet–Higgins, O. Buneman, Andrew Gillies, Peter Dayan, Jay Buckingham, Bruce Graham, David C. Sterratt and Geoffrey J. Goodhill. Their work appears in journals such as Network Computation in Neural Systems, Nature, Biological Cybernetics, Neural Computation and Proceedings of the Royal Society B Biological Sciences.
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.