David Willshaw

7.9k total citations · 3 hit papers
100 papers, 4.6k citations indexed

About

David Willshaw is a scholar working on Cognitive Neuroscience, Cellular and Molecular Neuroscience and Artificial Intelligence. According to data from OpenAlex, David Willshaw has authored 100 papers receiving a total of 4.6k indexed citations (citations by other indexed papers that have themselves been cited), including 51 papers in Cognitive Neuroscience, 47 papers in Cellular and Molecular Neuroscience and 20 papers in Artificial Intelligence. Recurrent topics in David Willshaw's work include Neural dynamics and brain function (40 papers), Neuroscience and Neuropharmacology Research (20 papers) and Advanced Memory and Neural Computing (17 papers). David Willshaw is often cited by papers focused on Neural dynamics and brain function (40 papers), Neuroscience and Neuropharmacology Research (20 papers) and Advanced Memory and Neural Computing (17 papers). David Willshaw collaborates with scholars based in United Kingdom, United States and Netherlands. David Willshaw's co-authors include C. von der Malsburg, Richard Durbin, O. Buneman, H. C. Longuet–Higgins, Andrew Gillies, Peter Dayan, Jay Buckingham, Bruce Graham, David C. Sterratt and Geoffrey J. Goodhill and has published in prestigious journals such as Nature, Proceedings of the National Academy of Sciences and Journal of Neuroscience.

In The Last Decade

David Willshaw

98 papers receiving 4.2k citations

Hit Papers

Non-Holographic Associative Memory 1969 2026 1988 2007 1969 1987 1976 200 400 600

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
David Willshaw United Kingdom 32 2.4k 1.6k 1.4k 756 694 100 4.6k
Surya Ganguli United States 37 2.5k 1.1× 1.5k 0.9× 1.5k 1.1× 434 0.6× 484 0.7× 119 5.1k
George Moore United States 28 3.2k 1.4× 2.0k 1.2× 717 0.5× 308 0.4× 294 0.4× 98 5.3k
Kevin Gurney United Kingdom 29 3.7k 1.6× 2.0k 1.3× 591 0.4× 511 0.7× 468 0.7× 107 6.2k
Joshua T Vogelstein United States 32 2.0k 0.9× 1.0k 0.7× 614 0.4× 673 0.9× 308 0.4× 116 4.1k
Valentino Braitenberg Germany 16 2.2k 1.0× 1.1k 0.7× 602 0.4× 298 0.4× 343 0.5× 25 3.6k
John P. Cunningham United States 33 4.9k 2.1× 2.1k 1.4× 868 0.6× 238 0.3× 702 1.0× 85 6.3k
T. J. Sejnowski United States 30 7.1k 3.0× 4.0k 2.5× 710 0.5× 1.1k 1.5× 565 0.8× 48 9.9k
Tomoki Fukai Japan 36 3.0k 1.3× 2.1k 1.3× 567 0.4× 589 0.8× 765 1.1× 162 4.2k
Florentin Wörgötter Germany 41 2.3k 1.0× 1.2k 0.8× 1.0k 0.7× 316 0.4× 601 0.9× 290 6.1k
Sara A. Solla United States 36 1.9k 0.8× 944 0.6× 2.3k 1.6× 284 0.4× 446 0.6× 77 5.5k

Countries citing papers authored by David Willshaw

Since Specialization
Citations

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

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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 of co-authors of David Willshaw

This figure shows the co-authorship network connecting the top 25 collaborators of David Willshaw. A scholar is included among the top collaborators of David Willshaw 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 David Willshaw. David Willshaw is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
1.
Eglen, Stephen J., Ben Marwick, Yaroslav O. Halchenko, et al.. (2017). Toward standard practices for sharing computer code and programs in neuroscience. Nature Neuroscience. 20(6). 770–773. 63 indexed citations
2.
Willshaw, David, et al.. (2014). Analysis of Local and Global Topographic Order in Mouse Retinocollicular Maps. Journal of Neuroscience. 34(5). 1791–1805. 6 indexed citations
3.
Tijms, Betty M., Peggy Seriès, David Willshaw, & Stephen M. Lawrie. (2011). Similarity-Based Extraction of Individual Networks from Gray Matter MRI Scans. Cerebral Cortex. 22(7). 1530–1541. 232 indexed citations
4.
Bamford, Simeon A., Alan F. Murray, & David Willshaw. (2010). Synaptic rewiring for topographic mapping and receptive field development. Neural Networks. 23(4). 517–527. 11 indexed citations
5.
6.
Ijspeert, Auke Jan, John Hallam, & David Willshaw. (1998). Evolution of a central pattern generator for the swimming and trotting gaits of the salamander. Infoscience (Ecole Polytechnique Fédérale de Lausanne). 2 indexed citations
7.
Gillies, Andrew & David Willshaw. (1998). A massively connected subthalamic nucleus leads to the generation of widespread pulses. Proceedings of the Royal Society B Biological Sciences. 265(1410). 2101–2109. 51 indexed citations
8.
Ijspeert, Auke Jan, John Hallam, & David Willshaw. (1997). Artificial Lampreys: Comparing Naturally and Artificially Evolved Swimming Controllers. Infoscience (Ecole Polytechnique Fédérale de Lausanne). 256–265. 3 indexed citations
9.
Willshaw, David, et al.. (1995). The Role of Activity in Synaptic Competition at the Neuromuscular Junction. Neural Information Processing Systems. 8. 96–102. 2 indexed citations
10.
Goodhill, Geoffrey J., Martin W. Simmen, & David Willshaw. (1995). An evaluation of the use of multidimensional scaling for understanding brain connectivity. Philosophical Transactions of the Royal Society B Biological Sciences. 348(1325). 265–280. 28 indexed citations
11.
Graham, Bruce & David Willshaw. (1994). Capacity and Information Efficiency of a Brain-like Associative Net. Neural Information Processing Systems. 7. 513–520. 3 indexed citations
12.
Willshaw, David. (1994). Non-symbolic approaches to artificial intelligence and the mind. Philosophical Transactions of the Royal Society of London Series A Physical and Engineering Sciences. 349(1689). 87–102. 4 indexed citations
13.
Buckingham, Jay & David Willshaw. (1993). On setting unit thresholds in an incompletely connected associative net. Network Computation in Neural Systems. 4(4). 441–459. 14 indexed citations
14.
Willshaw, David & Peter Dayan. (1992). SYNAPTIC LEARNING RULES. UCL Discovery (University College London). 1 indexed citations
15.
Willshaw, David & Jay Buckingham. (1990). An assessment of Marr’s theory of the hippocampus as a temporary memory store. Philosophical Transactions of the Royal Society B Biological Sciences. 329(1253). 205–215. 83 indexed citations
16.
Willshaw, David & Peter Dayan. (1990). Optimal Plasticity from Matrix Memories: What Goes Up Must Come Down. Neural Computation. 2(1). 85–93. 123 indexed citations
17.
Willshaw, David. (1981). The establishment and the subsequent elimination of polyneuronal innervation of developing muscle: theoretical considerations. Proceedings of the Royal Society of London. Series B, Biological sciences. 212(1187). 233–252. 28 indexed citations
18.
Willshaw, David. (1980). Can the specificity of some nerve connections be accounted for by unspecific mechanisms?. Trends in Neurosciences. 3(6). 157–158.
19.
Willshaw, David, H. C. Longuet–Higgins, & O. Buneman. (1970). Models for the Brain. Nature. 225(5228). 178–178. 2 indexed citations
20.
Longuet–Higgins, H. C., David Willshaw, & O. Buneman. (1970). Theories of associative recall. Quarterly Reviews of Biophysics. 3(2). 223–244. 49 indexed citations

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.

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