William B. Levy

7.9k total citations · 1 hit paper
160 papers, 5.9k citations indexed

About

William B. Levy is a scholar working on Cognitive Neuroscience, Cellular and Molecular Neuroscience and Molecular Biology. According to data from OpenAlex, William B. Levy has authored 160 papers receiving a total of 5.9k indexed citations (citations by other indexed papers that have themselves been cited), including 120 papers in Cognitive Neuroscience, 107 papers in Cellular and Molecular Neuroscience and 31 papers in Molecular Biology. Recurrent topics in William B. Levy's work include Neural dynamics and brain function (96 papers), Neuroscience and Neuropharmacology Research (90 papers) and Memory and Neural Mechanisms (58 papers). William B. Levy is often cited by papers focused on Neural dynamics and brain function (96 papers), Neuroscience and Neuropharmacology Research (90 papers) and Memory and Neural Mechanisms (58 papers). William B. Levy collaborates with scholars based in United States, Canada and Sweden. William B. Levy's co-authors include Nancy L. Desmond, Oswald Steward, Robert A. Baxter, Carl W. Cotman, John W. Haycock, Costa M. Colbert, William R. Holmes, Gordon H. Dixon, Paul Rodriguez and Ali A. Minai and has published in prestigious journals such as Nature, Science and Proceedings of the National Academy of Sciences.

In The Last Decade

William B. Levy

155 papers receiving 5.7k citations

Hit Papers

Temporal contiguity requirements for long-term associativ... 1983 2026 1997 2011 1983 100 200 300 400 500

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
William B. Levy United States 39 4.3k 3.7k 1.3k 697 477 160 5.9k
Sam A. Deadwyler United States 55 6.1k 1.4× 4.9k 1.3× 1.5k 1.1× 443 0.6× 351 0.7× 172 8.5k
Gilad Silberberg Sweden 38 4.7k 1.1× 4.3k 1.1× 1.8k 1.3× 448 0.6× 450 0.9× 83 7.2k
Ádám Kepecs United States 38 3.2k 0.8× 5.0k 1.3× 1.1k 0.8× 400 0.6× 229 0.5× 65 6.8k
Theodore W. Berger United States 48 6.4k 1.5× 5.7k 1.5× 1.1k 0.8× 984 1.4× 465 1.0× 332 9.2k
Michele Migliore Italy 40 4.0k 0.9× 3.1k 0.8× 1.7k 1.3× 599 0.9× 244 0.5× 145 5.9k
Darrell A. Henze United States 33 5.3k 1.2× 5.1k 1.3× 835 0.6× 532 0.8× 364 0.8× 54 6.9k
Alex M. Thomson United Kingdom 46 6.0k 1.4× 4.8k 1.3× 1.7k 1.3× 418 0.6× 338 0.7× 106 7.4k
Joachim Lübke Germany 38 7.3k 1.7× 6.1k 1.6× 1.9k 1.4× 1.6k 2.3× 640 1.3× 70 9.3k
Dominique Debanne France 40 4.6k 1.1× 3.0k 0.8× 1.8k 1.3× 847 1.2× 328 0.7× 89 5.9k

Countries citing papers authored by William B. Levy

Since Specialization
Citations

This map shows the geographic impact of William B. Levy'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 William B. Levy with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites William B. Levy more than expected).

Fields of papers citing papers by William B. Levy

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by William B. Levy. 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 William B. Levy. The network helps show where William B. Levy may publish in the future.

Co-authorship network of co-authors of William B. Levy

This figure shows the co-authorship network connecting the top 25 collaborators of William B. Levy. A scholar is included among the top collaborators of William B. Levy 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 William B. Levy. William B. Levy 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.
Levy, William B. & Robert A. Baxter. (2023). Growing dendrites enhance a neuron’s computational power and memory capacity. Neural Networks. 164. 275–309.
2.
Baxter, Robert A. & William B. Levy. (2019). Constructing multilayered neural networks with sparse, data-driven connectivity using biologically-inspired, complementary, homeostatic mechanisms. Neural Networks. 122. 68–93. 5 indexed citations
3.
Singh, Chandan & William B. Levy. (2017). A consensus layer V pyramidal neuron can sustain interpulse-interval coding. PLoS ONE. 12(7). e0180839–e0180839. 7 indexed citations
4.
Colbert, Costa M., et al.. (2017). Limited synapse overproduction can speed development but sometimes with long-term energy and discrimination penalties. PLoS Computational Biology. 13(9). e1005750–e1005750. 5 indexed citations
5.
Berger, Toby, et al.. (2016). Mutual Information and Parameter Estimation in the Generalized Inverse Gaussian Diffusion Model of Cortical Neurons. IEEE Transactions on Molecular Biological and Multi-Scale Communications. 2(2). 166–182. 5 indexed citations
6.
Levy, William B., et al.. (2015). Adaptive Synaptogenesis Constructs Neural Codes That Benefit Discrimination. PLoS Computational Biology. 11(7). e1004299–e1004299. 8 indexed citations
7.
Levy, William B.. (2010). Discovering Associative Long-term Synaptic Modification and Timing Dependence of Plasticity – a Very Brief and Personal History. SHILAP Revista de lepidopterología. 2. 149–149. 2 indexed citations
8.
Morel, Danielle & William B. Levy. (2009). The cost of linearization. Journal of Computational Neuroscience. 27(2). 259–275. 3 indexed citations
9.
Levy, William B., et al.. (2006). Theta-modulated input reduces intrinsic gamma oscillations in a hippocampal model. Neurocomputing. 70(10-12). 2074–2078. 2 indexed citations
10.
Crotty, Patrick, et al.. (2006). The metabolic energy cost of action potential velocity. Bulletin of the American Physical Society. 1 indexed citations
11.
Rodriguez, Paul & William B. Levy. (2003). Configural representations in transverse patterning with a hippocampal model. Neural Networks. 17(2). 175–190. 5 indexed citations
12.
Shon, Aaron P., et al.. (2002). Initial state randomness improves sequence learning in a model hippocampal network. Physical review. E, Statistical physics, plasmas, fluids, and related interdisciplinary topics. 65(3). 31914–31914. 13 indexed citations
13.
Levy, William B., et al.. (1996). The relationship of local context codes to sequence length memory capacity. Network Computation in Neural Systems. 7(2). 371–384. 25 indexed citations
14.
Baxter, Robert A., et al.. (1996). Context codes and the effect of noisy learning on a simplified hippocampal CA3 model. Biological Cybernetics. 74(2). 159–165. 37 indexed citations
15.
Klintsova, Anna Y., William B. Levy, & Nancy L. Desmond. (1995). Astrocytic volume fluctuates in the hippocampal CA1 region across the estrous cycle. Brain Research. 690(2). 269–274. 66 indexed citations
16.
Minai, Ali A. & William B. Levy. (1992). Predicting Complex Behavior in Sparse Asymmetric Networks. Neural Information Processing Systems. 5. 556–563. 12 indexed citations
17.
18.
Tomasulo, Richard A., William B. Levy, & Oswald Steward. (1991). LTP-associated EPSP/spike dissociation in the dentate gyrus: GABAergic and non-GABAergic components. Brain Research. 561(1). 27–34. 46 indexed citations
19.
Desmond, Nancy L., et al.. (1991). NMDA receptor antagonists block the induction of long-term depression in the hippocampal dentate gyrus of the anesthetized rat. Brain Research. 552(1). 93–98. 48 indexed citations
20.
Desmond, Nancy L. & William B. Levy. (1988). Synaptic interface surface area increases with long-term potentiation in the hippocampal dentate gyrus. Brain Research. 453(1-2). 308–314. 101 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.

Explore authors with similar magnitude of impact

Rankless by CCL
2026