Zachary P. Kilpatrick

1.3k total citations
48 papers, 624 citations indexed

About

Zachary P. Kilpatrick is a scholar working on Cognitive Neuroscience, Statistical and Nonlinear Physics and Computer Networks and Communications. According to data from OpenAlex, Zachary P. Kilpatrick has authored 48 papers receiving a total of 624 indexed citations (citations by other indexed papers that have themselves been cited), including 38 papers in Cognitive Neuroscience, 22 papers in Statistical and Nonlinear Physics and 11 papers in Computer Networks and Communications. Recurrent topics in Zachary P. Kilpatrick's work include Neural dynamics and brain function (35 papers), stochastic dynamics and bifurcation (19 papers) and Nonlinear Dynamics and Pattern Formation (11 papers). Zachary P. Kilpatrick is often cited by papers focused on Neural dynamics and brain function (35 papers), stochastic dynamics and bifurcation (19 papers) and Nonlinear Dynamics and Pattern Formation (11 papers). Zachary P. Kilpatrick collaborates with scholars based in United States, United Kingdom and Germany. Zachary P. Kilpatrick's co-authors include Paul C. Bressloff, Bard Ermentrout, Krešimir Josić́, Stefanos E. Folias, Brent Doiron, Alan Veliz‐Cuba, Matthew R. Bennett, Jae Kyoung Kim, Jacob D. Davidson and Ahmed El Hady and has published in prestigious journals such as Physical Review Letters, Journal of Neuroscience and Journal of Neurophysiology.

In The Last Decade

Zachary P. Kilpatrick

47 papers receiving 606 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Zachary P. Kilpatrick United States 16 459 257 175 130 74 48 624
Christian Bick United Kingdom 17 457 1.0× 309 1.2× 481 2.7× 120 0.9× 46 0.6× 46 982
Alessio Franci Mexico 16 346 0.8× 270 1.1× 136 0.8× 267 2.1× 113 1.5× 56 761
Toshio Aoyagi Japan 16 564 1.2× 358 1.4× 467 2.7× 171 1.3× 102 1.4× 63 919
Aaditya V. Rangan United States 15 475 1.0× 320 1.2× 124 0.7× 228 1.8× 100 1.4× 46 641
Nicolás Rubido Uruguay 12 160 0.3× 146 0.6× 115 0.7× 59 0.5× 69 0.9× 46 444
Michael A. Buice United States 16 763 1.7× 261 1.0× 132 0.8× 397 3.1× 126 1.7× 25 989
Thomas Petermann Switzerland 11 854 1.9× 415 1.6× 156 0.9× 283 2.2× 145 2.0× 17 1.1k
Luis F. Lago-Fernández Spain 6 308 0.7× 291 1.1× 228 1.3× 50 0.4× 24 0.3× 20 591
Nicholas M. Timme United States 16 867 1.9× 236 0.9× 63 0.4× 385 3.0× 144 1.9× 23 1.2k
Fernando Corbacho Spain 10 348 0.8× 285 1.1× 228 1.3× 80 0.6× 36 0.5× 22 717

Countries citing papers authored by Zachary P. Kilpatrick

Since Specialization
Citations

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

Fields of papers citing papers by Zachary P. Kilpatrick

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Zachary P. Kilpatrick. 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 Zachary P. Kilpatrick. The network helps show where Zachary P. Kilpatrick may publish in the future.

Co-authorship network of co-authors of Zachary P. Kilpatrick

This figure shows the co-authorship network connecting the top 25 collaborators of Zachary P. Kilpatrick. A scholar is included among the top collaborators of Zachary P. Kilpatrick 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 Zachary P. Kilpatrick. Zachary P. Kilpatrick 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.
Ott, William, et al.. (2023). Impact of correlated information on pioneering decisions. Physical Review Research. 5(3). 2 indexed citations
2.
Kilpatrick, Zachary P., et al.. (2023). Bed nucleus of the stria terminalis GABA neurons are necessary for changes in foraging behaviour following an innate threat. European Journal of Neuroscience. 58(7). 3630–3649. 3 indexed citations
3.
Eissa, Tahra L. & Zachary P. Kilpatrick. (2023). Learning efficient representations of environmental priors in working memory. PLoS Computational Biology. 19(11). e1011622–e1011622. 5 indexed citations
4.
Farries, Michael A., et al.. (2022). An emergent temporal basis set robustly supports cerebellar time-series learning. Journal of Neurophysiology. 129(1). 159–176. 2 indexed citations
5.
Hady, Ahmed El, et al.. (2022). Stochastic dynamics of social patch foraging decisions. Physical Review Research. 4(3). 10 indexed citations
6.
Kilpatrick, Zachary P., Jacob D. Davidson, & Ahmed El Hady. (2021). Uncertainty drives deviations in normative foraging decision strategies. Journal of The Royal Society Interface. 18(180). 20210337–20210337. 17 indexed citations
7.
Ott, William, et al.. (2020). Heterogeneity Improves Speed and Accuracy in Social Networks. Physical Review Letters. 125(21). 218302–218302. 22 indexed citations
8.
Kilpatrick, Zachary P., et al.. (2020). A hierarchical model of perceptual multistability involving interocular grouping. Journal of Computational Neuroscience. 48(2). 177–192. 2 indexed citations
9.
Peleg, Orit, et al.. (2019). Social inhibition maintains adaptivity and consensus of honeybees foraging in dynamic environments. Royal Society Open Science. 6(12). 191681–191681. 8 indexed citations
10.
Krishnan, Nikhil, et al.. (2018). Synaptic efficacy shapes resource limitations in working memory. Journal of Computational Neuroscience. 44(3). 273–295. 8 indexed citations
11.
Kilpatrick, Zachary P., et al.. (2017). Evidence Accumulation and Change Rate Inference in Dynamic Environments.. CU Scholar (University of Colorado Boulder). 10 indexed citations
12.
Jacot-Guillarmod, Alain, Yunjiao Wang, Claudia Pedroza, et al.. (2017). Extending Levelt’s Propositions to perceptual multistability involving interocular grouping. Vision Research. 133. 37–46. 8 indexed citations
13.
Kilpatrick, Zachary P., et al.. (2017). Velocity Integration in a Multilayer Neural Field Model of Spatial Working Memory. SIAM Journal on Applied Dynamical Systems. 16(3). 1197–1234. 1 indexed citations
14.
Kilpatrick, Zachary P.. (2015). Stochastic synchronization of neural activity waves. Physical Review E. 91(4). 40701–40701. 4 indexed citations
15.
Kilpatrick, Zachary P.. (2014). Wilson-Cowan Model.. 6 indexed citations
16.
Josić́, Krešimir, et al.. (2013). Encoding certainty in bump attractors. Journal of Computational Neuroscience. 37(1). 29–48. 13 indexed citations
17.
Kilpatrick, Zachary P.. (2013). Short term synaptic depression improves information transfer in perceptual multistability. Frontiers in Computational Neuroscience. 7. 85–85. 8 indexed citations
18.
Kilpatrick, Zachary P. & Bard Ermentrout. (2011). Sparse Gamma Rhythms Arising through Clustering in Adapting Neuronal Networks. PLoS Computational Biology. 7(11). e1002281–e1002281. 44 indexed citations
19.
Kilpatrick, Zachary P. & Paul C. Bressloff. (2009). Spatially structured oscillations in a two-dimensional excitatory neuronal network with synaptic depression. Journal of Computational Neuroscience. 28(2). 193–209. 41 indexed citations
20.
Bressloff, Paul C. & Zachary P. Kilpatrick. (2008). Nonlocal Ginzburg-Landau equation for cortical pattern formation. Physical Review E. 78(4). 41916–41916. 18 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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