Garrett T. Kenyon

1.6k total citations · 1 hit paper
74 papers, 933 citations indexed

About

Garrett T. Kenyon is a scholar working on Cognitive Neuroscience, Electrical and Electronic Engineering and Artificial Intelligence. According to data from OpenAlex, Garrett T. Kenyon has authored 74 papers receiving a total of 933 indexed citations (citations by other indexed papers that have themselves been cited), including 34 papers in Cognitive Neuroscience, 25 papers in Electrical and Electronic Engineering and 20 papers in Artificial Intelligence. Recurrent topics in Garrett T. Kenyon's work include Neural dynamics and brain function (30 papers), Advanced Memory and Neural Computing (18 papers) and Photoreceptor and optogenetics research (12 papers). Garrett T. Kenyon is often cited by papers focused on Neural dynamics and brain function (30 papers), Advanced Memory and Neural Computing (18 papers) and Photoreceptor and optogenetics research (12 papers). Garrett T. Kenyon collaborates with scholars based in United States, United Kingdom and Hungary. Garrett T. Kenyon's co-authors include David Mascareñas, Yongchao Yang, Charles R. Farrar, Charles Dorn, David Marshak, Javier F. Medina, Michael D. Mauk, James Theiler, Satish Nagarajaiah and John P. George and has published in prestigious journals such as Proceedings of the National Academy of Sciences, SHILAP Revista de lepidopterología and IEEE Transactions on Pattern Analysis and Machine Intelligence.

In The Last Decade

Garrett T. Kenyon

69 papers receiving 910 citations

Hit Papers

align trajectories

What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

Blind identification of full-field vibration modes from video measurements with phase-based video motion magnification

2016 280 citations Yongchao Yang, Charles Dorn et al. profile →

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Garrett T. Kenyon United States	15	375	326	257	225	168	74	933
Jing Wen China	19	85 0.2×	381 1.2×	160 0.6×	238 1.1×	228 1.4×	92	1.2k
Teresa H. Meng United States	27	498 1.3×	172 0.5×	1.3k 4.9×	647 2.9×	688 4.1×	70	2.9k
Rassoul Amirfattahi Iran	15	83 0.2×	237 0.7×	38 0.1×	95 0.4×	30 0.2×	48	649
Abhay Upadhyay India	15	40 0.1×	142 0.4×	91 0.4×	578 2.6×	70 0.4×	51	1.1k
Arash Ahmadi Iran	26	149 0.4×	80 0.2×	1.4k 5.6×	775 3.4×	590 3.5×	184	2.3k
Pradip Sircar India	16	61 0.2×	199 0.6×	87 0.3×	376 1.7×	22 0.1×	57	993
Hashem Kalbkhani Iran	16	64 0.2×	127 0.4×	374 1.5×	222 1.0×	14 0.1×	71	903
Hui Song China	14	50 0.1×	84 0.3×	504 2.0×	414 1.8×	72 0.4×	52	1.1k
Hui Xu China	17	27 0.1×	208 0.6×	361 1.4×	68 0.3×	124 0.7×	101	949
Eva M. Ortigosa Spain	9	26 0.1×	187 0.6×	228 0.9×	149 0.7×	58 0.3×	25	649

Countries citing papers authored by Garrett T. Kenyon

Since Specialization

Citations

This map shows the geographic impact of Garrett T. Kenyon'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 Garrett T. Kenyon with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Garrett T. Kenyon more than expected).

Fields of papers citing papers by Garrett T. Kenyon

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Garrett T. Kenyon. 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 Garrett T. Kenyon. The network helps show where Garrett T. Kenyon may publish in the future.

Co-authorship network of co-authors of Garrett T. Kenyon

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

All Works

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20 of 20 papers shown

Balogh, Márton, et al.. (2024). Gap junctions fine-tune ganglion cell signals to equalize response kinetics within a given electrically coupled array. iScience. 27(6). 110099–110099. 1 indexed citations

Kunwar, Sundar, Michael Saccone, Francesco Caravelli, et al.. (2023). An Interface‐Type Memristive Device for Artificial Synapse and Neuromorphic Computing. SHILAP Revista de lepidopterología. 5(8). 26 indexed citations

Risbud, Sumedh R., et al.. (2023). Implementing and Benchmarking the Locally Competitive Algorithm on the Loihi 2 Neuromorphic Processor. 1–6. 8 indexed citations

Pelofske, Elijah, et al.. (2023). Sampling binary sparse coding QUBO models using a spiking neuromorphic processor. 1–5. 1 indexed citations

Aimone, James B., Prasanna Date, G. A. Fonseca Guerra, et al.. (2022). A review of non-cognitive applications for neuromorphic computing. Neuromorphic Computing and Engineering. 2(3). 32003–32003. 33 indexed citations

Balogh, Márton, et al.. (2022). Transience of the Retinal Output Is Determined by a Great Variety of Circuit Elements. Cells. 11(5). 810–810. 4 indexed citations

Wang, Daniel, Howard Pritchard, & Garrett T. Kenyon. (2021). A sparse coding approach to up-sampling and extrapolating 2-dimensional computational fluid dynamics simulations. 40. 23–23. 1 indexed citations

Kim, Edward, et al.. (2020). Modeling Biological Immunity to Adversarial Examples. OSTI OAI (U.S. Department of Energy Office of Scientific and Technical Information). 4665–4674. 6 indexed citations

Yang, Yongchao, et al.. (2018). Spatiotemporal video-domain high-fidelity simulation and realistic visualization of full-field dynamic responses of structures by a combination of high-spatial-resolution modal model and video motion manipulations. Structural Control and Health Monitoring. 25(8). e2193–e2193. 12 indexed citations

10.

Nguyen, Nga T. T., et al.. (2017). Generating Sparse Representations Using Quantum Annealing: Comparison to Classical Algorithms. 9. 1–6. 3 indexed citations

11.

Zhang, Xinhua & Garrett T. Kenyon. (2015). A Deconvolutional Strategy for Implementing Large Patch Sizes Supports Improved Image Classification.. 529–534. 1 indexed citations

12.

Sanbonmatsu, Karissa Y., Rohan Bennett, Stuart Barr, et al.. (2010). Comparing Speed-of-Sight studies using rendered vs. natural images. Journal of Vision. 10(7). 986–986. 1 indexed citations

13.

Miller, Jeremy A. & Garrett T. Kenyon. (2007). Extracting Number-Selective Responses from Coherent Oscillations in a Computer Model. Neural Computation. 19(7). 1766–1797. 3 indexed citations

14.

Stephens, Greg J., Sergio Neuenschwander, John P. George, Wolf Singer, & Garrett T. Kenyon. (2006). See globally, spike locally: oscillations in a retinal model encode large visual features. Biological Cybernetics. 95(4). 327–348. 13 indexed citations

15.

Kenyon, Garrett T., James Theiler, John P. George, B. J. Travis, & David Marshak. (2004). Correlated Firing Improves Stimulus Discrimination in a Retinal Model. Neural Computation. 16(11). 2261–2291. 21 indexed citations

16.

Kenyon, Garrett T., et al.. (2004). A theory of the Benham Top based on center–surround interactions in the parvocellular pathway. Neural Networks. 17(5-6). 773–786. 3 indexed citations

17.

Kenyon, Garrett T., Bartlett D. Moore, Greg J. Stephens, et al.. (2003). A model of high-frequency oscillatory potentials in retinal ganglion cells. Visual Neuroscience. 20(5). 465–480. 25 indexed citations

18.

Kenyon, Garrett T., Javier F. Medina, & Michael D. Mauk. (1998). A Mathematical Model of the Cerebellar-Olivary System I: Self-Regulating Equilibrium of Climbing Fiber Activity. Journal of Computational Neuroscience. 5(1). 17–33. 44 indexed citations

19.

Kenyon, Garrett T.. (1990). Mathematical and Numerical Analysis of Firing Correlations Between Nerve Cells.. PhDT. 1 indexed citations

20.

Kenyon, Garrett T., Eberhard E. Fetz, & R. D. Puff. (1989). Effects of Firing Synchrony on Signal Propagation in Layered Networks. Neural Information Processing Systems. 2. 141–148. 9 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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