G. Sean Escola

1.0k total citations
12 papers, 306 citations indexed

About

G. Sean Escola is a scholar working on Cognitive Neuroscience, Artificial Intelligence and Molecular Biology. According to data from OpenAlex, G. Sean Escola has authored 12 papers receiving a total of 306 indexed citations (citations by other indexed papers that have themselves been cited), including 9 papers in Cognitive Neuroscience, 3 papers in Artificial Intelligence and 2 papers in Molecular Biology. Recurrent topics in G. Sean Escola's work include Neural dynamics and brain function (8 papers), EEG and Brain-Computer Interfaces (5 papers) and Functional Brain Connectivity Studies (4 papers). G. Sean Escola is often cited by papers focused on Neural dynamics and brain function (8 papers), EEG and Brain-Computer Interfaces (5 papers) and Functional Brain Connectivity Studies (4 papers). G. Sean Escola collaborates with scholars based in United States and Poland. G. Sean Escola's co-authors include James Murray, L. F. Abbott, Christopher J. Cueva, L. F. Abbott, Brian DePasquale, Kanaka Rajan, Liam Paninski, Alfredo Fontanini, Donald B. Katz and Jack Lindsey and has published in prestigious journals such as Nature Communications, Neuron and Nature Neuroscience.

In The Last Decade

G. Sean Escola

12 papers receiving 304 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
G. Sean Escola United States	7	236	87	80	66	24	12	306
Aditya Gilra United Kingdom	6	196 0.8×	79 0.9×	64 0.8×	69 1.0×	14 0.6×	10	279
Shreya Saxena United States	10	260 1.1×	60 0.7×	35 0.4×	114 1.7×	22 0.9×	25	368
Wilten Nicola Canada	11	286 1.2×	84 1.0×	151 1.9×	134 2.0×	30 1.3×	23	384
Michael E. Rule United Kingdom	9	307 1.3×	43 0.5×	49 0.6×	179 2.7×	17 0.7×	17	356
Cristina Savin United States	12	286 1.2×	66 0.8×	104 1.3×	150 2.3×	37 1.5×	33	362
Kenneth W. Latimer United States	8	284 1.2×	30 0.3×	36 0.5×	95 1.4×	23 1.0×	12	323
Alireza Alemi United States	7	224 0.9×	44 0.5×	66 0.8×	73 1.1×	16 0.7×	8	273
Fleur Zeldenrust Netherlands	9	213 0.9×	37 0.4×	105 1.3×	156 2.4×	24 1.0×	20	283
Andrei Belitski Germany	6	439 1.9×	36 0.4×	60 0.8×	214 3.2×	14 0.6×	7	489
Abigail A. Russo United States	5	321 1.4×	40 0.5×	29 0.4×	103 1.6×	24 1.0×	5	347

Countries citing papers authored by G. Sean Escola

Since Specialization

Citations

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

Fields of papers citing papers by G. Sean Escola

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by G. Sean Escola. 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 G. Sean Escola. The network helps show where G. Sean Escola may publish in the future.

Co-authorship network of co-authors of G. Sean Escola

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

All Works

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12 of 12 papers shown

Hamm, Jordan P., et al.. (2025). Slow cortical dynamics generate context processing and novelty detection. Neuron. 113(6). 847–857.e8. 5 indexed citations

Lakshminarasimhan, Kaushik J., Jeremy D. Cohen, Britton Sauerbrei, et al.. (2024). Specific connectivity optimizes learning in thalamocortical loops. Cell Reports. 43(4). 114059–114059. 5 indexed citations

Lindsey, Jack, et al.. (2024). The role of motor cortex in motor sequence execution depends on demands for flexibility. Nature Neuroscience. 27(12). 2466–2475. 6 indexed citations

Lindsey, Jack, et al.. (2023). Dissociating the contributions of sensorimotor striatum to automatic and visually guided motor sequences. Nature Neuroscience. 26(10). 1791–1804. 21 indexed citations

Ramkumar, Pavan, et al.. (2022). Hierarchical confounder discovery in the experiment-machine learning cycle. Patterns. 3(4). 100451–100451. 1 indexed citations

Abbott, L. F., et al.. (2021). Thalamic control of cortical dynamics in a model of flexible motor sequencing. Cell Reports. 35(9). 109090–109090. 61 indexed citations

Murray, James & G. Sean Escola. (2020). Remembrance of things practiced with fast and slow learning in cortical and subcortical pathways. Nature Communications. 11(1). 6441–6441. 21 indexed citations

DePasquale, Brian, Christopher J. Cueva, Kanaka Rajan, G. Sean Escola, & L. F. Abbott. (2018). full-FORCE: A target-based method for training recurrent networks. PLoS ONE. 13(2). e0191527–e0191527. 73 indexed citations

Murray, James & G. Sean Escola. (2017). Learning multiple variable-speed sequences in striatum via cortical tutoring. eLife. 6. 53 indexed citations

10.

Escola, G. Sean, Alfredo Fontanini, Donald B. Katz, & Liam Paninski. (2011). Hidden Markov Models for the Stimulus-Response Relationships of Multistate Neural Systems. Neural Computation. 23(5). 1071–1132. 41 indexed citations

11.

Escola, G. Sean, et al.. (2009). Maximally Reliable Markov Chains Under Energy Constraints. Neural Computation. 21(7). 1863–1912. 5 indexed citations

12.

Nemenman, Ilya, G. Sean Escola, William S. Hlavacek, et al.. (2007). Reconstruction of Metabolic Networks from High‐Throughput Metabolite Profiling Data. Annals of the New York Academy of Sciences. 1115(1). 102–115. 14 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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