Jack Lindsey

720 total citations
14 papers, 92 citations indexed

About

Jack Lindsey is a scholar working on Cognitive Neuroscience, Cellular and Molecular Neuroscience and Artificial Intelligence. According to data from OpenAlex, Jack Lindsey has authored 14 papers receiving a total of 92 indexed citations (citations by other indexed papers that have themselves been cited), including 7 papers in Cognitive Neuroscience, 4 papers in Cellular and Molecular Neuroscience and 2 papers in Artificial Intelligence. Recurrent topics in Jack Lindsey's work include Neural dynamics and brain function (5 papers), Motor Control and Adaptation (2 papers) and Advanced Memory and Neural Computing (2 papers). Jack Lindsey is often cited by papers focused on Neural dynamics and brain function (5 papers), Motor Control and Adaptation (2 papers) and Advanced Memory and Neural Computing (2 papers). Jack Lindsey collaborates with scholars based in United States and Germany. Jack Lindsey's co-authors include Guang Chen, Shaul Druckmann, Nuo Li, G. Sean Escola, Bence P. Ölveczky, Samuel A. Ocko, Surya Ganguli, Elias B. Issa, Stéphane Deny and Mika Sarkin Jain and has published in prestigious journals such as Nature, Cell and Nature Neuroscience.

In The Last Decade

Jack Lindsey

10 papers receiving 90 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Jack Lindsey United States	4	61	30	15	13	11	14	92
Charlotte Moerman United States	2	106 1.7×	26 0.9×	21 1.4×	14 1.1×	5 0.5×	2	144
Lyuba Zehl Germany	6	77 1.3×	32 1.1×	11 0.7×	23 1.8×	7 0.6×	8	122
Taliah Muhammad Germany	3	110 1.8×	39 1.3×	13 0.9×	11 0.8×	19 1.7×	5	130
Kate Roll United States	5	75 1.2×	47 1.6×	6 0.4×	11 0.8×	14 1.3×	7	109
Eric S. Kuebler Canada	5	55 0.9×	32 1.1×	4 0.3×	5 0.4×	9 0.8×	8	76
Amanda LeBel United States	4	126 2.1×	10 0.3×	25 1.7×	12 0.9×	6 0.5×	5	188
Aishwarya Parthasarathy Singapore	4	194 3.2×	38 1.3×	22 1.5×	19 1.5×	6 0.5×	4	208
Tiago Marques Portugal	5	98 1.6×	67 2.2×	10 0.7×	8 0.6×	22 2.0×	10	155
Erick Cobos Germany	3	86 1.4×	31 1.0×	15 1.0×	9 0.7×	14 1.3×	5	109
Michael Gevaert Switzerland	5	75 1.2×	41 1.4×	6 0.4×	20 1.5×	22 2.0×	5	120

Countries citing papers authored by Jack Lindsey

Since Specialization

Citations

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

Fields of papers citing papers by Jack Lindsey

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Jack Lindsey. 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 Jack Lindsey. The network helps show where Jack Lindsey may publish in the future.

Co-authorship network of co-authors of Jack Lindsey

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

All Works

Sort: Min cites: Since: Top N: Style:

14 of 14 papers shown

1.

Vu, Mai-Anh, et al.. (2026). Striatum-wide dopamine encodes trajectory errors separated from value. Nature.

2.

Lindsey, Jack, Jeffrey E. Markowitz, Winthrop F. Gillis, Sandeep Robert Datta, & Ashok Litwin-Kumar. (2025). Dynamics of striatal action selection and reinforcement learning. eLife. 13. 1 indexed citations

3.

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

4.

Lindsey, Jack, Jeffrey E. Markowitz, Winthrop F. Gillis, Sandeep Robert Datta, & Ashok Litwin-Kumar. (2024). Dynamics of striatal action selection and reinforcement learning. eLife. 13. 3 indexed citations

5.

Lindsey, Jack & Elias B. Issa. (2024). Factorized visual representations in the primate visual system and deep neural networks. eLife. 13. 3 indexed citations

6.

Lindsey, Jack & Ashok Litwin-Kumar. (2023). Selective consolidation of learning and memory via recall-gated plasticity. eLife. 12. 1 indexed citations

7.

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

8.

Lindsey, Jack & James B. Aimone. (2022). Sequence Learning and Consolidation on Loihi using On-chip Plasticity. 70–72. 2 indexed citations

9.

Chen, Guang, et al.. (2021). Modularity and robustness of frontal cortical networks. Cell. 184(14). 3717–3730.e24. 44 indexed citations

10.

Jain, Mika Sarkin & Jack Lindsey. (2018). A Neural Network Model of Complementary Learning Systems.. Cognitive Science.

11.

Jain, Mika Sarkin & Jack Lindsey. (2018). Semiparametric Reinforcement Learning. International Conference on Learning Representations. 1 indexed citations

12.

Ocko, Samuel A., Jack Lindsey, Surya Ganguli, & Stéphane Deny. (2018). The emergence of multiple retinal cell types through efficient coding of natural movies. bioRxiv (Cold Spring Harbor Laboratory). 31. 9389–9400. 8 indexed citations

13.

Jain, Mika Sarkin & Jack Lindsey. (2018). Deep Semiparametric Learning. 1 indexed citations

14.

Taylor, Peter, et al.. (2015). A cross-domain standard for representing timeseries data. 995. 1 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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