Jack Lindsey
Impact in
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- Neural dynamics and brain function
- EEG and Brain-Computer Interfaces
- Motor Control and Adaptation
- Functional Brain Connectivity Studies
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- Neuroscience and Neuropharmacology Research
Papers in
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- Neural dynamics and brain function 5
- Motor Control and Adaptation 2
- Memory and Neural Mechanisms 2
- Face Recognition and Perception 1
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- Neurotransmitter Receptor Influence on Behavior 2
- Co-authors
- Guang Chen (1 shared paper)Nuo Li (1 shared paper)Shaul Druckmann (1 shared paper)G. Sean Escola (2 shared papers)Bence P. Ölveczky (2 shared papers)Surya Ganguli (1 shared paper)Samuel A. Ocko (1 shared paper)Elias B. Issa (1 shared paper)
- Journals
- eLife (4 papers)Nature Neuroscience (2 papers)Nature (1 paper)Cell (1 paper)Cognitive Science (1 paper)
- Partner nations
- United StatesGermany
In The Last Decade
Jack Lindsey
10 papers receiving 102 citations
Peers
Comparison fields: 5 of 47
- Cognitive Neuroscience 64
- Cellular and Molecular Neuroscience 28
- Neuropsychology and Physiological Psychology 1
- Neurology 5
- Neurology 8
Countries citing papers authored by Jack Lindsey
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
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-authors
The 22 scholars most cited alongside Jack Lindsey, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2021 | 48 | |
| 2 | 2023 | 24 | |
| 3 | 2024 | 9 | |
| 4 | 2018 | 8 | |
| 5 | 2024 | 3 | |
| 6 | 2024 | 3 | |
| 7 | 2022 | 3 | |
| 8 | 2023 | 2 | |
| 9 | A cross-domain standard for representing timeseries data | 2015 | 1 |
| 10 | Semiparametric Reinforcement Learning | 2018 | 1 |
| 11 | 2025 | 1 | |
| 12 | Deep Semiparametric Learning | 2018 | 1 |
| 13 | A Neural Network Model of Complementary Learning Systems. | 2018 | 0 |
| 14 | 2026 | 0 | |
| 15 | 2025 | 0 |
About Jack Lindsey
Jack Lindsey is a scholar working on Cognitive Neuroscience, Cellular and Molecular Neuroscience, Artificial Intelligence, Electrical and Electronic Engineering and Molecular Biology, having authored 15 papers that have together received 104 indexed citations. Recurring topics across this work include Neural dynamics and brain function (5 papers), Motor Control and Adaptation (2 papers), Advanced Memory and Neural Computing (2 papers), Memory and Neural Mechanisms (2 papers), Neurotransmitter Receptor Influence on Behavior (2 papers), Ferroelectric and Negative Capacitance Devices (1 paper), Fuzzy Logic and Control Systems (1 paper) and Face Recognition and Perception (1 paper). The work is most often cited by research in Cognitive Neuroscience (64 citations), Cellular and Molecular Neuroscience (28 citations), Neuropsychology and Physiological Psychology (1 citation), Neurology (5 citations) and Neurology (8 citations). Jack Lindsey has collaborated with scholars based in United States and Germany. Frequent co-authors include Guang Chen, Nuo Li, Shaul Druckmann, G. Sean Escola, Bence P. Ölveczky, Surya Ganguli, Samuel A. Ocko, Elias B. Issa, James B. Aimone and Ashok Litwin-Kumar. Their work appears in journals such as eLife, Nature Neuroscience, Nature, Cell and Cognitive Science.
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.