William W. Lytton
- Cognitive Neuroscience top 0.5%
- Neural dynamics and brain function 89
- Memory and Neural Mechanisms 15
- Functional Brain Connectivity Studies 14
-
- Neuroscience and Neuropharmacology Research 50
- Neuroscience and Neural Engineering 41
- Photoreceptor and optogenetics research 13
- Biophysics top 2%
- Sensory Systems top 5%
-
- Advanced Memory and Neural Computing 29
-
- Gene Regulatory Network Analysis 12
- Co-authors
- Terrence J. SejnowskiSamuel A. NeymotinMichael L. HinesSalvador Durá-BernalAndré A. FentonRobert A. McDougalCliff C. KerrDaniel J. Uhlrich
- Journals
- Journal of Neuroscience (5 papers)Nature reviews. Neuroscience (1 paper)PLoS ONE (8 papers)
- Partner nations
- United StatesAustraliaCanada
In The Last Decade
William W. Lytton
142 papers receiving 3.4k citations
Hit Papers
Peers
Comparison fields: 5 of 172
- Cognitive Neuroscience 2.3k
- Cellular and Molecular Neuroscience 1.8k
- Biophysics 130
- Statistical and Nonlinear Physics 261
- Sensory Systems 90
Countries citing papers authored by William W. Lytton
This map shows the geographic impact of William W. Lytton'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 William W. Lytton with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites William W. Lytton more than expected).
Fields of papers citing papers by William W. Lytton
This network shows the impact of papers produced by William W. Lytton. 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 William W. Lytton. The network helps show where William W. Lytton may publish in the future.
Co-authorship network
The 25 scholars most cited alongside William W. Lytton, 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 | 2025 | 1 | |
| 2 | 2024 | 0 | |
| 3 | 2024 | 5 | |
| 4 | 2024 | 8 | |
| 5 | 2023 | 2 | |
| 6 | 2023 | 1 | |
| 7 | 2021 | 6 | |
| 8 | 2020 | 12 | |
| 9 | 2020 | 65 | |
| 10 | 2019 | 88 | |
| 11 | Integrating machine learning and multiscale modeling—perspectives, challenges, and opportunities in the biological, biomedical, and behavioral sciencesbreakdown → | 2019 | 405 |
| 12 | 2016 | 13 | |
| 13 | 2015 | 1 | |
| 14 | 2014 | 6 | |
| 15 | 2013 | 1 | |
| 16 | 2013 | 1 | |
| 17 | 2013 | 6 | |
| 18 | 2011 | 92 | |
| 19 | 2010 | 114 | |
| 20 | Neural Network Analysis of Event Related Potentials and Electroencephalogram Predicts Vigilance | 1991 | 4 |
About William W. Lytton
William W. Lytton is a scholar working on Cognitive Neuroscience, Cellular and Molecular Neuroscience and Biophysics, having authored 146 papers that have together received 3.5k indexed citations. Recurring topics across this work include Neural dynamics and brain function (89 papers), Neuroscience and Neuropharmacology Research (50 papers), Neuroscience and Neural Engineering (41 papers), Advanced Memory and Neural Computing (29 papers), Memory and Neural Mechanisms (15 papers), Functional Brain Connectivity Studies (14 papers), Photoreceptor and optogenetics research (13 papers) and Gene Regulatory Network Analysis (12 papers). The work is most often cited by research in Cognitive Neuroscience (2.3k citations), Cellular and Molecular Neuroscience (1.8k citations) and Biophysics (130 citations). William W. Lytton has collaborated with scholars based in United States, Australia and Canada. Frequent co-authors include Terrence J. Sejnowski, Samuel A. Neymotin, Michael L. Hines, Salvador Durá-Bernal, André A. Fenton, Robert A. McDougal, Cliff C. Kerr, Daniel J. Uhlrich, Joseph T. Francis and Jie Zhu. Their work appears in journals such as Journal of Neuroscience, Nature reviews. Neuroscience and PLoS ONE.
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.