Ted Brookings
Impact in
- Cognitive Neuroscience top 5%
- Neural dynamics and brain function
- Memory and Neural Mechanisms
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- Neuroscience and Neuropharmacology Research
- Neurobiology and Insect Physiology Research
- Photoreceptor and optogenetics research
- Neuroscience and Neural Engineering
Papers in
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- Neural dynamics and brain function 9
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- Neuroscience and Neural Engineering 3
- Neuroscience and Neuropharmacology Research 2
- Photoreceptor and optogenetics research 2
- Neurobiology and Insect Physiology Research 2
- Co-authors
- Eve Marder (5 shared papers)Yoram Burak (1 shared paper)Ila Fiete (1 shared paper)Rachel Grashow (3 shared papers)Patrick Ogle (1 shared paper)Herman L. Marshall (1 shared paper)C. R. Canizares (1 shared paper)T Szabo (1 shared paper)
- Journals
- Journal of Neurophysiology (2 papers)Journal of Neuroscience (2 papers)NeuroImage (1 paper)Biomedical Optics Express (1 paper)eLife (1 paper)
- Partner nations
- United StatesChina
In The Last Decade
Ted Brookings
12 papers receiving 573 citations
Peers
Comparison fields: 5 of 78
- Cognitive Neuroscience 338
- Cellular and Molecular Neuroscience 300
- Astronomy and Astrophysics 76
- Sensory Systems 18
- Statistical and Nonlinear Physics 41
Countries citing papers authored by Ted Brookings
This map shows the geographic impact of Ted Brookings'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 Ted Brookings with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Ted Brookings more than expected).
Fields of papers citing papers by Ted Brookings
This network shows the impact of papers produced by Ted Brookings. 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 Ted Brookings. The network helps show where Ted Brookings may publish in the future.
Co-authors
The 23 scholars most cited alongside Ted Brookings, 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 | 2008 | 169 | |
| 2 | 2010 | 87 | |
| 3 | 2003 | 80 | |
| 4 | 2009 | 65 | |
| 5 | 2008 | 48 | |
| 6 | 2019 | 31 | |
| 7 | 2017 | 27 | |
| 8 | 2008 | 24 | |
| 9 | 2017 | 22 | |
| 10 | 2014 | 20 | |
| 11 | 2005 | 9 | |
| 12 | 2012 | 5 |
About Ted Brookings
Ted Brookings is a scholar working on Cognitive Neuroscience, Cellular and Molecular Neuroscience, Statistical and Nonlinear Physics, Artificial Intelligence and Molecular Biology, having authored 12 papers that have together received 587 indexed citations. Recurring topics across this work include Neural dynamics and brain function (9 papers), Neuroscience and Neural Engineering (3 papers), Neural Networks and Applications (2 papers), Neuroscience and Neuropharmacology Research (2 papers), Photoreceptor and optogenetics research (2 papers), Neurobiology and Insect Physiology Research (2 papers), Complex Network Analysis Techniques (1 paper) and Advanced X-ray Imaging Techniques (1 paper). The work is most often cited by research in Cognitive Neuroscience (338 citations), Cellular and Molecular Neuroscience (300 citations), Astronomy and Astrophysics (76 citations), Sensory Systems (18 citations) and Statistical and Nonlinear Physics (41 citations). Ted Brookings has collaborated with scholars based in United States and China. Frequent co-authors include Eve Marder, Yoram Burak, Ila Fiete, Rachel Grashow, Patrick Ogle, Herman L. Marshall, C. R. Canizares, T Szabo, Thomas Preuss and Donald S. Faber. Their work appears in journals such as Journal of Neurophysiology, Journal of Neuroscience, NeuroImage, Biomedical Optics Express and eLife.
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.