Barry J. Richmond
- Cognitive Neuroscience top 0.1%
- Cellular and Molecular Neuroscience top 0.5%
- Molecular Biology top 10%
- Artificial Intelligence top 2%
- Neurology top 1%
- Co-authors
- Lance M. OpticanFred C. ChuStuart J. JudgeMunetaka ShidaraSébastien BouretHedva SpitzerElisabeth A. MurrayTroels W. Kjær
- Topics
- Neural dynamics and brain function (84 papers)Visual perception and processing mechanisms (42 papers)Neural and Behavioral Psychology Studies (33 papers)
- Partner nations
- United StatesJapanCzechia
In The Last Decade
Barry J. Richmond
129 papers receiving 8.4k citations
Hit Papers
Peers
Comparison fields: 5 of 191
- Cognitive Neuroscience 6.9k
- Cellular and Molecular Neuroscience 3.0k
- Molecular Biology 963
- Artificial Intelligence 586
- Neurology 544
Countries citing papers authored by Barry J. Richmond
This map shows the geographic impact of Barry J. Richmond'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 Barry J. Richmond with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Barry J. Richmond more than expected).
Fields of papers citing papers by Barry J. Richmond
This network shows the impact of papers produced by Barry J. Richmond. 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 Barry J. Richmond. The network helps show where Barry J. Richmond may publish in the future.
Co-authorship network of co-authors of Barry J. Richmond
This figure shows the co-authorship network connecting the top 25 collaborators of Barry J. Richmond. A scholar is included among the top collaborators of Barry J. Richmond 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 Barry J. Richmond. Barry J. Richmond is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 0 | |
| 2 | 3 | |
| 3 | 2 | |
| 4 | 10 | |
| 5 | 96 | |
| 6 | 5 | |
| 7 | 11 | |
| 8 | 43 | |
| 9 | 24 | |
| 10 | 13 | |
| 11 | 15 | |
| 12 | A symmetric virtual reconstruction of OH5. | 1 |
| 13 | 10 | |
| 14 | 19 | |
| 15 | 64 | |
| 16 | 31 | |
| 17 | 79 | |
| 18 | 57 | |
| 19 | Accurately predicting precisely replicating spike patterns in neural responses of monkey striate cortex and LGN | 2 |
| 20 | 97 |
About Barry J. Richmond
Barry J. Richmond is a scholar working on Cognitive Neuroscience, Cellular and Molecular Neuroscience and Sensory Systems, having authored 133 papers that have together received 8.7k indexed citations. Recurring topics across this work include Neural dynamics and brain function (84 papers), Visual perception and processing mechanisms (42 papers) and Neural and Behavioral Psychology Studies (33 papers). The work is most often cited by research in Cognitive Neuroscience (6.9k citations), Cellular and Molecular Neuroscience (3.0k citations) and Sensory Systems (537 citations). Barry J. Richmond has collaborated with scholars based in United States, Japan and Czechia. Frequent co-authors include Lance M. Optican, Fred C. Chu, Stuart J. Judge, Munetaka Shidara, Sébastien Bouret, Hedva Spitzer, Elisabeth A. Murray, Troels W. Kjær, Matthew C. Wiener and Thomas Aigner. Their work appears in journals such as Science, Proceedings of the National Academy of Sciences and Nature Communications.
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.