Richard T. Born
- Cognitive Neuroscience top 0.2%
- Cellular and Molecular Neuroscience top 1%
- Molecular Biology top 10%
- Computer Vision and Pattern Recognition top 2%
- Political Science and International Relations top 2%
- Co-authors
- Christopher C. PackDavid C. BradleyRoger B. H. TootellRB TootellRafael MalachJ.B. ReppasKenneth K. KwongV. K. Berezovskii
- Topics
- Visual perception and processing mechanisms (43 papers)Neural dynamics and brain function (40 papers)Electoral Systems and Political Participation (17 papers)
- Partner nations
- United StatesCanadaAustralia
In The Last Decade
Richard T. Born
78 papers receiving 5.3k citations
Hit Papers
Peers
Comparison fields: 5 of 142
- Cognitive Neuroscience 4.5k
- Cellular and Molecular Neuroscience 1.2k
- Molecular Biology 816
- Computer Vision and Pattern Recognition 463
- Political Science and International Relations 409
Countries citing papers authored by Richard T. Born
This map shows the geographic impact of Richard T. Born'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 Richard T. Born with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Richard T. Born more than expected).
Fields of papers citing papers by Richard T. Born
This network shows the impact of papers produced by Richard T. Born. 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 Richard T. Born. The network helps show where Richard T. Born may publish in the future.
Co-authorship network of co-authors of Richard T. Born
This figure shows the co-authorship network connecting the top 25 collaborators of Richard T. Born. A scholar is included among the top collaborators of Richard T. Born 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 Richard T. Born. Richard T. Born is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 2 | |
| 2 | 3 | |
| 3 | 12 | |
| 4 | 6 | |
| 5 | 2 | |
| 6 | 125 | |
| 7 | 20 | |
| 8 | 26 | |
| 9 | 25 | |
| 10 | 16 | |
| 11 | 135 | |
| 12 | 16 | |
| 13 | 24 | |
| 14 | 19 | |
| 15 | 30 | |
| 16 | 1 | |
| 17 | 11 | |
| 18 | 279 | |
| 19 | 138 | |
| 20 | 28 |
About Richard T. Born
Richard T. Born is a scholar working on Cognitive Neuroscience, Cellular and Molecular Neuroscience and Political Science and International Relations, having authored 80 papers that have together received 5.5k indexed citations. Recurring topics across this work include Visual perception and processing mechanisms (43 papers), Neural dynamics and brain function (40 papers) and Electoral Systems and Political Participation (17 papers). The work is most often cited by research in Cognitive Neuroscience (4.5k citations), Cellular and Molecular Neuroscience (1.2k citations) and Sensory Systems (189 citations). Richard T. Born has collaborated with scholars based in United States, Canada and Australia. Frequent co-authors include Christopher C. Pack, David C. Bradley, Roger B. H. Tootell, RB Tootell, Rafael Malach, J.B. Reppas, Kenneth K. Kwong, V. K. Berezovskii, Jonathan J. Nassi and Jennifer M. Groh. Their work appears in journals such as Nature, Proceedings of the National Academy of Sciences and Neuron.
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.