Carol L. Colby
- Cognitive Neuroscience top 0.1%
- Experimental and Cognitive Psychology top 1%
- Social Psychology top 1%
- Molecular Biology top 10%
- Cellular and Molecular Neuroscience top 2%
- Co-authors
- Michael E. GoldbergJean‐René DuhamelKae NakamuraElisha P. MerriamChristopher R. GenoveseDavid MelcherPeter H. SchillerCarl R. Olson
- Topics
- Visual perception and processing mechanisms (37 papers)Neural dynamics and brain function (25 papers)Retinal Development and Disorders (14 papers)
- Partner nations
- United StatesFranceItaly
In The Last Decade
Carol L. Colby
42 papers receiving 8.1k citations
Hit Papers
Peers
Comparison fields: 5 of 122
- Cognitive Neuroscience 7.7k
- Experimental and Cognitive Psychology 1.0k
- Social Psychology 967
- Molecular Biology 860
- Cellular and Molecular Neuroscience 699
Countries citing papers authored by Carol L. Colby
This map shows the geographic impact of Carol L. Colby'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 Carol L. Colby with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Carol L. Colby more than expected).
Fields of papers citing papers by Carol L. Colby
This network shows the impact of papers produced by Carol L. Colby. 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 Carol L. Colby. The network helps show where Carol L. Colby may publish in the future.
Co-authorship network of co-authors of Carol L. Colby
This figure shows the co-authorship network connecting the top 25 collaborators of Carol L. Colby. A scholar is included among the top collaborators of Carol L. Colby 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 Carol L. Colby. Carol L. Colby is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 23 | |
| 2 | 221 | |
| 3 | 47 | |
| 4 | 24 | |
| 5 | 143 | |
| 6 | 29 | |
| 7 | 65 | |
| 8 | 28 | |
| 9 | 25 | |
| 10 | 327 | |
| 11 | 67 | |
| 12 | 144 | |
| 13 | 226 | |
| 14 | Ventral Intraparietal Area of the Macaque: Congruent Visual and Somatic Response Propertiesbreakdown → | 598 |
| 15 | 165 | |
| 16 | 245 | |
| 17 | 53 | |
| 18 | 23 | |
| 19 | 353 | |
| 20 | 18 |
About Carol L. Colby
Carol L. Colby is a scholar working on Cognitive Neuroscience, Sensory Systems and Experimental and Cognitive Psychology, having authored 42 papers that have together received 8.3k indexed citations. Recurring topics across this work include Visual perception and processing mechanisms (37 papers), Neural dynamics and brain function (25 papers) and Retinal Development and Disorders (14 papers). The work is most often cited by research in Cognitive Neuroscience (7.7k citations), Neurology (685 citations) and Experimental and Cognitive Psychology (1.0k citations). Carol L. Colby has collaborated with scholars based in United States, France and Italy. Frequent co-authors include Michael E. Goldberg, Jean‐René Duhamel, Kae Nakamura, Elisha P. Merriam, Christopher R. Genovese, David Melcher, Peter H. Schiller, Carl R. Olson, Charles G. Gross and Rebecca A. Berman. Their work appears in journals such as Science, 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.