Andrew M. Derrington
- Cognitive Neuroscience top 0.5%
- Cellular and Molecular Neuroscience top 2%
- Atomic and Molecular Physics, and Optics top 2%
- Molecular Biology top 10%
- Social Psychology top 2%
- Co-authors
- Peter LennieJohn KrauskopfDavid R. BadcockG. Bruce HenningAlbert F. FuchsSimon J. CropperBen S. WebbChris J. Tinsley
- Topics
- Visual perception and processing mechanisms (68 papers)Neural dynamics and brain function (44 papers)Color Science and Applications (20 papers)
- Partner nations
- United KingdomRussiaSpain
In The Last Decade
Andrew M. Derrington
83 papers receiving 4.3k citations
Hit Papers
Peers
Comparison fields: 5 of 102
- Cognitive Neuroscience 4.1k
- Cellular and Molecular Neuroscience 1.1k
- Atomic and Molecular Physics, and Optics 1.0k
- Molecular Biology 997
- Social Psychology 698
Countries citing papers authored by Andrew M. Derrington
This map shows the geographic impact of Andrew M. Derrington'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 Andrew M. Derrington with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Andrew M. Derrington more than expected).
Fields of papers citing papers by Andrew M. Derrington
This network shows the impact of papers produced by Andrew M. Derrington. 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 Andrew M. Derrington. The network helps show where Andrew M. Derrington may publish in the future.
Co-authorship network of co-authors of Andrew M. Derrington
This figure shows the co-authorship network connecting the top 25 collaborators of Andrew M. Derrington. A scholar is included among the top collaborators of Andrew M. Derrington 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 Andrew M. Derrington. Andrew M. Derrington is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 7 | |
| 2 | 8 | |
| 3 | The Physiology of Cognitive Processes | 7 |
| 4 | 17 | |
| 5 | 30 | |
| 6 | 73 | |
| 7 | Low contrast plaids are incoherent | 4 |
| 8 | 19 | |
| 9 | 24 | |
| 10 | No direction specific adaptation effects from moving contrast-modulated gratings | 2 |
| 11 | 20 | |
| 12 | 9 | |
| 13 | 40 | |
| 14 | 25 | |
| 15 | 6 | |
| 16 | 82 | |
| 17 | 102 | |
| 18 | 53 | |
| 19 | 20 | |
| 20 | Development of selectivity in kitten striate cortex [proceedings]. | 2 |
About Andrew M. Derrington
Andrew M. Derrington is a scholar working on Cognitive Neuroscience, Cellular and Molecular Neuroscience and Media Technology, having authored 85 papers that have together received 4.5k indexed citations. Recurring topics across this work include Visual perception and processing mechanisms (68 papers), Neural dynamics and brain function (44 papers) and Color Science and Applications (20 papers). The work is most often cited by research in Cognitive Neuroscience (4.1k citations), Cellular and Molecular Neuroscience (1.1k citations) and Social Psychology (698 citations). Andrew M. Derrington has collaborated with scholars based in United Kingdom, Russia and Spain. Frequent co-authors include Peter Lennie, John Krauskopf, David R. Badcock, G. Bruce Henning, Albert F. Fuchs, Simon J. Cropper, Ben S. Webb, Chris J. Tinsley, E. Colombo and Amanda Parker. Their work appears in journals such as Nature, NeuroImage and The Journal of Physiology.
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.