Adrian Nestor
- Cognitive Neuroscience top 2%
- Computer Vision and Pattern Recognition top 5%
- Experimental and Cognitive Psychology top 5%
- Social Psychology
- Developmental and Educational Psychology
- Co-authors
- Marlene BehrmannDavid C. PlautMichael J. TarrDan NemrodovMatthias NiemeierJean M. VettelAndy LeeMark D. Vida
- Topics
- Face Recognition and Perception (27 papers)Neural dynamics and brain function (14 papers)Visual perception and processing mechanisms (11 papers)
- Cited by
- Cognitive NeuroscienceExperimental and Cognitive PsychologyComputer Vision and Pattern Recognition
- Partner nations
- CanadaUnited StatesSpain
In The Last Decade
Adrian Nestor
36 papers receiving 853 citations
Peers
Comparison fields: 5 of 64
- Cognitive Neuroscience 799
- Computer Vision and Pattern Recognition 253
- Experimental and Cognitive Psychology 248
- Social Psychology 71
- Developmental and Educational Psychology 42
Countries citing papers authored by Adrian Nestor
This map shows the geographic impact of Adrian Nestor'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 Adrian Nestor with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Adrian Nestor more than expected).
Fields of papers citing papers by Adrian Nestor
This network shows the impact of papers produced by Adrian Nestor. 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 Adrian Nestor. The network helps show where Adrian Nestor may publish in the future.
Co-authorship network of co-authors of Adrian Nestor
This figure shows the co-authorship network connecting the top 25 collaborators of Adrian Nestor. A scholar is included among the top collaborators of Adrian Nestor 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 Adrian Nestor. Adrian Nestor 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 | 0 | |
| 3 | 0 | |
| 4 | 0 | |
| 5 | 2 | |
| 6 | 3 | |
| 7 | 4 | |
| 8 | 2 | |
| 9 | 3 | |
| 10 | 7 | |
| 11 | 3 | |
| 12 | 14 | |
| 13 | 7 | |
| 14 | 14 | |
| 15 | 27 | |
| 16 | 55 | |
| 17 | 51 | |
| 18 | 74 | |
| 19 | 61 | |
| 20 | 15 |
About Adrian Nestor
Adrian Nestor is a scholar working on Cognitive Neuroscience, Computer Vision and Pattern Recognition and Experimental and Cognitive Psychology, having authored 40 papers that have together received 868 indexed citations. Recurring topics across this work include Face Recognition and Perception (27 papers), Neural dynamics and brain function (14 papers) and Visual perception and processing mechanisms (11 papers). The work is most often cited by research in Cognitive Neuroscience (799 citations), Experimental and Cognitive Psychology (248 citations) and Computer Vision and Pattern Recognition (253 citations). Adrian Nestor has collaborated with scholars based in Canada, United States and Spain. Frequent co-authors include Marlene Behrmann, David C. Plaut, Michael J. Tarr, Dan Nemrodov, Matthias Niemeier, Jean M. Vettel, Andy Lee, Mark D. Vida, Jonathan S. Cant and Jonathan Tay. Their work appears in journals such as Proceedings of the National Academy of Sciences, Journal of Neuroscience and PLoS ONE.
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.