Avi Chaudhuri
- Cognitive Neuroscience top 1%
- Cellular and Molecular Neuroscience top 2%
- Molecular Biology
- Experimental and Cognitive Psychology top 5%
- Computer Vision and Pattern Recognition top 5%
- Co-authors
- Shahin ZangenehpourLeszek KaczmarekChang Hong LiuAlain MignaultCharles A. CollinMax S. CynaderThomas D. AlbrightJoanne A. Matsubara
- Topics
- Face Recognition and Perception (21 papers)Visual perception and processing mechanisms (19 papers)Retinal Development and Disorders (15 papers)
- Cited by
- Cognitive NeuroscienceCellular and Molecular NeuroscienceExperimental and Cognitive Psychology
- Partner nations
- CanadaUnited StatesUnited Kingdom
In The Last Decade
Avi Chaudhuri
55 papers receiving 2.1k citations
Peers
Comparison fields: 5 of 126
- Cognitive Neuroscience 1.3k
- Cellular and Molecular Neuroscience 761
- Molecular Biology 467
- Experimental and Cognitive Psychology 337
- Computer Vision and Pattern Recognition 289
Countries citing papers authored by Avi Chaudhuri
This map shows the geographic impact of Avi Chaudhuri'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 Avi Chaudhuri with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Avi Chaudhuri more than expected).
Fields of papers citing papers by Avi Chaudhuri
This network shows the impact of papers produced by Avi Chaudhuri. 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 Avi Chaudhuri. The network helps show where Avi Chaudhuri may publish in the future.
Co-authorship network of co-authors of Avi Chaudhuri
This figure shows the co-authorship network connecting the top 25 collaborators of Avi Chaudhuri. A scholar is included among the top collaborators of Avi Chaudhuri 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 Avi Chaudhuri. Avi Chaudhuri is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 4 | |
| 2 | 8 | |
| 3 | 22 | |
| 4 | 15 | |
| 5 | 48 | |
| 6 | 46 | |
| 7 | 39 | |
| 8 | “I Can’t See Your Eyes Well ‘Cause Your Nose is Too Short”: An Interactivity Account of Face Processing | 1 |
| 9 | 20 | |
| 10 | 27 | |
| 11 | 10 | |
| 12 | 27 | |
| 13 | 162 | |
| 14 | 90 | |
| 15 | 42 | |
| 16 | 59 | |
| 17 | 0 | |
| 18 | 58 | |
| 19 | 7 | |
| 20 | 33 |
About Avi Chaudhuri
Avi Chaudhuri is a scholar working on Cognitive Neuroscience, Developmental Neuroscience and Cellular and Molecular Neuroscience, having authored 56 papers that have together received 2.2k indexed citations. Recurring topics across this work include Face Recognition and Perception (21 papers), Visual perception and processing mechanisms (19 papers) and Retinal Development and Disorders (15 papers). The work is most often cited by research in Cognitive Neuroscience (1.3k citations), Cellular and Molecular Neuroscience (761 citations) and Experimental and Cognitive Psychology (337 citations). Avi Chaudhuri has collaborated with scholars based in Canada, United States and United Kingdom. Frequent co-authors include Shahin Zangenehpour, Leszek Kaczmarek, Chang Hong Liu, Alain Mignault, Charles A. Collin, Max S. Cynader, Thomas D. Albright, Joanne A. Matsubara, Bożena Kamińska and Pascal E. D. Lachance. Their work appears in journals such as Nature, Proceedings of the National Academy of Sciences and Journal of Biological Chemistry.
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.