Anitha Pasupathy
- Cognitive Neuroscience top 0.5%
- Cellular and Molecular Neuroscience top 5%
- Computer Vision and Pattern Recognition top 2%
- Social Psychology top 5%
- Experimental and Cognitive Psychology top 5%
- Co-authors
- Charles E. ConnorEarl K. MillerScott L. BrincatWyeth BairMark H. HistedYasmine El-ShamaylehMinjoon KouhMaximilian Riesenhuber
- Topics
- Visual perception and processing mechanisms (36 papers)Neural dynamics and brain function (34 papers)Face Recognition and Perception (20 papers)
- Cited by
- Cognitive NeuroscienceCellular and Molecular NeuroscienceComputer Vision and Pattern Recognition
- Partner nations
- United StatesSpainJapan
In The Last Decade
Anitha Pasupathy
43 papers receiving 2.9k citations
Hit Papers
Peers
Comparison fields: 5 of 105
- Cognitive Neuroscience 2.7k
- Cellular and Molecular Neuroscience 527
- Computer Vision and Pattern Recognition 438
- Social Psychology 285
- Experimental and Cognitive Psychology 164
Countries citing papers authored by Anitha Pasupathy
This map shows the geographic impact of Anitha Pasupathy'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 Anitha Pasupathy with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Anitha Pasupathy more than expected).
Fields of papers citing papers by Anitha Pasupathy
This network shows the impact of papers produced by Anitha Pasupathy. 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 Anitha Pasupathy. The network helps show where Anitha Pasupathy may publish in the future.
Co-authorship network of co-authors of Anitha Pasupathy
This figure shows the co-authorship network connecting the top 25 collaborators of Anitha Pasupathy. A scholar is included among the top collaborators of Anitha Pasupathy 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 Anitha Pasupathy. Anitha Pasupathy is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 3 | |
| 2 | 2 | |
| 3 | 3 | |
| 4 | 3 | |
| 5 | 3 | |
| 6 | 43 | |
| 7 | 23 | |
| 8 | 21 | |
| 9 | 40 | |
| 10 | 8 | |
| 11 | 43 | |
| 12 | 47 | |
| 13 | 134 | |
| 14 | 133 | |
| 15 | 155 | |
| 16 | 44 | |
| 17 | Different time courses of learning-related activity in the prefrontal cortex and striatumbreakdown → | 535 |
| 18 | 1 | |
| 19 | 340 | |
| 20 | 29 |
About Anitha Pasupathy
Anitha Pasupathy is a scholar working on Cognitive Neuroscience, Geometry and Topology and Cellular and Molecular Neuroscience, having authored 43 papers that have together received 3.0k indexed citations. Recurring topics across this work include Visual perception and processing mechanisms (36 papers), Neural dynamics and brain function (34 papers) and Face Recognition and Perception (20 papers). The work is most often cited by research in Cognitive Neuroscience (2.7k citations), Cellular and Molecular Neuroscience (527 citations) and Computer Vision and Pattern Recognition (438 citations). Anitha Pasupathy has collaborated with scholars based in United States, Spain and Japan. Frequent co-authors include Charles E. Connor, Earl K. Miller, Scott L. Brincat, Wyeth Bair, Mark H. Histed, Yasmine El-Shamayleh, Minjoon Kouh, Maximilian Riesenhuber, Tomaso Poggio and Charles F. Cadieu. Their work appears in journals such as Nature, Proceedings of the National Academy of Sciences and Nature Communications.
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.