Shaiyan Keshvari
- Cognitive Neuroscience top 5%
- Computer Vision and Pattern Recognition top 10%
- Experimental and Cognitive Psychology
- Social Psychology
- Human-Computer Interaction
- Co-authors
- Ruth RosenholtzRonald van den BergWei JiDian YuVaidehi NatuAlice J. O’TooleVolker BlanzFang Jiang
- Topics
- Visual perception and processing mechanisms (6 papers)Face Recognition and Perception (4 papers)Visual Attention and Saliency Detection (4 papers)
- Cited by
- Cognitive NeuroscienceExperimental and Cognitive PsychologyComputer Vision and Pattern Recognition
- Partner nations
- United StatesNetherlandsBelgium
In The Last Decade
Shaiyan Keshvari
13 papers receiving 316 citations
Peers
Comparison fields: 5 of 43
- Cognitive Neuroscience 274
- Computer Vision and Pattern Recognition 93
- Experimental and Cognitive Psychology 66
- Social Psychology 39
- Human-Computer Interaction 10
Countries citing papers authored by Shaiyan Keshvari
This map shows the geographic impact of Shaiyan Keshvari'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 Shaiyan Keshvari with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Shaiyan Keshvari more than expected).
Fields of papers citing papers by Shaiyan Keshvari
This network shows the impact of papers produced by Shaiyan Keshvari. 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 Shaiyan Keshvari. The network helps show where Shaiyan Keshvari may publish in the future.
Co-authorship network of co-authors of Shaiyan Keshvari
This figure shows the co-authorship network connecting the top 25 collaborators of Shaiyan Keshvari. A scholar is included among the top collaborators of Shaiyan Keshvari 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 Shaiyan Keshvari. Shaiyan Keshvari 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 | 2 | |
| 3 | 26 | |
| 4 | 34 | |
| 5 | 7 | |
| 6 | 28 | |
| 7 | 3 | |
| 8 | 46 | |
| 9 | 71 | |
| 10 | 1 | |
| 11 | 1 | |
| 12 | 44 | |
| 13 | 1 | |
| 14 | 60 |
About Shaiyan Keshvari
Shaiyan Keshvari is a scholar working on General Decision Sciences, Cognitive Neuroscience and Computer Vision and Pattern Recognition, having authored 14 papers that have together received 324 indexed citations. Recurring topics across this work include Visual perception and processing mechanisms (6 papers), Face Recognition and Perception (4 papers) and Visual Attention and Saliency Detection (4 papers). The work is most often cited by research in Cognitive Neuroscience (274 citations), Experimental and Cognitive Psychology (66 citations) and Computer Vision and Pattern Recognition (93 citations). Shaiyan Keshvari has collaborated with scholars based in United States, Netherlands and Belgium. Frequent co-authors include Ruth Rosenholtz, Ronald van den Berg, Wei Ji, Dian Yu, Vaidehi Natu, Alice J. O’Toole, Volker Blanz, Fang Jiang, Jan P. Allebach and S. V. N. Vishwanathan. Their work appears in journals such as PLoS ONE, Journal of Cognitive Neuroscience and PLoS Computational Biology.
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.