Swapnaa Jayaraman
- Cognitive Neuroscience top 5%
- Developmental and Educational Psychology top 5%
- Social Psychology top 10%
- Experimental and Cognitive Psychology top 10%
- Computer Vision and Pattern Recognition top 10%
- Co-authors
- Linda B. SmithCaitlin M. FauseyElizabeth M. ClerkinChen YuNadine SarterThomas F. FerrisDaniel B. HornThomas A. Finholt
- Topics
- Face Recognition and Perception (4 papers)Child and Animal Learning Development (3 papers)Human-Automation Interaction and Safety (3 papers)
- Cited by
- Developmental and Educational PsychologyCognitive NeuroscienceExperimental and Cognitive Psychology
- Partner nations
- United StatesIran
In The Last Decade
Swapnaa Jayaraman
11 papers receiving 632 citations
Peers
Comparison fields: 5 of 78
- Cognitive Neuroscience 309
- Developmental and Educational Psychology 281
- Social Psychology 151
- Experimental and Cognitive Psychology 142
- Computer Vision and Pattern Recognition 105
Countries citing papers authored by Swapnaa Jayaraman
This map shows the geographic impact of Swapnaa Jayaraman'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 Swapnaa Jayaraman with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Swapnaa Jayaraman more than expected).
Fields of papers citing papers by Swapnaa Jayaraman
This network shows the impact of papers produced by Swapnaa Jayaraman. 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 Swapnaa Jayaraman. The network helps show where Swapnaa Jayaraman may publish in the future.
Co-authorship network of co-authors of Swapnaa Jayaraman
This figure shows the co-authorship network connecting the top 25 collaborators of Swapnaa Jayaraman. A scholar is included among the top collaborators of Swapnaa Jayaraman 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 Swapnaa Jayaraman. Swapnaa Jayaraman 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 | 1 | |
| 3 | 28 | |
| 4 | 162 | |
| 5 | 172 | |
| 6 | 52 | |
| 7 | 110 | |
| 8 | 8 | |
| 9 | 50 | |
| 10 | 11 | |
| 11 | 12 | |
| 12 | 46 |
About Swapnaa Jayaraman
Swapnaa Jayaraman is a scholar working on Cognitive Neuroscience, Computer Science Applications and Developmental and Educational Psychology, having authored 12 papers that have together received 652 indexed citations. Recurring topics across this work include Face Recognition and Perception (4 papers), Child and Animal Learning Development (3 papers) and Human-Automation Interaction and Safety (3 papers). The work is most often cited by research in Developmental and Educational Psychology (281 citations), Cognitive Neuroscience (309 citations) and Experimental and Cognitive Psychology (142 citations). Swapnaa Jayaraman has collaborated with scholars based in United States and Iran. Frequent co-authors include Linda B. Smith, Caitlin M. Fausey, Elizabeth M. Clerkin, Chen Yu, Nadine Sarter, Thomas F. Ferris, Daniel B. Horn, Thomas A. Finholt, Jeremy Birnholtz and Rick O. Gilmore. Their work appears in journals such as Proceedings of the National Academy of Sciences, PLoS ONE and Trends in Cognitive Sciences.
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.