Nikhil Churamani
- Social Psychology top 10%
- Artificial Intelligence top 10%
- Computer Vision and Pattern Recognition top 10%
- Experimental and Cognitive Psychology top 10%
- Cognitive Neuroscience
- Co-authors
- Hatice GüneşPablo BarrosStefan WermterErik StrahlSinan KalkanAlessandra SciuttiMatthias KerzelWaleed Mustafa
- Topics
- Emotion and Mood Recognition (10 papers)Social Robot Interaction and HRI (10 papers)Reinforcement Learning in Robotics (4 papers)
- Partner nations
- United KingdomGermanyItaly
In The Last Decade
Nikhil Churamani
19 papers receiving 309 citations
Peers
Comparison fields: 5 of 54
- Social Psychology 140
- Artificial Intelligence 125
- Computer Vision and Pattern Recognition 109
- Experimental and Cognitive Psychology 95
- Cognitive Neuroscience 44
Countries citing papers authored by Nikhil Churamani
This map shows the geographic impact of Nikhil Churamani'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 Nikhil Churamani with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Nikhil Churamani more than expected).
Fields of papers citing papers by Nikhil Churamani
This network shows the impact of papers produced by Nikhil Churamani. 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 Nikhil Churamani. The network helps show where Nikhil Churamani may publish in the future.
Co-authorship network of co-authors of Nikhil Churamani
This figure shows the co-authorship network connecting the top 25 collaborators of Nikhil Churamani. A scholar is included among the top collaborators of Nikhil Churamani 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 Nikhil Churamani. Nikhil Churamani is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 1 | |
| 2 | 0 | |
| 3 | 1 | |
| 4 | 1 | |
| 5 | 3 | |
| 6 | 2 | |
| 7 | 23 | |
| 8 | 15 | |
| 9 | 15 | |
| 10 | 28 | |
| 11 | 16 | |
| 12 | 29 | |
| 13 | 4 | |
| 14 | 29 | |
| 15 | 29 | |
| 16 | 21 | |
| 17 | 21 | |
| 18 | 10 | |
| 19 | 39 | |
| 20 | 22 |
About Nikhil Churamani
Nikhil Churamani is a scholar working on Experimental and Cognitive Psychology, Social Psychology and Computer Vision and Pattern Recognition, having authored 20 papers that have together received 309 indexed citations. Recurring topics across this work include Emotion and Mood Recognition (10 papers), Social Robot Interaction and HRI (10 papers) and Reinforcement Learning in Robotics (4 papers). The work is most often cited by research in Experimental and Cognitive Psychology (95 citations), Social Psychology (140 citations) and Applied Psychology (28 citations). Nikhil Churamani has collaborated with scholars based in United Kingdom, Germany and Italy. Frequent co-authors include Hatice Güneş, Pablo Barros, Stefan Wermter, Erik Strahl, Sinan Kalkan, Alessandra Sciutti, Matthias Kerzel, Waleed Mustafa, Nicolás Navarro-Guerrero and Cornelius Weber. Their work appears in journals such as IEEE Transactions on Affective Computing, Frontiers in Robotics and AI and SN Computer Science.
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.