Nikhil Churamani

17 papers and 245 indexed citations i.

About

Nikhil Churamani is a scholar working on Experimental and Cognitive Psychology, Artificial Intelligence and Computer Vision and Pattern Recognition. According to data from OpenAlex, Nikhil Churamani has authored 17 papers receiving a total of 245 indexed citations (citations by other indexed papers that have themselves been cited), including 13 papers in Experimental and Cognitive Psychology, 8 papers in Artificial Intelligence and 7 papers in Computer Vision and Pattern Recognition. Recurrent topics in Nikhil Churamani’s work include Emotion and Mood Recognition (12 papers), Social Robot Interaction and HRI (7 papers) and Face recognition and analysis (4 papers). Nikhil Churamani is often cited by papers focused on Emotion and Mood Recognition (12 papers), Social Robot Interaction and HRI (7 papers) and Face recognition and analysis (4 papers). Nikhil Churamani collaborates with scholars based in United Kingdom, Germany and Italy. Nikhil Churamani's co-authors include Hatice Güneş, Pablo Barros, Stefan Wermter, Alessandra Sciutti, Henrique Siqueira, Sinan Kalkan, Erik Strahl, Matthias Kerzel, Angelica Lim and Pau Rodríguez and has published in prestigious journals such as Artificial Intelligence, IEEE Transactions on Affective Computing and Frontiers in Robotics and AI.

In The Last Decade

Co-authorship network of co-authors of Nikhil Churamani i

Fields of papers citing papers by Nikhil Churamani

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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.

Countries citing papers authored by Nikhil Churamani

Since Specialization
Citations

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).

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.

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