S L Happy

17 papers and 599 indexed citations i.

About

S L Happy is a scholar working on Computer Vision and Pattern Recognition, Experimental and Cognitive Psychology and Cognitive Neuroscience. According to data from OpenAlex, S L Happy has authored 17 papers receiving a total of 599 indexed citations (citations by other indexed papers that have themselves been cited), including 15 papers in Computer Vision and Pattern Recognition, 11 papers in Experimental and Cognitive Psychology and 4 papers in Cognitive Neuroscience. Recurrent topics in S L Happy’s work include Face and Expression Recognition (11 papers), Emotion and Mood Recognition (9 papers) and Face recognition and analysis (6 papers). S L Happy is often cited by papers focused on Face and Expression Recognition (11 papers), Emotion and Mood Recognition (9 papers) and Face recognition and analysis (6 papers). S L Happy collaborates with scholars based in India, France and China. S L Happy's co-authors include Aurobinda Routray, Anirban Dasgupta, Anjith George, François Brémond, Antitza Dantcheva, Pierre Alliez, Yuliya Tarabalka, Monalisa Sarma, Abhijit Das and Philippe Robert and has published in prestigious journals such as IEEE Transactions on Geoscience and Remote Sensing, IEEE Transactions on Intelligent Transportation Systems and Pattern Recognition Letters.

In The Last Decade

Co-authorship network of co-authors of S L Happy i

Fields of papers citing papers by S L Happy

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by S L Happy. 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 S L Happy. The network helps show where S L Happy may publish in the future.

Countries citing papers authored by S L Happy

Since Specialization
Citations

This map shows the geographic impact of S L Happy'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 S L Happy with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites S L Happy 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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2025