Selene Mota

3 papers and 203 indexed citations i.

About

Selene Mota is a scholar working on Physiology, Computer Vision and Pattern Recognition and Social Psychology. According to data from OpenAlex, Selene Mota has authored 3 papers receiving a total of 203 indexed citations (citations by other indexed papers that have themselves been cited), including 1 paper in Physiology, 1 paper in Computer Vision and Pattern Recognition and 1 paper in Social Psychology. Recurrent topics in Selene Mota’s work include Cardiovascular and exercise physiology (1 paper), Gesture Recognition in Human-Computer Interaction (1 paper) and Teaching and Learning Programming (1 paper). Selene Mota is often cited by papers focused on Cardiovascular and exercise physiology (1 paper), Gesture Recognition in Human-Computer Interaction (1 paper) and Teaching and Learning Programming (1 paper). Selene Mota collaborates with scholars based in United States. Selene Mota's co-authors include Fahd Albinali, Jason Nawyn, Mary E. Rosenberger, Stephen Intille, William L. Haskell, Rosalind W. Picard, Ashish Kapoor, Henry Lieberman and Angela Chang and has published in prestigious journals such as Medicine & Science in Sports & Exercise, National Conference on Artificial Intelligence and Electronic workshops in computing.

In The Last Decade

Co-authorship network of co-authors of Selene Mota i

Fields of papers citing papers by Selene Mota

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Selene Mota. 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 Selene Mota. The network helps show where Selene Mota may publish in the future.

Countries citing papers authored by Selene Mota

Since Specialization
Citations

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

Explore authors with similar magnitude of impact

Rankless by CCL
2025