Madhumita A. Takalkar

5 papers and 222 indexed citations i.

About

Madhumita A. Takalkar is a scholar working on Computer Vision and Pattern Recognition, Experimental and Cognitive Psychology and Artificial Intelligence. According to data from OpenAlex, Madhumita A. Takalkar has authored 5 papers receiving a total of 222 indexed citations (citations by other indexed papers that have themselves been cited), including 5 papers in Computer Vision and Pattern Recognition, 5 papers in Experimental and Cognitive Psychology and 1 paper in Artificial Intelligence. Recurrent topics in Madhumita A. Takalkar’s work include Emotion and Mood Recognition (5 papers), Face and Expression Recognition (4 papers) and Gesture Recognition in Human-Computer Interaction (1 paper). Madhumita A. Takalkar is often cited by papers focused on Emotion and Mood Recognition (5 papers), Face and Expression Recognition (4 papers) and Gesture Recognition in Human-Computer Interaction (1 paper). Madhumita A. Takalkar collaborates with scholars based in Australia and China. Madhumita A. Takalkar's co-authors include Min Xu, Zenon Chaczko, Qiang Wu, Haimin Zhang, Sutharshan Rajasegarar, John Yearwood and Selvarajah Thuseethan and has published in prestigious journals such as Neurocomputing, Knowledge-Based Systems and Multimedia Tools and Applications.

In The Last Decade

Co-authorship network of co-authors of Madhumita A. Takalkar i

Fields of papers citing papers by Madhumita A. Takalkar

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Madhumita A. Takalkar. 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 Madhumita A. Takalkar. The network helps show where Madhumita A. Takalkar may publish in the future.

Countries citing papers authored by Madhumita A. Takalkar

Since Specialization
Citations

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