Malay K. Pakhira

13 papers and 710 indexed citations i.

About

Malay K. Pakhira is a scholar working on Artificial Intelligence, Computer Vision and Pattern Recognition and Computational Theory and Mathematics. According to data from OpenAlex, Malay K. Pakhira has authored 13 papers receiving a total of 710 indexed citations (citations by other indexed papers that have themselves been cited), including 12 papers in Artificial Intelligence, 6 papers in Computer Vision and Pattern Recognition and 3 papers in Computational Theory and Mathematics. Recurrent topics in Malay K. Pakhira’s work include Advanced Clustering Algorithms Research (8 papers), Metaheuristic Optimization Algorithms Research (5 papers) and Face and Expression Recognition (4 papers). Malay K. Pakhira is often cited by papers focused on Advanced Clustering Algorithms Research (8 papers), Metaheuristic Optimization Algorithms Research (5 papers) and Face and Expression Recognition (4 papers). Malay K. Pakhira collaborates with scholars based in India. Malay K. Pakhira's co-authors include Ujjwal Maulik, Sanghamitra Bandyopadhyay, Rajat K. De and Prasenjit Das and has published in prestigious journals such as Pattern Recognition, Fuzzy Sets and Systems and International Journal of Pattern Recognition and Artificial Intelligence.

In The Last Decade

Co-authorship network of co-authors of Malay K. Pakhira i

Fields of papers citing papers by Malay K. Pakhira

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Malay K. Pakhira. 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 Malay K. Pakhira. The network helps show where Malay K. Pakhira may publish in the future.

Countries citing papers authored by Malay K. Pakhira

Since Specialization
Citations

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