Himadri Mukherjee

38 papers and 472 indexed citations i.

About

Himadri Mukherjee is a scholar working on Artificial Intelligence, Signal Processing and Computer Vision and Pattern Recognition. According to data from OpenAlex, Himadri Mukherjee has authored 38 papers receiving a total of 472 indexed citations (citations by other indexed papers that have themselves been cited), including 17 papers in Artificial Intelligence, 15 papers in Signal Processing and 13 papers in Computer Vision and Pattern Recognition. Recurrent topics in Himadri Mukherjee’s work include Music and Audio Processing (13 papers), Speech and Audio Processing (11 papers) and Handwritten Text Recognition Techniques (10 papers). Himadri Mukherjee is often cited by papers focused on Music and Audio Processing (13 papers), Speech and Audio Processing (11 papers) and Handwritten Text Recognition Techniques (10 papers). Himadri Mukherjee collaborates with scholars based in India, United States and Finland. Himadri Mukherjee's co-authors include Kaushik Roy, Sk Md Obaidullah, KC Santosh, Ankita Dhar, Subhankar Ghosh, Santanu Phadikar, Mufti Mahmud, Nibaran Das, Koushik Majumder and Shibaprasad Sen and has published in prestigious journals such as IEEE Access, Neural Computing and Applications and Artificial Intelligence Review.

In The Last Decade

Co-authorship network of co-authors of Himadri Mukherjee i

Fields of papers citing papers by Himadri Mukherjee

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Himadri Mukherjee

Since Specialization
Citations

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