Himadri Mukherjee
- Artificial Intelligence top 5%
- Radiology, Nuclear Medicine and Imaging top 10%
- Signal Processing top 5%
- Computer Vision and Pattern Recognition top 10%
- Pulmonary and Respiratory Medicine
- Co-authors
- Kaushik RoySk Md ObaidullahKC SantoshAnkita DharSubhankar GhoshSantanu PhadikarMridul GhoshNibaran Das
- Topics
- Music and Audio Processing (17 papers)Speech and Audio Processing (15 papers)Handwritten Text Recognition Techniques (12 papers)
- Partner nations
- IndiaUnited StatesUnited Arab Emirates
In The Last Decade
Himadri Mukherjee
45 papers receiving 620 citations
Peers
Comparison fields: 5 of 94
- Artificial Intelligence 315
- Radiology, Nuclear Medicine and Imaging 202
- Signal Processing 136
- Computer Vision and Pattern Recognition 134
- Pulmonary and Respiratory Medicine 76
Countries citing papers authored by Himadri Mukherjee
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).
Fields of papers citing papers by Himadri Mukherjee
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.
Co-authorship network of co-authors of Himadri Mukherjee
This figure shows the co-authorship network connecting the top 25 collaborators of Himadri Mukherjee. A scholar is included among the top collaborators of Himadri Mukherjee based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Himadri Mukherjee. Himadri Mukherjee is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 3 | |
| 2 | 0 | |
| 3 | 1 | |
| 4 | 19 | |
| 5 | 42 | |
| 6 | 68 | |
| 7 | 10 | |
| 8 | 11 | |
| 9 | 13 | |
| 10 | 4 | |
| 11 | 3 | |
| 12 | 138 | |
| 13 | 8 | |
| 14 | 66 | |
| 15 | 6 | |
| 16 | 3 | |
| 17 | 5 | |
| 18 | 7 | |
| 19 | 9 | |
| 20 | 9 |
About Himadri Mukherjee
Himadri Mukherjee is a scholar working on Signal Processing, Computer Vision and Pattern Recognition and Issues, ethics and legal aspects, having authored 49 papers that have together received 643 indexed citations. Recurring topics across this work include Music and Audio Processing (17 papers), Speech and Audio Processing (15 papers) and Handwritten Text Recognition Techniques (12 papers). The work is most often cited by research in Health Informatics (36 citations), Signal Processing (136 citations) and Artificial Intelligence (315 citations). Himadri Mukherjee has collaborated with scholars based in India, United States and United Arab Emirates. Frequent co-authors include Kaushik Roy, Sk Md Obaidullah, KC Santosh, Ankita Dhar, Subhankar Ghosh, Santanu Phadikar, Mridul Ghosh, Nibaran Das, Mufti Mahmud and Ishita Bhakta. Their work appears in journals such as IEEE Access, Neural Computing and Applications and Artificial Intelligence Review.
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.