Dipti Prasad Mukherjee
- Computer Vision and Pattern Recognition top 1%
- Artificial Intelligence top 5%
- Media Technology top 2%
- Industrial and Manufacturing Engineering top 5%
- Radiology, Nuclear Medicine and Imaging
- Co-authors
- Angshuman PaulScott T. ActonAbhinandan GangopadhyaySaurabh KunduAppa Rao ChinthaPrasun DasSubhamoy MaitraSujoy Biswas
- Topics
- Medical Image Segmentation Techniques (16 papers)Face and Expression Recognition (11 papers)Image Retrieval and Classification Techniques (11 papers)
- Cited by
- Computer Vision and Pattern RecognitionMedia TechnologyIndustrial and Manufacturing Engineering
- Journals
- IEEE Transactions on Pattern Analysis and Machine IntelligenceIEEE Transactions on Geoscience and Remote SensingIEEE Transactions on Image Processing
- Partner nations
- IndiaUnited StatesCanada
In The Last Decade
Dipti Prasad Mukherjee
73 papers receiving 1.3k citations
Peers
Comparison fields: 5 of 153
- Computer Vision and Pattern Recognition 746
- Artificial Intelligence 377
- Media Technology 161
- Industrial and Manufacturing Engineering 138
- Radiology, Nuclear Medicine and Imaging 111
Countries citing papers authored by Dipti Prasad Mukherjee
This map shows the geographic impact of Dipti Prasad 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 Dipti Prasad Mukherjee with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Dipti Prasad Mukherjee more than expected).
Fields of papers citing papers by Dipti Prasad Mukherjee
This network shows the impact of papers produced by Dipti Prasad 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 Dipti Prasad Mukherjee. The network helps show where Dipti Prasad Mukherjee may publish in the future.
Co-authorship network of co-authors of Dipti Prasad Mukherjee
This figure shows the co-authorship network connecting the top 25 collaborators of Dipti Prasad Mukherjee. A scholar is included among the top collaborators of Dipti Prasad 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 Dipti Prasad Mukherjee. Dipti Prasad 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 | 7 | |
| 2 | 4 | |
| 3 | 4 | |
| 4 | 5 | |
| 5 | 19 | |
| 6 | 9 | |
| 7 | 9 | |
| 8 | 12 | |
| 9 | 1 | |
| 10 | 4 | |
| 11 | 28 | |
| 12 | 1 | |
| 13 | 2 | |
| 14 | 25 | |
| 15 | Segmentation of Images Using Level Set Analysis. | 1 |
| 16 | 86 | |
| 17 | 49 | |
| 18 | 18 | |
| 19 | 31 | |
| 20 | INCA - An Innovative Approach to Constructing Large-Scale Real-Time Expert Systems | 1 |
About Dipti Prasad Mukherjee
Dipti Prasad Mukherjee is a scholar working on Computer Vision and Pattern Recognition, Artificial Intelligence and Biophysics, having authored 76 papers that have together received 1.4k indexed citations. Recurring topics across this work include Medical Image Segmentation Techniques (16 papers), Face and Expression Recognition (11 papers) and Image Retrieval and Classification Techniques (11 papers). The work is most often cited by research in Computer Vision and Pattern Recognition (746 citations), Media Technology (161 citations) and Industrial and Manufacturing Engineering (138 citations). Dipti Prasad Mukherjee has collaborated with scholars based in India, United States and Canada. Frequent co-authors include Angshuman Paul, Scott T. Acton, Abhinandan Gangopadhyay, Saurabh Kundu, Appa Rao Chintha, Prasun Das, Subhamoy Maitra, Sujoy Biswas, Snehasis Mukherjee and Andrew Zisserman. Their work appears in journals such as IEEE Transactions on Pattern Analysis and Machine Intelligence, IEEE Transactions on Geoscience and Remote Sensing and IEEE Transactions on Image Processing.
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.