Jayanta Mukherjee
- Computer Vision and Pattern Recognition top 1%
- Biomedical Engineering top 10%
- Media Technology top 2%
- Signal Processing top 5%
- Artificial Intelligence top 10%
- Co-authors
- Shamik SuralSushmita MitraS.K. MitraAditi RoyPratik ChattopadhyayPartha Pratim DasΒ.N. ChatterjiA.K. Majumdar
- Topics
- Digital Image Processing Techniques (18 papers)Medical Image Segmentation Techniques (18 papers)Image and Signal Denoising Methods (13 papers)
- Journals
- SHILAP Revista de lepidopterologíaIEEE Transactions on Image ProcessingIEEE Access
- Partner nations
- IndiaUnited StatesGermany
In The Last Decade
Jayanta Mukherjee
138 papers receiving 1.6k citations
Peers
Comparison fields: 5 of 136
- Computer Vision and Pattern Recognition 1.1k
- Biomedical Engineering 322
- Media Technology 230
- Signal Processing 207
- Artificial Intelligence 178
Countries citing papers authored by Jayanta Mukherjee
This map shows the geographic impact of Jayanta 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 Jayanta Mukherjee with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Jayanta Mukherjee more than expected).
Fields of papers citing papers by Jayanta Mukherjee
This network shows the impact of papers produced by Jayanta 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 Jayanta Mukherjee. The network helps show where Jayanta Mukherjee may publish in the future.
Co-authorship network of co-authors of Jayanta Mukherjee
This figure shows the co-authorship network connecting the top 25 collaborators of Jayanta Mukherjee. A scholar is included among the top collaborators of Jayanta 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 Jayanta Mukherjee. Jayanta 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 | 3 | |
| 3 | 3 | |
| 4 | 1 | |
| 5 | 6 | |
| 6 | 0 | |
| 7 | 11 | |
| 8 | 1 | |
| 9 | 8 | |
| 10 | 2 | |
| 11 | 15 | |
| 12 | 5 | |
| 13 | 0 | |
| 14 | 1 | |
| 15 | 14 | |
| 16 | 30 | |
| 17 | 1 | |
| 18 | 197 | |
| 19 | False Color Suppression in Demosaiced Color Images. | 1 |
| 20 | 5 |
About Jayanta Mukherjee
Jayanta Mukherjee is a scholar working on Computer Vision and Pattern Recognition, Computer Graphics and Computer-Aided Design and Media Technology, having authored 144 papers that have together received 1.7k indexed citations. Recurring topics across this work include Digital Image Processing Techniques (18 papers), Medical Image Segmentation Techniques (18 papers) and Image and Signal Denoising Methods (13 papers). The work is most often cited by research in Computer Vision and Pattern Recognition (1.1k citations), Media Technology (230 citations) and Human-Computer Interaction (119 citations). Jayanta Mukherjee has collaborated with scholars based in India, United States and Germany. Frequent co-authors include Shamik Sural, Sushmita Mitra, S.K. Mitra, Aditi Roy, Pratik Chattopadhyay, Partha Pratim Das, Β.N. Chatterji, A.K. Majumdar, Manjunatha Mahadevappa and Avishek Saha. Their work appears in journals such as SHILAP Revista de lepidopterología, IEEE Transactions on Image Processing and IEEE Access.
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.