D. Dutta Majumder
- Computer Vision and Pattern Recognition top 2%
- Artificial Intelligence top 5%
- Control and Systems Engineering top 5%
- Management Science and Operations Research top 5%
- Statistics and Probability top 5%
- Co-authors
- B.B. ChaudhuriKumar S. RayBhabatosh ChandaPunam K. SahaSwapan K. ParuiSankar K. PalC.A. MurthyAnimesh Biswas
- Topics
- Medical Image Segmentation Techniques (19 papers)Digital Image Processing Techniques (14 papers)Image and Object Detection Techniques (10 papers)
- Partner nations
- IndiaUnited StatesRomania
In The Last Decade
D. Dutta Majumder
112 papers receiving 1.3k citations
Peers
Comparison fields: 5 of 149
- Computer Vision and Pattern Recognition 537
- Artificial Intelligence 360
- Control and Systems Engineering 199
- Management Science and Operations Research 126
- Statistics and Probability 123
Countries citing papers authored by D. Dutta Majumder
This map shows the geographic impact of D. Dutta Majumder'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 D. Dutta Majumder with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites D. Dutta Majumder more than expected).
Fields of papers citing papers by D. Dutta Majumder
This network shows the impact of papers produced by D. Dutta Majumder. 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 D. Dutta Majumder. The network helps show where D. Dutta Majumder may publish in the future.
Co-authorship network of co-authors of D. Dutta Majumder
This figure shows the co-authorship network connecting the top 25 collaborators of D. Dutta Majumder. A scholar is included among the top collaborators of D. Dutta Majumder 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 D. Dutta Majumder. D. Dutta Majumder is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 2 | |
| 2 | 2 | |
| 3 | 0 | |
| 4 | 8 | |
| 5 | 7 | |
| 6 | 15 | |
| 7 | 10 | |
| 8 | 20 | |
| 9 | 15 | |
| 10 | A Target Classification Architectural Scheme for Secure Decision Making in Network Centric Environment with MPLS-VPN Architecture | 1 |
| 11 | 3 | |
| 12 | 22 | |
| 13 | 3 | |
| 14 | Tropospheric VHF Propagation Studies Over Indian East Coast | 1 |
| 15 | 31 | |
| 16 | 14 | |
| 17 | 1 | |
| 18 | On the properties of elevated layers over Calcutta and its effect on VHF propagation | 0 |
| 19 | 1 | |
| 20 | 1 |
About D. Dutta Majumder
D. Dutta Majumder is a scholar working on Computer Vision and Pattern Recognition, Media Technology and Computational Mathematics, having authored 125 papers that have together received 1.4k indexed citations. Recurring topics across this work include Medical Image Segmentation Techniques (19 papers), Digital Image Processing Techniques (14 papers) and Image and Object Detection Techniques (10 papers). The work is most often cited by research in Computer Vision and Pattern Recognition (537 citations), Statistics and Probability (123 citations) and Media Technology (114 citations). D. Dutta Majumder has collaborated with scholars based in India, United States and Romania. Frequent co-authors include B.B. Chaudhuri, Kumar S. Ray, Bhabatosh Chanda, Punam K. Saha, Swapan K. Parui, Sankar K. Pal, C.A. Murthy, Animesh Biswas, Jayanta Kumar Basak and Nikhil R. Pal. Their work appears in journals such as Scientific Reports, Chemical Physics Letters and Pattern Recognition.
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.