M. Das
Impact in
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- Advanced Data Compression Techniques
- Image and Signal Denoising Methods
- Control and Systems Engineering top 10%
- Adaptive Control of Nonlinear Systems
- Control Systems and Identification
- Advanced Control Systems Optimization
Papers in
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- Image and Signal Denoising Methods 20
- Advanced Data Compression Techniques 17
- Advanced Image Processing Techniques 7
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- Fish Ecology and Management Studies 8
- Co-authors
- S. A. Tobias (1 shared paper)R. Cristi (2 shared papers)H. Elliott (2 shared papers)Balaram Ghosh (1 shared paper)Mark Paulik (4 shared papers)N.K. Loh (8 shared papers)Ranjan Kumar Nanda (4 shared papers)Ankur Nandan Varshney (1 shared paper)
- Journals
- Electronics Letters (3 papers)IEEE Transactions on Automatic Control (2 papers)Canadian Journal of Zoology (2 papers)Zootaxa (2 papers)Inflammation Research (1 paper)
- Partner nations
- United StatesIndiaBangladesh
In The Last Decade
M. Das
67 papers receiving 731 citations
Peers
Comparison fields: 5 of 123
- Computer Vision and Pattern Recognition 166
- Control and Systems Engineering 136
- Aquatic Science 37
- Immunology and Allergy 23
- Sensory Systems 18
Countries citing papers authored by M. Das
This map shows the geographic impact of M. Das'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 M. Das with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites M. Das more than expected).
Fields of papers citing papers by M. Das
This network shows the impact of papers produced by M. Das. 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 M. Das. The network helps show where M. Das may publish in the future.
Co-authors
The 25 scholars most cited alongside M. Das, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 69 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 1985 | 115 | |
| 2 | 1967 | 98 | |
| 3 | 2003 | 85 | |
| 4 | 2013 | 62 | |
| 5 | 1990 | 42 | |
| 6 | 2015 | 40 | |
| 7 | 1993 | 38 | |
| 8 | 1992 | 25 | |
| 9 | 2002 | 23 | |
| 10 | 2016 | 17 | |
| 11 | 2012 | 12 | |
| 12 | 1993 | 11 | |
| 13 | 2002 | 10 | |
| 14 | 2013 | 10 | |
| 15 | 1970 | 10 | |
| 16 | 1970 | 9 | |
| 17 | 2020 | 9 | |
| 18 | 1990 | 8 | |
| 19 | 1992 | 8 | |
| 20 | 1989 | 8 |
About M. Das
M. Das is a scholar working on Computer Vision and Pattern Recognition, Nature and Landscape Conservation, Aquatic Science, Artificial Intelligence and Control and Systems Engineering, having authored 69 papers that have together received 778 indexed citations. Recurring topics across this work include Image and Signal Denoising Methods (20 papers), Advanced Data Compression Techniques (17 papers), Fish Biology and Ecology Studies (10 papers), Fish Ecology and Management Studies (8 papers), Advanced Image Processing Techniques (7 papers), Control Systems and Identification (6 papers), Algorithms and Data Compression (5 papers) and Adaptive Control of Nonlinear Systems (4 papers). The work is most often cited by research in Computer Vision and Pattern Recognition (166 citations), Control and Systems Engineering (136 citations), Aquatic Science (37 citations), Immunology and Allergy (23 citations) and Sensory Systems (18 citations). M. Das has collaborated with scholars based in United States, India and Bangladesh. Frequent co-authors include S. A. Tobias, R. Cristi, H. Elliott, Balaram Ghosh, Mark Paulik, N.K. Loh, Ranjan Kumar Nanda, Ankur Nandan Varshney, Joseph S. Nelson and Sabitry Bordoloi. Their work appears in journals such as Electronics Letters, IEEE Transactions on Automatic Control, Canadian Journal of Zoology, Zootaxa and Inflammation Research.
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.