Amit Mitra
- Nephrology top 0.5%
- Hematology top 5%
- Multiple Myeloma Research and Treatments 14
- Cancer Research top 5%
- Pharmaceutical Science top 5%
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- Blind Source Separation Techniques 17
- Direction-of-Arrival Estimation Techniques 16
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- Protein Degradation and Inhibitors 12
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- Structural Health Monitoring Techniques 9
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- Radar Systems and Signal Processing 7
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- Alzheimer's disease research and treatments 7
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- Advanced Statistical Methods and Models 6
- Co-authors
- Robert W. SchrierBrian D. PooleDevendra K. AgrawalWei WangDebasis KunduDeepak M. GangaharSandor FalkSathyanarayana M. Upadrashta
- Partner nations
- United StatesIndiaSweden
In The Last Decade
Amit Mitra
129 papers receiving 3.4k citations
Hit Papers
Peers
Comparison fields: 5 of 171
- Nephrology 763
- Hematology 334
- Critical Care and Intensive Care Medicine 150
- Cancer Research 352
- Pharmaceutical Science 110
Countries citing papers authored by Amit Mitra
This map shows the geographic impact of Amit Mitra'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 Amit Mitra with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Amit Mitra more than expected).
Fields of papers citing papers by Amit Mitra
This network shows the impact of papers produced by Amit Mitra. 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 Amit Mitra. The network helps show where Amit Mitra may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Amit Mitra, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2024 | 1 | |
| 2 | 2024 | 0 | |
| 3 | 2024 | 0 | |
| 4 | 2024 | 2 | |
| 5 | 2023 | 1 | |
| 6 | 2023 | 0 | |
| 7 | 2023 | 1 | |
| 8 | 2023 | 2 | |
| 9 | 2023 | 4 | |
| 10 | 2020 | 13 | |
| 11 | 2016 | 5 | |
| 12 | Development of a Low Cost ECG DataAcquisition Module | 2014 | 0 |
| 13 | 2013 | 42 | |
| 14 | 2012 | 6 | |
| 15 | 2011 | 1 | |
| 16 | 2006 | 28 | |
| 17 | Acute renal failure: definitions, diagnosis, pathogenesis, and therapybreakdown → | 2004 | 563 |
| 18 | 2004 | 23 | |
| 19 | 1997 | 4 | |
| 20 | Cyclodextrins as mucosal absorption promoters of insulin. III: Pulmonary route of delivery | 1994 | 15 |
About Amit Mitra
Amit Mitra is a scholar working on Signal Processing, Hematology, Nephrology, Statistics and Probability and Statistics, Probability and Uncertainty, having authored 140 papers that have together received 3.5k indexed citations. Recurring topics across this work include Blind Source Separation Techniques (17 papers), Direction-of-Arrival Estimation Techniques (16 papers), Multiple Myeloma Research and Treatments (14 papers), Protein Degradation and Inhibitors (12 papers), Structural Health Monitoring Techniques (9 papers), Radar Systems and Signal Processing (7 papers), Alzheimer's disease research and treatments (7 papers) and Advanced Statistical Methods and Models (6 papers). The work is most often cited by research in Nephrology (763 citations), Hematology (334 citations), Critical Care and Intensive Care Medicine (150 citations), Cancer Research (352 citations) and Pharmaceutical Science (110 citations). Amit Mitra has collaborated with scholars based in United States, India and Sweden. Frequent co-authors include Robert W. Schrier, Brian D. Poole, Devendra K. Agrawal, Wei Wang, Wei Wang, Debasis Kundu, Deepak M. Gangahar, Sandor Falk, Sathyanarayana M. Upadrashta and Steven H. Neau. Their work appears in journals such as Blood Cancer Journal, Signal Processing, Blood, Journal of Multivariate Analysis and Multidimensional Systems and Signal 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.