Mrinal Kumar
Impact in
- Computational Mathematics top 1%
- Tensor decomposition and applications
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- Probabilistic and Robust Engineering Design
Papers in
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- Probabilistic and Robust Engineering Design 29
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- Target Tracking and Data Fusion in Sensor Networks 11
- Co-authors
- John L. Junkins (10 shared papers)Suman Chakravorty (12 shared papers)Puneet Singla (4 shared papers)Zinan Zhao (6 shared papers)Akshay Sahni (6 shared papers)Anthony R. Kovscek (6 shared papers)Anand J. Kulkarni (1 shared paper)Ishan Durugkar (1 shared paper)
- Journals
- Journal of Guidance Control and Dynamics (7 papers)Acta Astronautica (3 papers)Journal of Spacecraft and Rockets (2 papers)SPE Journal (2 papers)Probabilistic Engineering Mechanics (2 papers)
- Partner nations
- United StatesNetherlandsIndia
In The Last Decade
Mrinal Kumar
104 papers receiving 920 citations
Peers
Comparison fields: 5 of 81
- Computational Mathematics 95
- Statistics, Probability and Uncertainty 149
- Ocean Engineering 304
- Analytical Chemistry 109
- Statistical and Nonlinear Physics 135
Countries citing papers authored by Mrinal Kumar
This map shows the geographic impact of Mrinal Kumar'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 Mrinal Kumar with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Mrinal Kumar more than expected).
Fields of papers citing papers by Mrinal Kumar
This network shows the impact of papers produced by Mrinal Kumar. 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 Mrinal Kumar. The network helps show where Mrinal Kumar may publish in the future.
Co-authors
The 25 scholars most cited alongside Mrinal Kumar, 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 118 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2013 | 53 | |
| 2 | 2009 | 46 | |
| 3 | 2014 | 45 | |
| 4 | 1995 | 43 | |
| 5 | 2010 | 37 | |
| 6 | 2006 | 33 | |
| 7 | 1987 | 33 | |
| 8 | 2005 | 30 | |
| 9 | 2015 | 25 | |
| 10 | 2004 | 25 | |
| 11 | 1986 | 24 | |
| 12 | 2006 | 23 | |
| 13 | 2017 | 22 | |
| 14 | 2015 | 22 | |
| 15 | 2009 | 21 | |
| 16 | 2006 | 20 | |
| 17 | 2001 | 18 | |
| 18 | 2018 | 14 | |
| 19 | 2021 | 14 | |
| 20 | 2001 | 14 |
About Mrinal Kumar
Mrinal Kumar is a scholar working on Statistics, Probability and Uncertainty, Artificial Intelligence, Ocean Engineering, Statistical and Nonlinear Physics and Control and Systems Engineering, having authored 118 papers that have together received 953 indexed citations. Recurring topics across this work include Probabilistic and Robust Engineering Design (29 papers), Enhanced Oil Recovery Techniques (16 papers), Model Reduction and Neural Networks (15 papers), Reservoir Engineering and Simulation Methods (13 papers), Tensor decomposition and applications (13 papers), Target Tracking and Data Fusion in Sensor Networks (11 papers), Hydraulic Fracturing and Reservoir Analysis (9 papers) and Hydrocarbon exploration and reservoir analysis (8 papers). The work is most often cited by research in Computational Mathematics (95 citations), Statistics, Probability and Uncertainty (149 citations), Ocean Engineering (304 citations), Analytical Chemistry (109 citations) and Statistical and Nonlinear Physics (135 citations). Mrinal Kumar has collaborated with scholars based in United States, Netherlands and India. Frequent co-authors include John L. Junkins, Suman Chakravorty, Puneet Singla, Zinan Zhao, Akshay Sahni, Anthony R. Kovscek, Anand J. Kulkarni, Ishan Durugkar, Van Thuy Hoang and A.K. Ambastha. Their work appears in journals such as Journal of Guidance Control and Dynamics, Acta Astronautica, Journal of Spacecraft and Rockets, SPE Journal and Probabilistic Engineering Mechanics.
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.