Mrinal Kumar

106 papers receiving 890 citations

Peers

Mrinal Kumar
Comparison fields: 5 of 80
  • Computational Mathematics 80
  • Statistics, Probability and Uncertainty 136
  • Ocean Engineering 303
  • Analytical Chemistry 109
  • Statistical and Nonlinear Physics 118
Replace Jinde Zheng with:
Jinde Zheng China
Bart G. van Bloemen Waanders United States
Suman Chakravorty United States
R.J. Vaccaro United States
Suresh M. Joshi United States
Dan Li China
Jean‐Louis Lacoume France
Leonardo A. B. Tôrres Brazil
Yong‐Yan Cao China
S.M. Smith United States
Mrinal Kumar relative to Jinde Zheng China Jinde Zheng's profile →
Citations per field
00.5×6.8×
Jinde Zheng · 1×
Citations per year

Countries citing papers authored by Mrinal Kumar

Since Specialization
Citations

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

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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.

Border = papers with Mrinal Kumar Line = papers co-authored together Mrinal Kumar links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 118 papers — load more, or switch the sort, to bring in the rest.

#Work
1 201353
2 200946
3 199543
4 201037
5 200633
6 198733
7 200530
8 201525
9 200425
10 198624
11 201723
12 200623
13 201522
14 200921
15 200620
16 200118
17 201815
18 199914
19 200114
20 202114

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 917 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 (12 papers), Target Tracking and Data Fusion in Sensor Networks (11 papers), Hydraulic Fracturing and Reservoir Analysis (9 papers) and Robotic Path Planning Algorithms (8 papers). The work is most often cited by research in Computational Mathematics (80 citations), Statistics, Probability and Uncertainty (136 citations), Ocean Engineering (303 citations), Analytical Chemistry (109 citations) and Statistical and Nonlinear Physics (118 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 Computational Physics, Journal of Spacecraft and Rockets 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.

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