Mrinal Kumar

1.4k total citations
118 papers, 953 citations indexed

About

Mrinal Kumar is a scholar working on Statistics, Probability and Uncertainty, Artificial Intelligence and Ocean Engineering. According to data from OpenAlex, Mrinal Kumar has authored 118 papers receiving a total of 953 indexed citations (citations by other indexed papers that have themselves been cited), including 29 papers in Statistics, Probability and Uncertainty, 27 papers in Artificial Intelligence and 25 papers in Ocean Engineering. Recurrent topics in Mrinal Kumar's work include Probabilistic and Robust Engineering Design (29 papers), Enhanced Oil Recovery Techniques (16 papers) and Model Reduction and Neural Networks (15 papers). Mrinal Kumar is often cited by papers focused on Probabilistic and Robust Engineering Design (29 papers), Enhanced Oil Recovery Techniques (16 papers) and Model Reduction and Neural Networks (15 papers). Mrinal Kumar collaborates with scholars based in United States, Netherlands and India. Mrinal Kumar's co-authors include John L. Junkins, Suman Chakravorty, Puneet Singla, Zinan Zhao, Akshay Sahni, Anthony R. Kovscek, Ishan Durugkar, Anand J. Kulkarni, Van Thuy Hoang and A.K. Ambastha and has published in prestigious journals such as Scientific Reports, Journal of Computational Physics and Automatica.

In The Last Decade

Mrinal Kumar

104 papers receiving 920 citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Mrinal Kumar United States 17 304 206 185 165 163 118 953
Jinde Zheng China 24 43 0.1× 240 1.2× 470 2.5× 25 0.2× 868 5.3× 91 1.8k
Dan Li China 15 103 0.3× 320 1.6× 101 0.5× 152 0.9× 80 0.5× 106 1.0k
Jean‐Louis Lacoume France 17 137 0.5× 193 0.9× 70 0.4× 63 0.4× 111 0.7× 73 978
S.M. Smith United States 19 609 2.0× 269 1.3× 132 0.7× 213 1.3× 157 1.0× 74 1.1k
Wen‐Juan Lin China 20 28 0.1× 242 1.2× 180 1.0× 122 0.7× 181 1.1× 42 1.7k
J.K. Hammond United Kingdom 17 29 0.1× 63 0.3× 159 0.9× 41 0.2× 209 1.3× 62 1.2k
R.J. Vaccaro United States 19 139 0.5× 126 0.6× 22 0.1× 339 2.1× 55 0.3× 89 1.5k
Bart G. van Bloemen Waanders United States 14 117 0.4× 48 0.2× 37 0.2× 27 0.2× 37 0.2× 32 799
Soumalya Sarkar United States 17 50 0.2× 216 1.0× 35 0.2× 79 0.5× 103 0.6× 47 828
Suman Chakravorty United States 13 48 0.2× 306 1.5× 28 0.2× 290 1.8× 58 0.4× 94 803

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-authorship network of co-authors of Mrinal Kumar

This figure shows the co-authorship network connecting the top 25 collaborators of Mrinal Kumar. A scholar is included among the top collaborators of Mrinal Kumar 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 Mrinal Kumar. Mrinal Kumar is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
1.
Kumar, Mrinal, et al.. (2025). Real-Time Detection of Data Exfiltration Using Deep Learning in Edge Computing Systems. International Journal of Innovative Research in Computer Science & Technology. 13(2). 6–13.
2.
Chakrabarti, A., et al.. (2025). Temporally consistent Koopman autoencoders for forecasting dynamical systems. Scientific Reports. 15(1). 22127–22127.
3.
Teixeira, Fernando L., et al.. (2024). Accelerating particle-in-cell kinetic plasma simulations via reduced-order modeling of space-charge dynamics using dynamic mode decomposition. Physical review. E. 109(6). 65307–65307. 1 indexed citations
4.
Kumar, Mrinal, et al.. (2024). Stationary distribution of a double epidemic stochastic model driven by saturated incidence rates. Applied Mathematics and Computation. 474. 128697–128697. 1 indexed citations
5.
Kumar, Mrinal & Chandra Sekhar Dash. (2024). Detecting and Preventing ARP Spoofing Attacks Using Real-Time Data Analysis and Machine Learning. International Journal of Innovative Research in Computer Science & Technology. 12(5). 47–55. 1 indexed citations
6.
7.
8.
9.
Kumar, Mrinal, et al.. (2021). Chance-constrained path planning in narrow spaces for a dubins vehicle. 7(2). 46–61. 3 indexed citations
10.
Kumar, Mrinal, et al.. (2021). Detecting Equilibrium State of Dynamical Systems Using Sliding-Window Reduced-Order Dynamic Mode Decomposition. AIAA Scitech 2021 Forum. 2 indexed citations
11.
Kumar, Mrinal & Ramprasad Saptharishi. (2019). Hardness-Randomness Tradeoffs for Algebraic Computation. Bulletin of the European Association for Theoretical Computer Science. 3(129). 2 indexed citations
12.
Kumar, Mrinal, et al.. (2015). Nonlinear Bayesian filtering based on Fokker-Planck equation and tensor decomposition. International Conference on Information Fusion. 1483–1488. 11 indexed citations
13.
Kumar, Mrinal, et al.. (2015). An evaluation of Monte Carlo for nonlinear initial uncertainty propagation in Keplerian mechanics. International Conference on Information Fusion. 119–125. 4 indexed citations
14.
Kumar, Mrinal, et al.. (2015). Solution of high dimensional transient Fokker-Planck equations by tensor decomposition. 1475–1480. 6 indexed citations
15.
Kumar, Mrinal, et al.. (2014). Numerical solution of high dimensional stationary Fokker–Planck equations via tensor decomposition and Chebyshev spectral differentiation. Computers & Mathematics with Applications. 67(10). 1960–1977. 45 indexed citations
16.
Kumar, Mrinal & Shubhangi Saraf. (2013). The Limits of Depth Reduction for Arithmetic Formulas: It's all about the top fan-in. arXiv (Cornell University). 20. 153. 1 indexed citations
17.
Zhao, Zinan & Mrinal Kumar. (2012). An MCMC-based particle filter for multiple target tracking. International Conference on Information Fusion. 1676–1682. 8 indexed citations
18.
Lampton, Amanda, John Valasek, & Mrinal Kumar. (2011). Multiresolution state-space discretization for Q-Learning with pseudorandomized discretization. Journal of Control Theory and Applications. 9(3). 431–439. 3 indexed citations
19.
Kumar, Mrinal, Puneet Singla, Suman Chakravorty, & John L. Junkins. (2006). A Multi-Resolution Approach for Steady State Uncertainty Determination in Nonlinear Dynamical Systems. 46. 137–141. 10 indexed citations
20.
Kumar, Mrinal, et al.. (1990). Performance Correlations for Steamflood Field Projects. SPE California Regional Meeting. 10 indexed citations

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.

Explore authors with similar magnitude of impact

Breakdown of academic impact, for papers by Jinde Zheng Breakdown of academic impact, for papers by Dan Li Breakdown of academic impact, for papers by Jean‐Louis Lacoume Breakdown of academic impact, for papers by S.M. Smith Breakdown of academic impact, for papers by Wen‐Juan Lin Breakdown of academic impact, for papers by J.K. Hammond Breakdown of academic impact, for papers by R.J. Vaccaro Breakdown of academic impact, for papers by Bart G. van Bloemen Waanders Breakdown of academic impact, for papers by Soumalya Sarkar Breakdown of academic impact, for papers by Suman Chakravorty
Rankless by CCL
2026