Mrinal K. Sen

11.7k total citations · 1 hit paper
384 papers, 8.5k citations indexed

About

Mrinal K. Sen is a scholar working on Geophysics, Ocean Engineering and Mechanical Engineering. According to data from OpenAlex, Mrinal K. Sen has authored 384 papers receiving a total of 8.5k indexed citations (citations by other indexed papers that have themselves been cited), including 338 papers in Geophysics, 183 papers in Ocean Engineering and 96 papers in Mechanical Engineering. Recurrent topics in Mrinal K. Sen's work include Seismic Imaging and Inversion Techniques (314 papers), Seismic Waves and Analysis (175 papers) and Hydraulic Fracturing and Reservoir Analysis (94 papers). Mrinal K. Sen is often cited by papers focused on Seismic Imaging and Inversion Techniques (314 papers), Seismic Waves and Analysis (175 papers) and Hydraulic Fracturing and Reservoir Analysis (94 papers). Mrinal K. Sen collaborates with scholars based in United States, India and China. Mrinal K. Sen's co-authors include Paul L. Stoffa, Yang Liu, Jonás D. De Basabe, Reetam Biswas, Ranjit Shaw, Mary F. Wheeler, Zeyu Zhao, C. S. Jackson, Rui Zhang and Sanjay Srinivasan and has published in prestigious journals such as Journal of Geophysical Research Atmospheres, Journal of Climate and Earth and Planetary Science Letters.

In The Last Decade

Mrinal K. Sen

364 papers receiving 8.2k citations

Hit Papers

Global Optimization Methods in Geophysical Inversion 2013 2026 2017 2021 2013 100 200 300 400
What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

  1. Global Optimization Methods in Geophysical Inversion
    2013 449 citations Mrinal K. Sen, Paul L. Stoffa profile →

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Mrinal K. Sen United States 47 6.7k 3.7k 2.0k 959 580 384 8.5k
J. Virieux France 57 11.9k 1.8× 5.3k 1.4× 2.0k 1.0× 859 0.9× 684 1.2× 262 12.9k
Jeroen Tromp United States 59 12.8k 1.9× 2.8k 0.8× 837 0.4× 970 1.0× 880 1.5× 241 14.7k
George A. McMechan United States 52 8.6k 1.3× 5.2k 1.4× 1.8k 0.9× 815 0.8× 453 0.8× 371 9.5k
Albert Tarantola France 34 11.7k 1.8× 6.3k 1.7× 2.8k 1.4× 900 0.9× 1.3k 2.2× 73 16.1k
Douglas W. Oldenburg Canada 51 10.2k 1.5× 6.5k 1.8× 717 0.4× 384 0.4× 970 1.7× 290 11.4k
Kurt J. Marfurt United States 47 9.5k 1.4× 5.5k 1.5× 3.9k 2.0× 3.0k 3.1× 1.1k 2.0× 464 11.4k
Paul L. Stoffa United States 45 5.8k 0.9× 2.7k 0.7× 1.2k 0.6× 512 0.5× 440 0.8× 218 7.5k
Dimitri Komatitsch France 44 6.9k 1.0× 1.9k 0.5× 599 0.3× 1.3k 1.4× 407 0.7× 130 9.2k
Sergey Fomel United States 60 12.4k 1.9× 6.7k 1.8× 3.1k 1.6× 857 0.9× 1.6k 2.8× 442 13.6k
M. Nafi Toksöz United States 61 12.7k 1.9× 4.2k 1.1× 1.6k 0.8× 2.1k 2.2× 1.1k 1.8× 449 15.3k

Countries citing papers authored by Mrinal K. Sen

Since Specialization
Citations

This map shows the geographic impact of Mrinal K. Sen'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 K. Sen with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Mrinal K. Sen more than expected).

Fields of papers citing papers by Mrinal K. Sen

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Mrinal K. Sen. 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 K. Sen. The network helps show where Mrinal K. Sen may publish in the future.

Co-authorship network of co-authors of Mrinal K. Sen

This figure shows the co-authorship network connecting the top 25 collaborators of Mrinal K. Sen. A scholar is included among the top collaborators of Mrinal K. Sen 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 K. Sen. Mrinal K. Sen 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.
2.
Sun, Jiajia, et al.. (2024). 3D Monte Carlo geometry inversion using gravity data. Geophysics. 89(3). G29–G44. 2 indexed citations
3.
Sun, Jiajia, et al.. (2024). Reconstruction of Multiple Target Bodies Using Trans-Dimensional Bayesian Inversion With Different Constraints. IEEE Transactions on Geoscience and Remote Sensing. 62. 1–16. 1 indexed citations
4.
Sen, Mrinal K., et al.. (2022). Physics-guided deep autoencoder to overcome the need for a starting model in full-waveform inversion. The Leading Edge. 41(6). 375–381. 25 indexed citations
5.
Zhao, Zeyu, et al.. (2022). Optimal minibatch shot selection for target-oriented least-squares reverse time migration. Geophysics. 87(4). A55–A60. 2 indexed citations
6.
Biswas, Reetam, Dhananjay Kumar, & Mrinal K. Sen. (2022). Seismic inversion for density using a transdimensional approach. The Leading Edge. 41(8). 548–556. 1 indexed citations
7.
Sun, Jiajia, et al.. (2022). Quantifying uncertainty of salt body shapes recovered from gravity data using trans-dimensional Markov chain Monte Carlo sampling. Geophysical Journal International. 232(3). 1957–1978. 14 indexed citations
8.
Sen, Mrinal K., et al.. (2020). A hybrid Galerkin finite element method for seismic wave propagation in fractured media. Geophysical Journal International. 221(2). 857–878. 14 indexed citations
9.
Vila, Jeremy, et al.. (2020). Minibatch least-squares reverse time migration in a deep-learning framework. Geophysics. 86(2). S125–S142. 29 indexed citations
10.
Sen, Mrinal K., et al.. (2019). Full-waveform inversion of salt models using shape optimization and simulated annealing. Geophysics. 84(5). R793–R804. 13 indexed citations
11.
Biswas, Reetam, et al.. (2019). Estimating normal moveout velocity using the recurrent neural network. Interpretation. 7(4). T819–T827. 14 indexed citations
12.
Pulliam, Jay, et al.. (2019). Lithospheric Removal Beneath the Eastern Flank of the Rio Grande Rift From Receiver Function Velocity Analysis. Geochemistry Geophysics Geosystems. 20(2). 974–991. 4 indexed citations
13.
Sen, Mrinal K., et al.. (2018). Enriched Galerkin finite element approximation for elastic wave propagation in fractured media. Journal of Computational Physics. 372. 726–747. 19 indexed citations
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15.
Rao, V. Vijaya, et al.. (2017). Deep crustal seismic reflection images from the Dharwar craton, Southern India—evidence for the Neoarchean subduction. Geophysical Journal International. 212(2). 777–794. 33 indexed citations
16.
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Sen, Mrinal K., et al.. (2011). Analysis of fluid substitution in a porous and fractured medium. Geophysics. 76(3). WA157–WA166. 23 indexed citations
18.
Kurç, Tahsin, Ümit V. Çatalyürek, Xi Zhang, et al.. (2005). A simulation and data analysis system for large-scale, data-driven oil reservoir simulation studies: Research Articles. IEEE International Conference on High Performance Computing, Data, and Analytics. 17(11). 1441–1467. 1 indexed citations
19.
Bangs, Nathan L., A. M. Tréhu, & Mrinal K. Sen. (2001). Mapping Methane-Rich Fluid Systems Within Southern Hydrate Ridge With High-Resolution 3-D Seismic Reflection Data. AGUFM. 2001. 1 indexed citations
20.
Sen, Mrinal K., et al.. (1970). A Note on the Approximation of H-Function for Isotropic Scattering. Publications of the Astronomical Society of Japan. 22. 235. 2 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.

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Breakdown of academic impact, for papers by J. Virieux Breakdown of academic impact, for papers by Jeroen Tromp Breakdown of academic impact, for papers by George A. McMechan Breakdown of academic impact, for papers by Albert Tarantola Breakdown of academic impact, for papers by Douglas W. Oldenburg Breakdown of academic impact, for papers by Kurt J. Marfurt Breakdown of academic impact, for papers by Paul L. Stoffa Breakdown of academic impact, for papers by Dimitri Komatitsch Breakdown of academic impact, for papers by Sergey Fomel Breakdown of academic impact, for papers by M. Nafi Toksöz
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