Tapan Mukerji

17.7k total citations · 8 hit papers
302 papers, 11.6k citations indexed

About

Tapan Mukerji is a scholar working on Geophysics, Ocean Engineering and Mechanical Engineering. According to data from OpenAlex, Tapan Mukerji has authored 302 papers receiving a total of 11.6k indexed citations (citations by other indexed papers that have themselves been cited), including 188 papers in Geophysics, 159 papers in Ocean Engineering and 116 papers in Mechanical Engineering. Recurrent topics in Tapan Mukerji's work include Seismic Imaging and Inversion Techniques (174 papers), Hydraulic Fracturing and Reservoir Analysis (111 papers) and Reservoir Engineering and Simulation Methods (96 papers). Tapan Mukerji is often cited by papers focused on Seismic Imaging and Inversion Techniques (174 papers), Hydraulic Fracturing and Reservoir Analysis (111 papers) and Reservoir Engineering and Simulation Methods (96 papers). Tapan Mukerji collaborates with scholars based in United States, Israel and Norway. Tapan Mukerji's co-authors include Gary Mavko, Jack Dvorkin, Per Avseth, Vishal Das, Ezequiel F. González, Youngseuk Keehm, Jo Eidsvik, Darío Graña, Miguel Bosch and Ahinoam Pollack and has published in prestigious journals such as SHILAP Revista de lepidopterología, Physical Review B and Scientific Reports.

In The Last Decade

Tapan Mukerji

293 papers receiving 11.2k citations

Hit Papers

The Rock Physics Handbook 2005 2026 2012 2019 2009 2011 2012 2012 2020 500 1000 1.5k

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Tapan Mukerji United States 46 7.9k 6.4k 5.0k 3.6k 1.2k 302 11.6k
Gary Mavko United States 48 8.8k 1.1× 5.6k 0.9× 4.9k 1.0× 3.6k 1.0× 935 0.8× 252 11.2k
David D. Pollard United States 63 10.8k 1.4× 2.0k 0.3× 2.9k 0.6× 5.4k 1.5× 1.2k 1.0× 178 15.4k
Kurt J. Marfurt United States 47 9.5k 1.2× 5.5k 0.9× 3.9k 0.8× 3.0k 0.8× 262 0.2× 464 11.4k
Jack Dvorkin United States 45 8.5k 1.1× 5.7k 0.9× 5.0k 1.0× 4.6k 1.3× 1.1k 0.9× 236 12.5k
Amos Nur United States 71 15.7k 2.0× 5.7k 0.9× 4.8k 0.9× 5.7k 1.6× 1.2k 1.0× 302 20.3k
Albert Tarantola France 34 11.7k 1.5× 6.3k 1.0× 2.8k 0.6× 900 0.3× 1.0k 0.9× 73 16.1k
Mrinal K. Sen United States 47 6.7k 0.8× 3.7k 0.6× 2.0k 0.4× 959 0.3× 401 0.3× 384 8.5k
José M. Carcione Italy 57 8.3k 1.1× 4.0k 0.6× 2.8k 0.6× 3.1k 0.9× 359 0.3× 420 10.9k
Mark D. Zoback United States 81 17.5k 2.2× 7.6k 1.2× 9.0k 1.8× 9.8k 2.8× 2.8k 2.4× 392 26.2k
Derek Elsworth United States 79 5.5k 0.7× 11.6k 1.8× 7.3k 1.5× 14.5k 4.1× 3.9k 3.3× 626 22.2k

Countries citing papers authored by Tapan Mukerji

Since Specialization
Citations

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

Fields of papers citing papers by Tapan Mukerji

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Tapan Mukerji. 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 Tapan Mukerji. The network helps show where Tapan Mukerji may publish in the future.

Co-authorship network of co-authors of Tapan Mukerji

This figure shows the co-authorship network connecting the top 25 collaborators of Tapan Mukerji. A scholar is included among the top collaborators of Tapan Mukerji 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 Tapan Mukerji. Tapan Mukerji 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.
Mukerji, Tapan, et al.. (2025). Techno-economic analysis of natural and stimulated geological hydrogen. International Journal of Hydrogen Energy. 165. 150872–150872. 4 indexed citations
2.
Manga, Michael, et al.. (2025). Deep learning forecasts the spatiotemporal evolution of fluid-induced microearthquakes. Communications Earth & Environment. 6(1). 3 indexed citations
3.
Kashefi, Ali & Tapan Mukerji. (2023). Prediction of fluid flow in porous media by sparse observations and physics-informed PointNet. Neural Networks. 167. 80–91. 24 indexed citations
4.
Koeshidayatullah, Ardiansyah, Elizabeth J. Trower, Tapan Mukerji, et al.. (2022). Quantitative evaluation of the roles of ocean chemistry and climate on ooid size across the Phanerozoic: Global versus local controls. Sedimentology. 69(6). 2486–2506. 21 indexed citations
5.
Liu, Mingliang & Tapan Mukerji. (2022). Multiscale Fusion of Digital Rock Images Based on Deep Generative Adversarial Networks. Geophysical Research Letters. 49(9). 42 indexed citations
6.
Scheidt, Céline, et al.. (2015). Probabilistic falsification of prior geologic uncertainty with seismic amplitude data: Application to a turbidite reservoir case. Geophysics. 80(5). M89–M12. 30 indexed citations
8.
Saxena, Nishank, Gary Mavko, & Tapan Mukerji. (2013). Change in effective bulk modulus upon fluid or solid substitution. Geophysics. 78(4). L45–L56. 6 indexed citations
9.
Andrä, Heiko, Nicolas Combaret, Jack Dvorkin, et al.. (2012). Digital rock physics benchmarks—Part I: Imaging and segmentation. Computers & Geosciences. 50. 25–32. 552 indexed citations breakdown →
10.
Fernández‐Martínez, Juan Luis, et al.. (2012). Reservoir characterization and inversion uncertainty via a family of particle swarm optimizers. Geophysics. 77(1). M1–M16. 45 indexed citations
11.
Torres‐Verdín, Carlos, A. Revil, Michael Oristaglio, & Tapan Mukerji. (2012). Multiphysics borehole geophysical measurements, formation evaluation, petrophysics, and rock physics — Introduction. Geophysics. 77(3). WA1–WA2. 4 indexed citations
12.
Spikes, Kyle, Tapan Mukerji, Jack Dvorkin, & Gary Mavko. (2007). Probabilistic seismic inversion based on rock-physics models. Geophysics. 72(5). R87–R97. 88 indexed citations
14.
Keehm, Youngseuk, Tapan Mukerji, & Amos Nur. (2003). Computational rock physics : Lattice-Boltzmann fluid flow simulation in porous media and its applications. 661–668. 1 indexed citations
15.
Avseth, Per & Tapan Mukerji. (2002). Seismic Lithofacies Classification From Well Logs Using Statistical Rock Physics. Petrophysics – The SPWLA Journal of Formation Evaluation and Reservoir Description. 43(2). 32 indexed citations
16.
Bergbauer, Stephan, Tapan Mukerji, David D. Pollard, & Peter Hennings. (2001). Calculation of Scale-Dependent Curvatures of Geological Surfaces. AGU Fall Meeting Abstracts. 2001. 1 indexed citations
17.
Mukerji, Tapan, Arild Jørstad, Per Avseth, Gary Mavko, & J.R. Granli. (2001). Mapping lithofacies and pore-fluid probabilities in a North Sea reservoir: Seismic inversions and statistical rock physics. Geophysics. 66(4). 988–1001. 189 indexed citations
18.
Mukerji, Tapan, et al.. (1995). Scale-dependent seismic velocity in heterogeneous media. Geophysics. 60(4). 1222–1233. 55 indexed citations
19.
Marion, Dominique, Tapan Mukerji, & Gary Mavko. (1994). Scale effects on velocity dispersion: From ray to effective medium theories in stratified media. Geophysics. 59(10). 1613–1619. 77 indexed citations
20.
Mukerji, Tapan & Gary Mavko. (1994). Pore fluid effects on seismic velocity in anisotropic rocks. Geophysics. 59(2). 233–244. 82 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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