Abhash Kumar

481 total citations
30 papers, 337 citations indexed

About

Abhash Kumar is a scholar working on Geophysics, Mechanical Engineering and Ocean Engineering. According to data from OpenAlex, Abhash Kumar has authored 30 papers receiving a total of 337 indexed citations (citations by other indexed papers that have themselves been cited), including 26 papers in Geophysics, 14 papers in Mechanical Engineering and 9 papers in Ocean Engineering. Recurrent topics in Abhash Kumar's work include Seismic Imaging and Inversion Techniques (21 papers), Hydraulic Fracturing and Reservoir Analysis (14 papers) and earthquake and tectonic studies (11 papers). Abhash Kumar is often cited by papers focused on Seismic Imaging and Inversion Techniques (21 papers), Hydraulic Fracturing and Reservoir Analysis (14 papers) and earthquake and tectonic studies (11 papers). Abhash Kumar collaborates with scholars based in United States, China and Peru. Abhash Kumar's co-authors include S. L. Beck, L. S. Wagner, Maureen D. Long, G. Zandt, Hernando Tavera, Richard Hammack, William Harbert, Cristobal Condori Quispe, Timothy R. Carr and Mark J. Caddick and has published in prestigious journals such as Nature, Science and SHILAP Revista de lepidopterología.

In The Last Decade

Abhash Kumar

27 papers receiving 329 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Abhash Kumar United States 8 295 51 50 43 24 30 337
J. Kummerow Germany 11 553 1.9× 75 1.5× 50 1.0× 31 0.7× 30 1.3× 38 588
Ben Dando Norway 9 368 1.2× 99 1.9× 24 0.5× 51 1.2× 9 0.4× 24 395
Lawrence Hongliang Wang Norway 6 270 0.9× 43 0.8× 21 0.4× 20 0.5× 25 1.0× 8 304
Alessandro Verdecchia Germany 12 351 1.2× 68 1.3× 46 0.9× 10 0.2× 43 1.8× 31 387
Marta Pischiutta Italy 15 390 1.3× 39 0.8× 13 0.3× 38 0.9× 16 0.7× 34 457
Vyasulu V. Akkiraju India 7 146 0.5× 35 0.7× 23 0.5× 14 0.3× 15 0.6× 13 184
J. C. Chang United States 11 391 1.3× 95 1.9× 41 0.8× 19 0.4× 71 3.0× 22 439
Guijuan Lai China 10 467 1.6× 86 1.7× 29 0.6× 15 0.3× 16 0.7× 21 501
Vladimír Plicka Czechia 13 453 1.5× 78 1.5× 30 0.6× 29 0.7× 16 0.7× 32 485
Henri Leclère France 13 276 0.9× 21 0.4× 32 0.6× 37 0.9× 91 3.8× 19 337

Countries citing papers authored by Abhash Kumar

Since Specialization
Citations

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

Fields of papers citing papers by Abhash Kumar

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Abhash Kumar

This figure shows the co-authorship network connecting the top 25 collaborators of Abhash Kumar. A scholar is included among the top collaborators of Abhash 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 Abhash Kumar. Abhash 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.
Liu, Guoxiang, Abhash Kumar, William Harbert, et al.. (2024). Machine Learning Application for CCUS Carbon Storage: Fracture Analysis and Mapping in The Illinois Basin. OSTI OAI (U.S. Department of Energy Office of Scientific and Technical Information). 1 indexed citations
2.
3.
Liu, Guoxiang, Abhash Kumar, William Harbert, et al.. (2024). Machine Learning Application for Fracture Analysis: Use Case. OSTI OAI (U.S. Department of Energy Office of Scientific and Technical Information).
4.
Kumar, Abhash, et al.. (2023). Machine Learning Application for CCUS Carbon Storage: Fracture Analysis and Mapping in the Illinois Basin. SPE Annual Technical Conference and Exhibition. 1 indexed citations
5.
Fathi, Ebrahim, et al.. (2022). High-quality fracture network mapping using high frequency logging while drilling (LWD) data: MSEEL case study. SHILAP Revista de lepidopterología. 10. 100421–100421. 10 indexed citations
6.
7.
Kumar, Abhash, et al.. (2021). Evaluating proxies for the drivers of natural gas productivity using machine-learning models. Interpretation. 9(4). SG31–SG46. 1 indexed citations
8.
Kumar, Abhash, et al.. (2020). Seismic Monitoring of an Associated Gas “Huff N Puff” for Enhanced Oil Recovery in the Middle Wolfcamp Shale of the Midland Basin, Texas. Proceedings of the 8th Unconventional Resources Technology Conference. 2 indexed citations
9.
Kumar, Abhash, et al.. (2020). Seismic monitoring of CO2 injection at an enhanced oil recovery site in Wellington, Kansas. 60. 1344–1348. 1 indexed citations
10.
Wagner, L. S., Mark J. Caddick, Abhash Kumar, S. L. Beck, & Maureen D. Long. (2020). Effects of Oceanic Crustal Thickness on Intermediate Depth Seismicity. Frontiers in Earth Science. 8. 16 indexed citations
11.
Kumar, Abhash, Richard Hammack, William Harbert, et al.. (2019). Seismic monitoring of CO2-EOR operations in the Texas Panhandle and southern Kansas using surface seismometers. OSTI OAI (U.S. Department of Energy Office of Scientific and Technical Information). 2. 4903–4907. 2 indexed citations
12.
Kumar, Abhash, et al.. (2019). Seismic Monitoring of Hydraulic Fracturing Activity in the Wolfcamp Shale of Midland Basin, Texas. Proceedings of the 7th Unconventional Resources Technology Conference.
13.
Kumar, Abhash, Manel Fernández, F. Funiciello, et al.. (2018). Effects of kinematic boundary conditions on trench curvature in a retreating subduction zone: insights from analog modelling. AGUFM. 2018. 1 indexed citations
14.
Kumar, Abhash, et al.. (2018). Surface Seismic Monitoring of Hydraulic Fracturing Test Site (HFTS) in the Midland Basin, Texas. Proceedings of the 6th Unconventional Resources Technology Conference. 5 indexed citations
15.
Kumar, Abhash, Kevin Chao, Richard Hammack, et al.. (2018). Surface-seismic monitoring of an active CO2-EOR operation in the Texas Panhandle using broadband seismometers. 3027–3031. 5 indexed citations
16.
Kumar, Abhash, et al.. (2018). Geomechanical analysis of microseismicity in an organic shale: A West Virginia Marcellus Shale example. Interpretation. 7(1). T231–T239. 4 indexed citations
17.
Kumar, Abhash, et al.. (2017). Long-period, long-duration seismicity observed during hydraulic fracturing of the Marcellus Shale in Greene County, Pennsylvania. The Leading Edge. 36(7). 580–587. 20 indexed citations
18.
Hammack, Richard, et al.. (2017). Geomechanical lithology-based analysis of microseismicity in organic shale sequences: A Pennsylvania Marcellus Shale example. The Leading Edge. 36(10). 845–851. 6 indexed citations
19.
Beck, S. L., G. Zandt, L. S. Wagner, et al.. (2017). Causes and consequences of flat-slab subduction in southern Peru. Geosphere. 13(5). 1392–1407. 77 indexed citations
20.
Wagner, L. S., Abhash Kumar, S. L. Beck, et al.. (2015). The role of ridges in the formation and longevity of flat slabs. Nature. 524(7564). 212–215. 98 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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2026