Michael Jervis

490 total citations
41 papers, 356 citations indexed

About

Michael Jervis is a scholar working on Geophysics, Ocean Engineering and Artificial Intelligence. According to data from OpenAlex, Michael Jervis has authored 41 papers receiving a total of 356 indexed citations (citations by other indexed papers that have themselves been cited), including 40 papers in Geophysics, 25 papers in Ocean Engineering and 10 papers in Artificial Intelligence. Recurrent topics in Michael Jervis's work include Seismic Imaging and Inversion Techniques (37 papers), Seismic Waves and Analysis (23 papers) and Reservoir Engineering and Simulation Methods (14 papers). Michael Jervis is often cited by papers focused on Seismic Imaging and Inversion Techniques (37 papers), Seismic Waves and Analysis (23 papers) and Reservoir Engineering and Simulation Methods (14 papers). Michael Jervis collaborates with scholars based in United States, Saudi Arabia and Netherlands. Michael Jervis's co-authors include Mingliang Liu, Weichang Li, Andrey Bakulin, Paul L. Stoffa, Mrinal K. Sen, SanLinn I. Kaka, Éric Forgues, Aldo Vesnaver, Abdullatif Al‐Shuhail and Zhiyi Zhang and has published in prestigious journals such as Geophysical Research Letters, Geophysics and Geophysical Prospecting.

In The Last Decade

Michael Jervis

41 papers receiving 342 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Michael Jervis United States 10 302 190 97 86 40 41 356
Jamie Rich United States 10 379 1.3× 265 1.4× 157 1.6× 82 1.0× 56 1.4× 26 445
Xianhuai Zhu United States 10 459 1.5× 227 1.2× 103 1.1× 53 0.6× 36 0.9× 41 488
Chao‐ying Bai China 13 445 1.5× 141 0.7× 51 0.5× 87 1.0× 28 0.7× 46 498
Shihang Feng United States 9 229 0.8× 154 0.8× 63 0.6× 63 0.7× 45 1.1× 27 324
Steve Cole United States 13 475 1.6× 297 1.6× 128 1.3× 109 1.3× 24 0.6× 31 543
Jiachun You China 12 222 0.7× 131 0.7× 120 1.2× 73 0.8× 102 2.5× 52 349
Daeung Yoon South Korea 11 264 0.9× 310 1.6× 151 1.6× 67 0.8× 66 1.6× 33 436
Boris Kashtan Russia 11 443 1.5× 248 1.3× 94 1.0× 70 0.8× 30 0.8× 85 477
Diego Rovetta United States 12 406 1.3× 247 1.3× 41 0.4× 78 0.9× 28 0.7× 61 471
Gabriel Fabien‐Ouellet Canada 9 294 1.0× 204 1.1× 70 0.7× 48 0.6× 27 0.7× 38 335

Countries citing papers authored by Michael Jervis

Since Specialization
Citations

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

Fields of papers citing papers by Michael Jervis

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Michael Jervis

This figure shows the co-authorship network connecting the top 25 collaborators of Michael Jervis. A scholar is included among the top collaborators of Michael Jervis 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 Michael Jervis. Michael Jervis 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.
Kaur, Harpreet, Nam Pham, Sergey Fomel, et al.. (2022). A deep learning framework for seismic facies classification. Interpretation. 11(1). T107–T116. 7 indexed citations
2.
Jervis, Michael, et al.. (2021). Deep learning network optimization and hyperparameter tuning for seismic lithofacies classification. The Leading Edge. 40(7). 514–523. 6 indexed citations
3.
Kaur, Harpreet, Nam Pham, Sergey Fomel, et al.. (2021). A deep learning framework for seismic facies classification. 1420–1424. 7 indexed citations
4.
Liu, Mingliang, et al.. (2020). Seismic facies classification using supervised convolutional neural networks and semisupervised generative adversarial networks. Geophysics. 85(4). O47–O58. 104 indexed citations
5.
6.
Jervis, Michael, et al.. (2018). Making time-lapse seismic work in a complex desert environment for CO2 EOR monitoring — Design and acquisition. The Leading Edge. 37(8). 598–606. 19 indexed citations
7.
Jervis, Michael, et al.. (2018). High-resolution acoustic imaging from a borehole to detect a nearby well. The Leading Edge. 37(11). 812–817. 9 indexed citations
8.
9.
Kaka, SanLinn I., et al.. (2017). Analysis of microseismic events during a multistage hydraulic stimulation experiment at a shale gas reservoir. Petroleum Geoscience. 23(3). 386–394. 5 indexed citations
10.
Bakulin, Andrey, et al.. (2016). Processing and repeatability of 4D buried receiver data in a desert environment. 5405–5409. 14 indexed citations
11.
Vesnaver, Aldo, et al.. (2014). On the use of microtremors for hydrocarbon detection. Geophysical Prospecting. 62(4). 897–909. 2 indexed citations
12.
Vesnaver, Aldo, et al.. (2011). 3D polarization analysis of surface and borehole microseismic data. 1663–1668. 4 indexed citations
13.
Jervis, Michael, et al.. (2009). Results from Passive Seismic Field Trial for Reservoir Monitoring in Saudi Arabia. 71st EAGE Conference and Exhibition incorporating SPE EUROPEC 2009. 3 indexed citations
14.
Jervis, Michael. (2006). Edge preserving filtering on 3‐D seismic data using complex wavelet transforms. 2872–2876. 9 indexed citations
15.
16.
Zhang, Zhiyi, et al.. (2000). Determining bed boundaries from inversion of EM logging data using general measures of model structure and data misfit. Geophysics. 65(1). 76–82. 9 indexed citations
17.
18.
Jervis, Michael, Mrinal K. Sen, & Paul L. Stoffa. (1996). Prestack migration velocity estimation using nonlinear methods. Geophysics. 61(1). 138–150. 25 indexed citations
19.
Jervis, Michael, et al.. (1994). Robust and efficient 3‐D traveltime calculations in arbitrary media. 1402–1405. 1 indexed citations
20.
Jervis, Michael, Mrinal K. Sen, & Paul L. Stoffa. (1993). Optimization methods for 2‐D prestack migration velocity estimation. 965–968. 3 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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