Michael J. Pyrcz

2.5k total citations · 1 hit paper
87 papers, 1.7k citations indexed

About

Michael J. Pyrcz is a scholar working on Ocean Engineering, Environmental Engineering and Mechanical Engineering. According to data from OpenAlex, Michael J. Pyrcz has authored 87 papers receiving a total of 1.7k indexed citations (citations by other indexed papers that have themselves been cited), including 54 papers in Ocean Engineering, 32 papers in Environmental Engineering and 21 papers in Mechanical Engineering. Recurrent topics in Michael J. Pyrcz's work include Reservoir Engineering and Simulation Methods (44 papers), Soil Geostatistics and Mapping (22 papers) and Hydraulic Fracturing and Reservoir Analysis (19 papers). Michael J. Pyrcz is often cited by papers focused on Reservoir Engineering and Simulation Methods (44 papers), Soil Geostatistics and Mapping (22 papers) and Hydraulic Fracturing and Reservoir Analysis (19 papers). Michael J. Pyrcz collaborates with scholars based in United States, Canada and Netherlands. Michael J. Pyrcz's co-authors include Clayton V. Deutsch, Jeff Boisvert, Honggeun Jo, Javier E. Santos, Maša Prodanović, Larry W. Lake, Jacob A. Covault, Hoonyoung Jeong, Octavian Catuneanu and Christopher J. Landry and has published in prestigious journals such as Water Resources Research, The Journal of Physical Chemistry C and IEEE Transactions on Geoscience and Remote Sensing.

In The Last Decade

Michael J. Pyrcz

81 papers receiving 1.7k citations

Hit Papers

align trajectories

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.

PoreFlow-Net: A 3D convolutional neural network to predict fluid flow through porous media

2020 178 citations Javier E. Santos, Honggeun Jo et al. profile →

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Michael J. Pyrcz United States	23	746	515	452	431	356	87	1.7k
Peter A. Dowd Australia	27	411 0.6×	973 1.9×	196 0.4×	548 1.3×	1.2k 3.3×	133	2.4k
Patrick William Michael Corbett United Kingdom	25	1.1k 1.5×	974 1.9×	299 0.7×	980 2.3×	468 1.3×	149	2.1k
Timothy R. Carr United States	26	832 1.1×	888 1.7×	154 0.3×	1.1k 2.6×	207 0.6×	99	2.1k
T. Manzocchi Ireland	28	499 0.7×	510 1.0×	483 1.1×	930 2.2×	410 1.2×	79	2.7k
Vittorio Di Federico Italy	26	493 0.7×	646 1.3×	173 0.4×	121 0.3×	969 2.7×	118	1.9k
Olivier Dubrule United Kingdom	17	713 1.0×	476 0.9×	86 0.2×	316 0.7×	394 1.1×	41	1.6k
Julien Straubhaar Switzerland	19	569 0.8×	268 0.5×	70 0.2×	188 0.4×	1.1k 3.1×	54	1.7k
Sebastien Strebelle United States	16	921 1.2×	469 0.9×	116 0.3×	320 0.7×	1.0k 2.9×	29	1.8k
Guillaume Caumon France	26	684 0.9×	246 0.5×	203 0.4×	346 0.8×	320 0.9×	116	2.2k
Driss Ouazar Morocco	26	610 0.8×	137 0.3×	101 0.2×	150 0.3×	1.2k 3.4×	144	2.8k

Countries citing papers authored by Michael J. Pyrcz

Since Specialization

Citations

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

Fields of papers citing papers by Michael J. Pyrcz

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Michael J. Pyrcz

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

All Works

Sort: Min cites: Since: Top N: Style:

20 of 20 papers shown

Pyrcz, Michael J., et al.. (2025). Physics-Based Discrepancy Modeling for Well Log Imputation. Mathematical Geosciences. 57(7). 1235–1264.

Foster, John T., et al.. (2025). Spatial bagging for predictive machine learning uncertainty quantification. Computers & Geosciences. 203. 105947–105947.

Pyrcz, Michael J., et al.. (2025). Conditional Generative Adversarial Networks for Multivariate Gaussian Subsurface Modeling: How Good Are They?. Mathematical Geosciences. 57(4). 733–757. 1 indexed citations

Pyrcz, Michael J., et al.. (2025). GenAI Minimum Acceptance Checks: Static and Dynamic Model-Checking of Conditioning Generative Artificial Intelligence Models for Subsurface Modeling. Mathematical Geosciences. 57(8). 1471–1501.

Shakiba, Mahmood, Larry W. Lake, Julia Gale, Stephen E. Laubach, & Michael J. Pyrcz. (2024). Stochastic reconstruction of fracture network pattern using spatial point processes. Geoenergy Science and Engineering. 236. 212741–212741. 2 indexed citations

Foster, John T., et al.. (2024). Spatial bagging to integrate spatial correlation into ensemble machine learning. Computers & Geosciences. 186. 105558–105558. 4 indexed citations

Pyrcz, Michael J., et al.. (2024). Anisotropic resistivity estimation and uncertainty quantification from borehole triaxial electromagnetic induction measurements: Gradient-based inversion and physics-informed neural network. Computers & Geosciences. 196. 105786–105786. 2 indexed citations

Sepehrnoori, Kamy, et al.. (2024). Modelling of Joule-Thomson cooling effect using a modified shift-DeepONet method for predicting hydrate onset during CO2 sequestration. Geoenergy Science and Engineering. 243. 213320–213320. 2 indexed citations

Shakiba, Mahmood, Larry W. Lake, Julia Gale, Stephen E. Laubach, & Michael J. Pyrcz. (2023). Multiscale spatial analysis of fracture nodes in two dimensions. Marine and Petroleum Geology. 149. 106093–106093. 8 indexed citations

10.

Santos, Javier E., et al.. (2023). Mitigation of spatial nonstationarity with vision transformers. Computers & Geosciences. 178. 105412–105412. 5 indexed citations

11.

Jo, Honggeun, et al.. (2023). Sensitivity analysis of geological rule-based subsurface model parameters on fluid flow. AAPG Bulletin. 107(6). 887–906. 1 indexed citations

12.

Shakiba, Mahmood, Larry W. Lake, Julia Gale, & Michael J. Pyrcz. (2023). Characterization of spatial relationships between fractures from different sets using K-function analysis. AAPG Bulletin. 107(7). 1169–1189. 2 indexed citations

13.

Sen, Mrinal, et al.. (2022). Unconventional reservoir characterization by seismic inversion and machine learning of the Bakken Formation. AAPG Bulletin. 106(11). 2203–2223. 6 indexed citations

14.

Pyrcz, Michael J., et al.. (2022). Fast evaluation of pressure and saturation predictions with a deep learning surrogate flow model. Journal of Petroleum Science and Engineering. 212. 110244–110244. 13 indexed citations

15.

Santos, Javier E., et al.. (2022). MPLBM-UT: Multiphase LBM library for permeable media analysis. SoftwareX. 18. 101097–101097. 23 indexed citations

16.

Pyrcz, Michael J., et al.. (2022). Estimating resources in unconventional assets: Spatial bootstrapping with n-effective. Journal of Petroleum Science and Engineering. 212. 110174–110174. 2 indexed citations

17.

Pan, Wen, Carlos Torres‐Verdín, Ian Duncan, & Michael J. Pyrcz. (2022). Improving multiwell petrophysical interpretation from well logs via machine learning and statistical models. Geophysics. 88(2). D159–D175. 8 indexed citations

18.

Khanna, Pankaj, et al.. (2020). Implications for controls on Upper Cambrian microbial build-ups across multiple-scales, Mason County, Central Texas, USA. Marine and Petroleum Geology. 121. 104590–104590. 8 indexed citations

19.

Santos, Javier E., Duo Xu, Maša Prodanović, & Michael J. Pyrcz. (2020). Characterizing effective flow units in a multiscale porous medium. 2 indexed citations

20.

Pyrcz, Michael J. & Christopher D. White. (2015). Uncertainty in reservoir modeling. Interpretation. 3(2). SQ7–SQ19. 11 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