Michael C. Sukop
- Computational Mechanics top 0.2%
- Lattice Boltzmann Simulation Studies 34
- Heat and Mass Transfer in Porous Media 10
- Fluid Dynamics and Heat Transfer 8
- Geochemistry and Petrology top 1%
- Groundwater and Isotope Geochemistry 11
- Environmental Engineering top 1%
- Groundwater flow and contamination studies 23
- Ocean Engineering top 0.5%
- Water resources management and optimization 8
- Earth-Surface Processes top 5%
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- Aerosol Filtration and Electrostatic Precipitation 18
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- Generative Adversarial Networks and Image Synthesis 9
Michael C. Sukop
82 papers receiving 3.6k citations
Hit Papers
Peers
Comparison fields: 5 of 115
- Computational Mechanics 2.1k
- Geochemistry and Petrology 398
- Environmental Engineering 917
- Ocean Engineering 592
- Earth-Surface Processes 164
Countries citing papers authored by Michael C. Sukop
This map shows the geographic impact of Michael C. Sukop'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 C. Sukop with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Michael C. Sukop more than expected).
Fields of papers citing papers by Michael C. Sukop
This network shows the impact of papers produced by Michael C. Sukop. 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 C. Sukop. The network helps show where Michael C. Sukop may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Michael C. Sukop, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2025 | 2 | |
| 2 | 2023 | 4 | |
| 3 | 2023 | 5 | |
| 4 | 2023 | 3 | |
| 5 | 2022 | 13 | |
| 6 | 2019 | 49 | |
| 7 | 2018 | 14 | |
| 8 | 2018 | 21 | |
| 9 | 2017 | 30 | |
| 10 | 2014 | 12 | |
| 11 | 2009 | 13 | |
| 12 | 2009 | 17 | |
| 13 | Tracer test inversion to determine vegetative flow resistance with Lattice Boltzmann models | 2008 | 1 |
| 14 | 2008 | 439 | |
| 15 | Groundwater Flow Modeling Using Pmwin Model in the Wakal River Basin, Rajasthan, India | 2008 | 2 |
| 16 | Simulating Density-Dependent Flows Using the Lattice Boltzmann Method | 2008 | 1 |
| 17 | 2008 | 87 | |
| 18 | 2008 | 21 | |
| 19 | Simulation of submarine groundwater discharge salinity and temperature variations : implications for remote detection | 2007 | 2 |
| 20 | 2005 | 72 |
About Michael C. Sukop
Michael C. Sukop is a scholar working on Geochemistry and Petrology, Environmental Engineering and Computational Mechanics, having authored 86 papers that have together received 3.8k indexed citations. Recurring topics across this work include Lattice Boltzmann Simulation Studies (34 papers), Groundwater flow and contamination studies (23 papers), Aerosol Filtration and Electrostatic Precipitation (18 papers), Groundwater and Isotope Geochemistry (11 papers), Heat and Mass Transfer in Porous Media (10 papers), Generative Adversarial Networks and Image Synthesis (9 papers), Water resources management and optimization (8 papers) and Fluid Dynamics and Heat Transfer (8 papers). The work is most often cited by research in Computational Mechanics (2.1k citations), Geochemistry and Petrology (398 citations) and Environmental Engineering (917 citations). Michael C. Sukop has collaborated with scholars based in United States, China and Australia. Frequent co-authors include Daniel T. Thorne, Christian D. Langevin, Haibo Huang, Dani Or, Alyssa Dausman, Weixing Guo, Marcel G. Schaap, Xi‐Yun Lu, Kevin J. Cunningham and Haibo Huang. Their work appears in journals such as The Science of The Total Environment, Water Research and Water Resources Research.
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.