David Trebotich

1.2k total citations
21 papers, 961 citations indexed

About

David Trebotich is a scholar working on Computational Mechanics, Environmental Engineering and Ocean Engineering. According to data from OpenAlex, David Trebotich has authored 21 papers receiving a total of 961 indexed citations (citations by other indexed papers that have themselves been cited), including 10 papers in Computational Mechanics, 7 papers in Environmental Engineering and 5 papers in Ocean Engineering. Recurrent topics in David Trebotich's work include Lattice Boltzmann Simulation Studies (7 papers), Computational Fluid Dynamics and Aerodynamics (7 papers) and CO2 Sequestration and Geologic Interactions (6 papers). David Trebotich is often cited by papers focused on Lattice Boltzmann Simulation Studies (7 papers), Computational Fluid Dynamics and Aerodynamics (7 papers) and CO2 Sequestration and Geologic Interactions (6 papers). David Trebotich collaborates with scholars based in United States, Switzerland and Netherlands. David Trebotich's co-authors include Sergi Molins, Carl I. Steefel, Chaopeng Shen, Gregory H. Miller, Hang Deng, Jonathan Ajo‐Franklin, Terry J. Ligocki, Li Yang, Daniel Graves and Donald J. DePaolo and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Environmental Science & Technology and Geochimica et Cosmochimica Acta.

In The Last Decade

David Trebotich

21 papers receiving 930 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
David Trebotich United States 12 603 364 243 191 154 21 961
Florian Doster United Kingdom 18 461 0.8× 491 1.3× 425 1.7× 123 0.6× 276 1.8× 55 863
Yashar Mehmani United States 19 389 0.6× 469 1.3× 216 0.9× 277 1.5× 371 2.4× 45 915
Sophie Roman France 14 439 0.7× 563 1.5× 293 1.2× 302 1.6× 226 1.5× 29 1.1k
Mohammad Amin Amooie United States 17 685 1.1× 526 1.4× 340 1.4× 88 0.5× 299 1.9× 24 1.0k
Tara LaForce United States 21 776 1.3× 701 1.9× 524 2.2× 74 0.4× 280 1.8× 77 1.2k
Xiaojing Fu United States 16 229 0.4× 265 0.7× 150 0.6× 159 0.8× 185 1.2× 33 699
Klaus Johannsen Germany 16 324 0.5× 113 0.3× 229 0.9× 285 1.5× 94 0.6× 51 918
Akand W. Islam United States 17 356 0.6× 305 0.8× 348 1.4× 166 0.9× 190 1.2× 40 815
Hamidreza Erfani United Kingdom 15 223 0.4× 385 1.1× 219 0.9× 101 0.5× 200 1.3× 25 600
Sahar Bakhshian United States 17 403 0.7× 510 1.4× 250 1.0× 232 1.2× 293 1.9× 37 880

Countries citing papers authored by David Trebotich

Since Specialization
Citations

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

Fields of papers citing papers by David Trebotich

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of David Trebotich

This figure shows the co-authorship network connecting the top 25 collaborators of David Trebotich. A scholar is included among the top collaborators of David Trebotich 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 David Trebotich. David Trebotich 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.
Molins, Sergi, David Trebotich, & Carl I. Steefel. (2024). Approaches for the Simulation of Coupled Processes in Evolving Fractured Porous Media Enabled by Exascale Computing. Computing in Science & Engineering. 26(2). 33–42. 3 indexed citations
2.
Trebotich, David. (2024). Exascale Computational Fluid Dynamics in Heterogeneous Systems. Journal of Fluids Engineering. 146(4). 2 indexed citations
3.
Molins, Sergi, Cyprien Soulaine, Nikolaos I. Prasianakis, et al.. (2020). Simulation of mineral dissolution at the pore scale with evolving fluid-solid interfaces: review of approaches and benchmark problem set. Computational Geosciences. 25(4). 1285–1318. 133 indexed citations
4.
Molins, Sergi, David Trebotich, Bhavna Arora, Carl I. Steefel, & Hang Deng. (2019). Multi-scale Model of Reactive Transport in Fractured Media: Diffusion Limitations on Rates. Transport in Porous Media. 128(2). 701–721. 44 indexed citations
5.
Deng, Hang, Sergi Molins, David Trebotich, Carl I. Steefel, & Donald J. DePaolo. (2018). Pore-scale numerical investigation of the impacts of surface roughness: Upscaling of reaction rates in rough fractures. Geochimica et Cosmochimica Acta. 239. 374–389. 96 indexed citations
6.
Tang, Houjun, Suren Byna, Steve Harenberg, et al.. (2016). In Situ Storage Layout Optimization for AMR Spatio-temporal Read Accesses. 2. 406–415. 2 indexed citations
7.
8.
Straalen, Brian Van, et al.. (2016). Scientific Workflows at DataWarp-Speed: Accelerated Data-Intensive Science Using NERSC's Burst Buffer. eScholarship (California Digital Library). 1–6. 14 indexed citations
9.
Trebotich, David & Daniel Graves. (2015). An adaptive finite volume method for the incompressible Navier–Stokes equations in complex geometries. Project Euclid (Cornell University). 10(1). 43–82. 36 indexed citations
10.
Trebotich, David, Mark F. Adams, Sergi Molins, Carl I. Steefel, & Chaopeng Shen. (2014). High-Resolution Simulation of Pore-Scale Reactive Transport Processes Associated with Carbon Sequestration. Computing in Science & Engineering. 16(6). 22–31. 46 indexed citations
11.
Molins, Sergi, David Trebotich, Li Yang, et al.. (2014). Pore-Scale Controls on Calcite Dissolution Rates from Flow-through Laboratory and Numerical Experiments. Environmental Science & Technology. 48(13). 7453–7460. 145 indexed citations
12.
Molins, Sergi, David Trebotich, Carl I. Steefel, & Chaopeng Shen. (2012). An investigation of the effect of pore scale flow on average geochemical reaction rates using direct numerical simulation. Water Resources Research. 48(3). 257 indexed citations
13.
Miller, Gregory H. & David Trebotich. (2011). An embedded boundary method for the Navier–Stokes equations on a time-dependent domain. Project Euclid (Cornell University). 7(1). 1–31. 19 indexed citations
14.
Colella, Phillip, et al.. (2010). A Second-Order Accurate Conservative Front-Tracking Method in One Dimension. SIAM Journal on Scientific Computing. 31(6). 4795–4813. 3 indexed citations
15.
Nonaka, Andrew, David Trebotich, Gregory H. Miller, Daniel Graves, & Phillip Colella. (2009). A higher-order upwind method for viscoelastic flow. Project Euclid (Cornell University). 4(1). 57–83. 6 indexed citations
16.
Trebotich, David. (2007). Simulation of biological flow and transport in complex geometries using embedded boundary/volume-of-fluid methods. Journal of Physics Conference Series. 78. 12076–12076. 1 indexed citations
17.
Zahn, Jeffrey D., David Trebotich, & Dorian Liepmann. (2005). Microdialysis Microneedles for Continuous Medical Monitoring. Biomedical Microdevices. 7(1). 59–69. 51 indexed citations
18.
Trebotich, David & Phillip Colella. (2001). A Projection Method for Incompressible Viscous Flow on Moving QuadrilateralGrids. Journal of Computational Physics. 166(2). 191–217. 21 indexed citations
19.
Colella, Phillip & David Trebotich. (1999). Numerical simulation of incompressible viscous flow in deforming domains. Proceedings of the National Academy of Sciences. 96(10). 5378–5381. 6 indexed citations
20.
Trebotich, David. (1998). A Projection Method for Incompressible Viscous Flow on a Deformable Domain. 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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