D. Trebotich

480 total citations
26 papers, 289 citations indexed

About

D. Trebotich is a scholar working on Computational Mechanics, Biomedical Engineering and Fluid Flow and Transfer Processes. According to data from OpenAlex, D. Trebotich has authored 26 papers receiving a total of 289 indexed citations (citations by other indexed papers that have themselves been cited), including 12 papers in Computational Mechanics, 8 papers in Biomedical Engineering and 6 papers in Fluid Flow and Transfer Processes. Recurrent topics in D. Trebotich's work include Lattice Boltzmann Simulation Studies (7 papers), Rheology and Fluid Dynamics Studies (6 papers) and Microfluidic and Capillary Electrophoresis Applications (5 papers). D. Trebotich is often cited by papers focused on Lattice Boltzmann Simulation Studies (7 papers), Rheology and Fluid Dynamics Studies (6 papers) and Microfluidic and Capillary Electrophoresis Applications (5 papers). D. Trebotich collaborates with scholars based in United States and Kazakhstan. D. Trebotich's co-authors include Sergi Molins, Carl I. Steefel, Gregory H. Miller, Phillip Colella, Dorian Liepmann, Kirk L. Yerkes, Daniel Graves, Peter Schwartz, Thomas Deschamps and R. Malladi and has published in prestigious journals such as Journal of Computational Physics, Reviews in Mineralogy and Geochemistry and Journal of Nanoscience and Nanotechnology.

In The Last Decade

D. Trebotich

24 papers receiving 258 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
D. Trebotich United States 8 97 85 73 65 53 26 289
Daniela Bauer France 10 174 1.8× 105 1.2× 239 3.3× 133 2.0× 50 0.9× 31 509
S.P. Sullivan United Kingdom 9 283 2.9× 22 0.3× 46 0.6× 42 0.6× 106 2.0× 10 403
Y. Meleán Venezuela 8 199 2.1× 81 1.0× 72 1.0× 52 0.8× 37 0.7× 11 352
Radek Fučík Czechia 12 139 1.4× 97 1.1× 58 0.8× 72 1.1× 15 0.3× 38 312
Alex M. K. P. Taylor United Kingdom 9 218 2.2× 22 0.3× 79 1.1× 59 0.9× 65 1.2× 19 406
Sheldon Gorell United States 10 95 1.0× 59 0.7× 233 3.2× 139 2.1× 20 0.4× 36 384
W. YANTA United States 11 273 2.8× 64 0.8× 45 0.6× 30 0.5× 50 0.9× 41 336
Magnus Aa. Gjennestad Norway 10 75 0.8× 43 0.5× 74 1.0× 118 1.8× 181 3.4× 20 337
Konstantin Volkov Russia 10 129 1.3× 30 0.4× 25 0.3× 25 0.4× 25 0.5× 66 304
Hyeokjun Byeon South Korea 13 55 0.6× 34 0.4× 14 0.2× 14 0.2× 107 2.0× 16 400

Countries citing papers authored by D. Trebotich

Since Specialization
Citations

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

Fields of papers citing papers by D. Trebotich

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of D. Trebotich

This figure shows the co-authorship network connecting the top 25 collaborators of D. Trebotich. A scholar is included among the top collaborators of D. 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 D. Trebotich. D. 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, D. Trebotich, Carl I. Steefel, & Hang Deng. (2016). Adaptive Multiscale Modeling of Geochemical Impacts on Fracture Evolution. AGU Fall Meeting Abstracts. 2016. 1 indexed citations
2.
Molins, Sergi, Marc Day, D. Trebotich, & Daniel Graves. (2015). Adaptive Mesh Refinement in Reactive Transport Modeling of Subsurface Environments. AGU Fall Meeting Abstracts. 2015. 2 indexed citations
3.
Molins, Sergi, et al.. (2014). A Highly Resolved Direct Numerical Simulation Model of Reactive Transport at the Pore Scale. 2014 AGU Fall Meeting. 2014. 1 indexed citations
4.
Steefel, Carl I., Sergi Molins, & D. Trebotich. (2013). Pore Scale Processes Associated with Subsurface CO2 Injection and Sequestration. Reviews in Mineralogy and Geochemistry. 77(1). 259–303. 96 indexed citations
5.
Miller, Gregory H., et al.. (2012). Calculation of viscoelastic bead–rod flow mediated by a homogenised kinetic scale with holonomic constraints. Molecular Simulation. 38(10). 786–792. 1 indexed citations
6.
Graves, Daniel, D. Trebotich, Gregory H. Miller, & Phillip Colella. (2008). An efficient solver for the equations of resistive MHD with spatially-varying resistivity. Journal of Computational Physics. 227(10). 4797–4804. 5 indexed citations
7.
Colella, Phillip, Daniel Graves, Terry J. Ligocki, D. Trebotich, & Brian Van Straalen. (2008). Embedded boundary algorithms and software for partial differential equations. Journal of Physics Conference Series. 125. 12084–12084. 5 indexed citations
8.
Trebotich, D., Brian Van Straalen, Daniel Graves, & Phil Colella. (2008). Performance of embedded boundary methods for CFD with complex geometry. Journal of Physics Conference Series. 125. 12083–12083. 10 indexed citations
9.
Miller, Gregory H. & D. Trebotich. (2007). Toward a Mesoscale Model for the Dynamics of Polymer Solutions. Journal of Computational and Theoretical Nanoscience. 4(4). 797–801. 5 indexed citations
10.
Deschamps, Thomas, R. S. Schwartz, & D. Trebotich. (2005). Air-flow simulation in realistic models of the trachea. PubMed. 4. 3933–3936. 5 indexed citations
11.
Nonaka, Andrew, Shelly Gulati, D. Trebotich, et al.. (2005). A computational model with experimental validation for DNA flow in microchannels. University of North Texas Digital Library (University of North Texas). 4 indexed citations
12.
Trebotich, D., Phillip Colella, Gregory H. Miller, et al.. (2004). A Numerical Algorithm for Complex Biological Flow in Irregular Microdevice Geometries. Scholarly Commons (University of the Pacific). 2(2004). 470–473. 5 indexed citations
13.
Deschamps, Thomas, Peter Schwartz, D. Trebotich, et al.. (2004). Vessel segmentation and blood flow simulation using Level-Sets and Embedded Boundary methods. International Congress Series. 1268. 75–80. 28 indexed citations
14.
Trebotich, D., Phillip Colella, & Gregory H. Miller. (2004). A stable and convergent scheme for viscoelastic flow in contraction channels. Journal of Computational Physics. 205(1). 315–342. 37 indexed citations
15.
Trebotich, D., Jeffrey D. Zahn, Balabhaskar Prabhakarpandian, & Dorian Liepmann. (2003). Modeling of Microfabricated Microneedles for Minimally Invasive Drug Delivery, Sampling and Analysis. Biomedical Microdevices. 5(3). 245–251. 3 indexed citations
16.
Trebotich, D., et al.. (2002). A Numerical Model of Viscoelastic Flow in Microchannels. University of North Texas Digital Library (University of North Texas). 2(2003). 520–523. 1 indexed citations
17.
Yerkes, Kirk L., et al.. (2002). Performance of a MEMS based micro capillary pumped loop for chip-level temperature control. 427–430. 25 indexed citations
18.
Zahn, Jeffrey D., D. Trebotich, & Dorian Liepmann. (2002). Microfabricated microdialysis microneedles for continuous medical monitoring. 375–380. 9 indexed citations
19.
Liepmann, Dorian, et al.. (2001). Optimization of a MEMS Based Micro Capillary Pumped Loop for Chip-Level Temperature Control. TechConnect Briefs. 1(2001). 262–265. 5 indexed citations
20.
Yerkes, Kirk L., et al.. (2000). Cooling Effect of a MEMS Based Micro Capillary Pumped Loop for Chip-Level Temperature Control. Micro-Electro-Mechanical Systems (MEMS). 21 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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