Travis Mitchell

784 citations
29 papers · 598 · h-index 13

Impact in

    • Lattice Boltzmann Simulation Studies
    • Fluid Dynamics and Heat Transfer
    • Fluid Dynamics and Thin Films
    • Fluid Dynamics and Turbulent Flows
    • Drilling and Well Engineering

Papers in

Travis Mitchell

26 papers receiving 579 citations

Peers

Travis Mitchell
Comparison fields: 5 of 53
  • Computational Mechanics 377
  • Ocean Engineering 113
  • Biomedical Engineering 166
  • Mechanical Engineering 114
  • Surfaces, Coatings and Films 20
Replace Pooria Akbarzadeh with:
Pooria Akbarzadeh Iran
Pengbo Yin China
Clóvis R. Maliska Brazil
Fabien Evrard Germany
Andrea Ferrari Switzerland
Lele Yang China
Kejun Dong Australia
Travis Mitchell relative to Pooria Akbarzadeh Iran Pooria Akbarzadeh's profile →
Citations per field
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Citations per year

Countries citing papers authored by Travis Mitchell

Since Specialization
Citations

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

Fields of papers citing papers by Travis Mitchell

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Travis Mitchell, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Travis Mitchell Line = papers co-authored together Travis Mitchell links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 29 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2017156
2 2017147
3 201849
4 201932
5 202225
6 202124
7 202220
8 201619
9 202017
10 202015
11 202313
12 202313
13 202113
14 202211
15 202310
16 20226
17 20235
18 20244
19 20244
20 20224

About Travis Mitchell

Travis Mitchell is a scholar working on Computational Mechanics, Biomedical Engineering, Mechanical Engineering, Ocean Engineering and Mechanics of Materials, having authored 29 papers that have together received 598 indexed citations. Recurring topics across this work include Lattice Boltzmann Simulation Studies (17 papers), Fluid Dynamics and Heat Transfer (10 papers), Fluid Dynamics and Thin Films (10 papers), Fluid Dynamics and Mixing (4 papers), Drilling and Well Engineering (3 papers), Aerosol Filtration and Electrostatic Precipitation (3 papers), Hydraulic Fracturing and Reservoir Analysis (3 papers) and Rock Mechanics and Modeling (3 papers). The work is most often cited by research in Computational Mechanics (377 citations), Ocean Engineering (113 citations), Biomedical Engineering (166 citations), Mechanical Engineering (114 citations) and Surfaces, Coatings and Films (20 citations). Travis Mitchell has collaborated with scholars based in Australia, United States and Poland. Frequent co-authors include Christopher Leonardi, Abbas Fakhari, Diogo Bolster, Mahshid Firouzi, Brian F. Towler, Thomas E. Rufford, Italo Onederra, Ulrich Rüde, Tracie Barber and Mike Marsh. Their work appears in journals such as Physics of Fluids, International Journal of Multiphase Flow, Minerals Engineering, Computers & Mathematics with Applications and Journal of Natural Gas Science and Engineering.

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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