Donald L. Koch
- Computational Mechanics top 0.05%
- Granular flow and fluidized beds 54
- Lattice Boltzmann Simulation Studies 36
- Fluid Dynamics and Turbulent Flows 25
- Ocean Engineering top 0.05%
- Particle Dynamics in Fluid Flows 74
- Fluid Flow and Transfer Processes top 0.5%
- Rheology and Fluid Dynamics Studies 28
- Earth-Surface Processes top 1%
- Aeolian processes and effects 21
- Condensed Matter Physics top 1%
- Micro and Nano Robotics 20
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- Material Dynamics and Properties 40
- Co-authors
- John F. BradyReghan J. HillGanesh SubramanianAnthony J. C. LaddEric S. G. ShaqfehAshok S. SanganiClaude CohenLynden A. Archer
- Journals
- Physical Review Letters (4 papers)The Journal of Chemical Physics (4 papers)Journal of Geophysical Research Atmospheres (1 paper)
- Partner nations
- United StatesIndiaUnited Kingdom
In The Last Decade
Donald L. Koch
217 papers receiving 9.8k citations
Hit Papers
Peers
Comparison fields: 5 of 156
- Computational Mechanics 5.0k
- Ocean Engineering 3.1k
- Fluid Flow and Transfer Processes 1.0k
- Earth-Surface Processes 572
- Condensed Matter Physics 955
Countries citing papers authored by Donald L. Koch
This map shows the geographic impact of Donald L. Koch'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 Donald L. Koch with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Donald L. Koch more than expected).
Fields of papers citing papers by Donald L. Koch
This network shows the impact of papers produced by Donald L. Koch. 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 Donald L. Koch. The network helps show where Donald L. Koch may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Donald L. Koch, 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 | 2024 | 2 | |
| 3 | 2023 | 5 | |
| 4 | 2023 | 5 | |
| 5 | 2023 | 2 | |
| 6 | 2023 | 2 | |
| 7 | 2023 | 3 | |
| 8 | 2022 | 5 | |
| 9 | 2021 | 11 | |
| 10 | 2021 | 14 | |
| 11 | 2020 | 16 | |
| 12 | 2019 | 21 | |
| 13 | 2019 | 6 | |
| 14 | 2019 | 27 | |
| 15 | 2019 | 13 | |
| 16 | 2018 | 0 | |
| 17 | 2018 | 8 | |
| 18 | 2018 | 27 | |
| 19 | 2017 | 16 | |
| 20 | Orientation statistics of non-spherical particles sedimenting in turbulence | 2016 | 1 |
About Donald L. Koch
Donald L. Koch is a scholar working on Computational Mechanics, Ocean Engineering and Fluid Flow and Transfer Processes, having authored 222 papers that have together received 10.2k indexed citations. Recurring topics across this work include Particle Dynamics in Fluid Flows (74 papers), Granular flow and fluidized beds (54 papers), Material Dynamics and Properties (40 papers), Lattice Boltzmann Simulation Studies (36 papers), Rheology and Fluid Dynamics Studies (28 papers), Fluid Dynamics and Turbulent Flows (25 papers), Aeolian processes and effects (21 papers) and Micro and Nano Robotics (20 papers). The work is most often cited by research in Computational Mechanics (5.0k citations), Ocean Engineering (3.1k citations) and Fluid Flow and Transfer Processes (1.0k citations). Donald L. Koch has collaborated with scholars based in United States, India and United Kingdom. Frequent co-authors include John F. Brady, Reghan J. Hill, Ganesh Subramanian, Anthony J. C. Ladd, Eric S. G. Shaqfeh, Ashok S. Sangani, Claude Cohen, Lynden A. Archer, Heng‐Kwong Tsao and Mukul D. Tikekar. Their work appears in journals such as Physical Review Letters, The Journal of Chemical Physics and Journal of Geophysical Research Atmospheres.
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.