Robert H. Dillon
Impact in
- Condensed Matter Physics top 2%
- Micro and Nano Robotics
- Computational Mechanics top 2%
- Lattice Boltzmann Simulation Studies
- Fluid Dynamics and Turbulent Flows
Papers in
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- Lattice Boltzmann Simulation Studies 16
-
- Micro and Nano Robotics 12
- Co-authors
- Lisa Fauci (15 shared papers)Hans G. Othmer (5 shared papers)Donald P. Gaver (3 shared papers)Philip K. Maini (1 shared paper)Prashanta Dutta (8 shared papers)Mohammad Robiul Hossan (7 shared papers)Aaron L. Fogelson (2 shared papers)Katarzyna A. Rejniak (1 shared paper)
- Journals
- Journal of Theoretical Biology (3 papers)Journal of Computational Physics (3 papers)Applied Numerical Mathematics (2 papers)Bulletin of Mathematical Biology (2 papers)Computing in Science & Engineering (2 papers)
- Partner nations
- United StatesIndiaChina
In The Last Decade
Robert H. Dillon
35 papers receiving 1.4k citations
Peers
Comparison fields: 5 of 100
- Condensed Matter Physics 481
- Computational Mechanics 502
- Modeling and Simulation 105
- Biomedical Engineering 522
- Cell Biology 177
Countries citing papers authored by Robert H. Dillon
This map shows the geographic impact of Robert H. Dillon'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 Robert H. Dillon with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Robert H. Dillon more than expected).
Fields of papers citing papers by Robert H. Dillon
This network shows the impact of papers produced by Robert H. Dillon. 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 Robert H. Dillon. The network helps show where Robert H. Dillon may publish in the future.
Co-authors
The 25 scholars most cited alongside Robert H. Dillon, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 36 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2005 | 329 | |
| 2 | 1994 | 132 | |
| 3 | 1996 | 109 | |
| 4 | 1999 | 107 | |
| 5 | 2000 | 86 | |
| 6 | 1995 | 76 | |
| 7 | 2007 | 76 | |
| 8 | 2012 | 67 | |
| 9 | 2008 | 60 | |
| 10 | 2007 | 54 | |
| 11 | 2004 | 53 | |
| 12 | 2004 | 48 | |
| 13 | 2000 | 44 | |
| 14 | 2003 | 43 | |
| 15 | 2013 | 35 | |
| 16 | 2014 | 29 | |
| 17 | 2006 | 23 | |
| 18 | 2009 | 21 | |
| 19 | 2018 | 13 | |
| 20 | 2016 | 11 |
About Robert H. Dillon
Robert H. Dillon is a scholar working on Computational Mechanics, Condensed Matter Physics, Biomedical Engineering, Modeling and Simulation and Physical and Theoretical Chemistry, having authored 36 papers that have together received 1.5k indexed citations. Recurring topics across this work include Lattice Boltzmann Simulation Studies (16 papers), Micro and Nano Robotics (12 papers), Microfluidic and Bio-sensing Technologies (7 papers), Developmental Biology and Gene Regulation (4 papers), Electrohydrodynamics and Fluid Dynamics (3 papers), Electrostatics and Colloid Interactions (3 papers), Mathematical Biology Tumor Growth (3 papers) and Groundwater flow and contamination studies (2 papers). The work is most often cited by research in Condensed Matter Physics (481 citations), Computational Mechanics (502 citations), Modeling and Simulation (105 citations), Biomedical Engineering (522 citations) and Cell Biology (177 citations). Robert H. Dillon has collaborated with scholars based in United States, India and China. Frequent co-authors include Lisa Fauci, Hans G. Othmer, Donald P. Gaver, Philip K. Maini, Prashanta Dutta, Mohammad Robiul Hossan, Aaron L. Fogelson, Katarzyna A. Rejniak, Ricardo Cortez and Charlotte K. Omoto. Their work appears in journals such as Journal of Theoretical Biology, Journal of Computational Physics, Applied Numerical Mathematics, Bulletin of Mathematical Biology and Computing in Science & 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.