David Uminsky
Impact in
- Modeling and Simulation top 2%
- Mathematical Biology Tumor Growth
- Mathematical Physics top 10%
- Mathematical Dynamics and Fractals
Papers in ⓘ
-
- Mathematical Biology Tumor Growth 3
- Co-authors
- Andrea L. Bertozzi (5 shared papers)Théodore Kolokolnikov (3 shared papers)James H. von Brecht (3 shared papers)Hui Sun (4 shared papers)Robert L. Devaney (1 shared paper)Karen Yeats (4 shared papers)Dirk Kreimer (3 shared papers)Paul E. Anderson (1 shared paper)
- Journals
- Annals of Physics (2 papers)Scientific Reports (1 paper)Journal of Nonlinear Science (1 paper)Indiana University Mathematics Journal (1 paper)International Journal of Non-Linear Mechanics (1 paper)
- Partner nations
- United StatesFranceCanada
In The Last Decade
David Uminsky
25 papers receiving 452 citations
Peers
Comparison fields: 5 of 85
- Modeling and Simulation 144
- Mathematical Physics 116
- Geometry and Topology 76
- Statistical and Nonlinear Physics 106
- Applied Mathematics 73
Countries citing papers authored by David Uminsky
This map shows the geographic impact of David Uminsky'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 Uminsky with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites David Uminsky more than expected).
Fields of papers citing papers by David Uminsky
This network shows the impact of papers produced by David Uminsky. 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 Uminsky. The network helps show where David Uminsky may publish in the future.
Co-authors
The 20 scholars most cited alongside David Uminsky, 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 25 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2011 | 85 | |
| 2 | 2005 | 78 | |
| 3 | 2011 | 62 | |
| 4 | 2015 | 43 | |
| 5 | 2012 | 36 | |
| 6 | 2022 | 31 | |
| 7 | 2009 | 16 | |
| 8 | 2008 | 14 | |
| 9 | 2012 | 13 | |
| 10 | 2009 | 12 | |
| 11 | 2010 | 11 | |
| 12 | 2014 | 11 | |
| 13 | 2008 | 10 | |
| 14 | 2012 | 10 | |
| 15 | 2007 | 9 | |
| 16 | 2016 | 8 | |
| 17 | 2023 | 7 | |
| 18 | 2006 | 6 | |
| 19 | 2011 | 5 | |
| 20 | 2020 | 4 |
About David Uminsky
David Uminsky is a scholar working on Modeling and Simulation, General Decision Sciences, Algebra and Number Theory, Biophysics and Mathematical Physics, having authored 25 papers that have together received 481 indexed citations. Recurring topics across this work include Nonlinear Dynamics and Pattern Formation (3 papers), Slime Mold and Myxomycetes Research (3 papers), Diffusion and Search Dynamics (3 papers), Mathematical Biology Tumor Growth (3 papers), Cell Image Analysis Techniques (2 papers), Image Processing Techniques and Applications (2 papers), Black Holes and Theoretical Physics (2 papers) and Fluid Dynamics and Turbulent Flows (2 papers). The work is most often cited by research in Modeling and Simulation (144 citations), Mathematical Physics (116 citations), Geometry and Topology (76 citations), Statistical and Nonlinear Physics (106 citations) and Applied Mathematics (73 citations). David Uminsky has collaborated with scholars based in United States, France and Canada. Frequent co-authors include Andrea L. Bertozzi, Théodore Kolokolnikov, James H. von Brecht, Hui Sun, Robert L. Devaney, Karen Yeats, Dirk Kreimer, Paul E. Anderson, John Calambokidis and G. Sandri. Their work appears in journals such as Annals of Physics, Scientific Reports, Journal of Nonlinear Science, Indiana University Mathematics Journal and International Journal of Non-Linear Mechanics.
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.