Robert L. Pego
- Statistical and Nonlinear Physics top 0.5%
- Mathematical Physics top 0.5%
- Applied Mathematics top 0.5%
- Computational Mechanics top 1%
- Computational Theory and Mathematics top 0.5%
- Co-authors
- Michael I. WeinsteinGero FrieseckeDiana A. StavrevaJames G. McNallyBrian L. SpragueBarbara NiethammerJian‐Guo LiuAndrew J. Majda
- Topics
- Advanced Mathematical Physics Problems (29 papers)Navier-Stokes equation solutions (25 papers)Advanced Mathematical Modeling in Engineering (23 papers)
- Partner nations
- United StatesUnited KingdomGermany
In The Last Decade
Robert L. Pego
97 papers receiving 3.5k citations
Hit Papers
Peers
Comparison fields: 5 of 124
- Statistical and Nonlinear Physics 1.3k
- Mathematical Physics 1.1k
- Applied Mathematics 730
- Computational Mechanics 672
- Computational Theory and Mathematics 626
Countries citing papers authored by Robert L. Pego
This map shows the geographic impact of Robert L. Pego'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 L. Pego with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Robert L. Pego more than expected).
Fields of papers citing papers by Robert L. Pego
This network shows the impact of papers produced by Robert L. Pego. 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 L. Pego. The network helps show where Robert L. Pego may publish in the future.
Co-authorship network of co-authors of Robert L. Pego
This figure shows the co-authorship network connecting the top 25 collaborators of Robert L. Pego. A scholar is included among the top collaborators of Robert L. Pego 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 Robert L. Pego. Robert L. Pego is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 0 | |
| 2 | 8 | |
| 3 | 0 | |
| 4 | 2 | |
| 5 | 15 | |
| 6 | Euler sprays and Wasserstein geometry of the space of shapes | 1 |
| 7 | 3 | |
| 8 | 4 | |
| 9 | 75 | |
| 10 | Analysis of Binding Reactions by Fluorescence Recovery after Photobleachingbreakdown → | 499 |
| 11 | 70 | |
| 12 | 6 | |
| 13 | 308 | |
| 14 | 14 | |
| 15 | 24 | |
| 16 | Stability of discontinuous steady states in shearing motion of a non-Newtonian fluid | 3 |
| 17 | 332 | |
| 18 | 24 | |
| 19 | 119 | |
| 20 | 25 |
About Robert L. Pego
Robert L. Pego is a scholar working on Mathematical Physics, Applied Mathematics and Statistical and Nonlinear Physics, having authored 100 papers that have together received 3.9k indexed citations. Recurring topics across this work include Advanced Mathematical Physics Problems (29 papers), Navier-Stokes equation solutions (25 papers) and Advanced Mathematical Modeling in Engineering (23 papers). The work is most often cited by research in Mathematical Physics (1.1k citations), Statistical and Nonlinear Physics (1.3k citations) and Applied Mathematics (730 citations). Robert L. Pego has collaborated with scholars based in United States, United Kingdom and Germany. Frequent co-authors include Michael I. Weinstein, Gero Friesecke, Diana A. Stavreva, James G. McNally, Brian L. Sprague, Barbara Niethammer, Jian‐Guo Liu, Andrew J. Majda, Amy Novick-Cohen and Govind Menon. Their work appears in journals such as Journal of Applied Physics, Journal of Computational Physics and Biophysical Journal.
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.