Lawrence Sirovich
- Computational Mechanics top 0.1%
- Statistical and Nonlinear Physics top 0.1%
- Aerospace Engineering top 0.5%
- Statistics, Probability and Uncertainty top 0.1%
- Environmental Engineering top 1%
- Co-authors
- Edward B. GoldmanPaul K. NewtonSture K. F. KarlssonAnil E. DeanePadmini RangamaniVictor YakhotSidney YipAkira Sugawara
- Topics
- Gas Dynamics and Kinetic Theory (25 papers)Fluid Dynamics and Turbulent Flows (21 papers)Computational Fluid Dynamics and Aerodynamics (12 papers)
- Cited by
- Statistical and Nonlinear PhysicsComputational MechanicsStatistics, Probability and Uncertainty
- Partner nations
- United States
In The Last Decade
Lawrence Sirovich
69 papers receiving 6.0k citations
Hit Papers
Peers
Comparison fields: 5 of 133
- Computational Mechanics 3.9k
- Statistical and Nonlinear Physics 2.6k
- Aerospace Engineering 1.7k
- Statistics, Probability and Uncertainty 948
- Environmental Engineering 672
Countries citing papers authored by Lawrence Sirovich
This map shows the geographic impact of Lawrence Sirovich'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 Lawrence Sirovich with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Lawrence Sirovich more than expected).
Fields of papers citing papers by Lawrence Sirovich
This network shows the impact of papers produced by Lawrence Sirovich. 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 Lawrence Sirovich. The network helps show where Lawrence Sirovich may publish in the future.
Co-authorship network of co-authors of Lawrence Sirovich
This figure shows the co-authorship network connecting the top 25 collaborators of Lawrence Sirovich. A scholar is included among the top collaborators of Lawrence Sirovich 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 Lawrence Sirovich. Lawrence Sirovich is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 2 | |
| 2 | 7 | |
| 3 | 20 | |
| 4 | 23 | |
| 5 | 24 | |
| 6 | 1 | |
| 7 | 57 | |
| 8 | 12 | |
| 9 | 14 | |
| 10 | 25 | |
| 11 | A pattern analysis of the second Rehnquist U.S. | 11 |
| 12 | 7 | |
| 13 | Spatiotemporal chaos in the complex ginzburg-landau equation and other studies in nonlinear dynamics | 1 |
| 14 | 23 | |
| 15 | 34 | |
| 16 | 4 | |
| 17 | 2 | |
| 18 | 2 | |
| 19 | 6 | |
| 20 | 143 |
About Lawrence Sirovich
Lawrence Sirovich is a scholar working on Applied Mathematics, Statistical and Nonlinear Physics and Computational Mechanics, having authored 70 papers that have together received 6.3k indexed citations. Recurring topics across this work include Gas Dynamics and Kinetic Theory (25 papers), Fluid Dynamics and Turbulent Flows (21 papers) and Computational Fluid Dynamics and Aerodynamics (12 papers). The work is most often cited by research in Statistical and Nonlinear Physics (2.6k citations), Computational Mechanics (3.9k citations) and Statistics, Probability and Uncertainty (948 citations). Lawrence Sirovich has collaborated with scholars based in United States. Frequent co-authors include Edward B. Goldman, Paul K. Newton, Sture K. F. Karlsson, Anil E. Deane, Padmini Rangamani, Victor Yakhot, Sidney Yip, Akira Sugawara, Leslie Smith and Ahmet Omurtag. Their work appears in journals such as Proceedings of the National Academy of Sciences, Physical Review Letters and PLoS ONE.
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.