L. Sirovich
- Computer Vision and Pattern Recognition top 0.2%
- Computational Mechanics top 0.2%
- Statistical and Nonlinear Physics top 0.5%
- Signal Processing top 1%
- Aerospace Engineering top 2%
- Co-authors
- Michael KirbyKenneth S. BallJ. D. RodríguezLaurence KeefeRichard EversonB. W. KnightR. HandlerKenneth Breuer
- Topics
- Fluid Dynamics and Turbulent Flows (27 papers)Model Reduction and Neural Networks (8 papers)Fluid Dynamics and Vibration Analysis (8 papers)
- Cited by
- Computer Vision and Pattern RecognitionStatistical and Nonlinear PhysicsComputational Mechanics
- Journals
- Physical Review LettersPLoS ONEIEEE Transactions on Pattern Analysis and Machine Intelligence
- Partner nations
- United StatesBulgariaSaudi Arabia
In The Last Decade
L. Sirovich
46 papers receiving 5.3k citations
Hit Papers
Peers
Comparison fields: 5 of 147
- Computer Vision and Pattern Recognition 2.6k
- Computational Mechanics 2.1k
- Statistical and Nonlinear Physics 1.3k
- Signal Processing 753
- Aerospace Engineering 637
Countries citing papers authored by L. Sirovich
This map shows the geographic impact of L. 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 L. Sirovich with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites L. Sirovich more than expected).
Fields of papers citing papers by L. Sirovich
This network shows the impact of papers produced by L. 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 L. Sirovich. The network helps show where L. Sirovich may publish in the future.
Co-authorship network of co-authors of L. Sirovich
This figure shows the co-authorship network connecting the top 25 collaborators of L. Sirovich. A scholar is included among the top collaborators of L. 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 L. Sirovich. L. 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 | 0 | |
| 2 | 37 | |
| 3 | 1 | |
| 4 | 50 | |
| 5 | 3 | |
| 6 | 10 | |
| 7 | 17 | |
| 8 | 13 | |
| 9 | 70 | |
| 10 | 53 | |
| 11 | Application of the Karhunen-Loeve procedure for the characterization of human facesbreakdown → | 1643 |
| 12 | 37 | |
| 13 | 70 | |
| 14 | 66 | |
| 15 | 74 | |
| 16 | 37 | |
| 17 | Low-dimensional procedure for the characterization of human face. | 17 |
| 18 | Low-dimensional procedure for the characterization of human facesbreakdown → | 1487 |
| 19 | 91 | |
| 20 | 7 |
About L. Sirovich
L. Sirovich is a scholar working on Computational Mechanics, Statistical and Nonlinear Physics and Environmental Engineering, having authored 48 papers that have together received 5.8k indexed citations. Recurring topics across this work include Fluid Dynamics and Turbulent Flows (27 papers), Model Reduction and Neural Networks (8 papers) and Fluid Dynamics and Vibration Analysis (8 papers). The work is most often cited by research in Computer Vision and Pattern Recognition (2.6k citations), Statistical and Nonlinear Physics (1.3k citations) and Computational Mechanics (2.1k citations). L. Sirovich has collaborated with scholars based in United States, Bulgaria and Saudi Arabia. Frequent co-authors include Michael Kirby, Kenneth S. Ball, J. D. Rodríguez, Laurence Keefe, Richard Everson, B. W. Knight, R. Handler, Kenneth Breuer, Anil E. Deane and P.S. Penev. Their work appears in journals such as Physical Review Letters, PLoS ONE and IEEE Transactions on Pattern Analysis and Machine Intelligence.
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.