Michael Sekora
Impact in
- Astronomy and Astrophysics top 10%
- Astro and Planetary Science
- Planetary Science and Exploration
- Stellar, planetary, and galactic studies
- Computational Mechanics top 10%
- Computational Fluid Dynamics and Aerodynamics
- Fluid Dynamics and Turbulent Flows
- Advanced Numerical Methods in Computational Mathematics
Papers in
-
- Computational Fluid Dynamics and Aerodynamics 3
- Advanced Numerical Methods in Computational Mathematics 1
-
- Numerical methods for differential equations 1
- Co-authors
- Phillip Colella (1 shared paper)Robert H. Lupton (1 shared paper)Mario Jurić (1 shared paper)A. H. Parker (1 shared paper)Željko Ivezić (1 shared paper)Adam F. Kowalski (1 shared paper)James M. Stone (2 shared papers)Yong-Ik Byun (1 shared paper)
- Journals
- Journal of Computational Physics (2 papers)Icarus (1 paper)Project Euclid (Cornell University) (1 paper)
- Partner nations
- United StatesSouth KoreaCanada
In The Last Decade
Michael Sekora
5 papers receiving 294 citations
Peers
Comparison fields: 5 of 41
- Astronomy and Astrophysics 200
- Computational Mechanics 117
- Applied Mathematics 46
- Atmospheric Science 47
- Instrumentation 9
Countries citing papers authored by Michael Sekora
This map shows the geographic impact of Michael Sekora'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 Michael Sekora with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Michael Sekora more than expected).
Fields of papers citing papers by Michael Sekora
This network shows the impact of papers produced by Michael Sekora. 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 Michael Sekora. The network helps show where Michael Sekora may publish in the future.
Co-authors
The 9 scholars most cited alongside Michael Sekora, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2008 | 149 | |
| 2 | 2008 | 108 | |
| 3 | Detecting Variability in Massive Astronomical Time-Series Data I: application of an infinite Gaussian mixture model | 2012 | 28 |
| 4 | 2010 | 22 | |
| 5 | 2009 | 7 |
About Michael Sekora
Michael Sekora is a scholar working on Computational Mechanics, Numerical Analysis, Astronomy and Astrophysics, Mathematical Physics and Artificial Intelligence, having authored 5 papers that have together received 314 indexed citations. Recurring topics across this work include Computational Fluid Dynamics and Aerodynamics (3 papers), Advanced Statistical Methods and Models (1 paper), Spectroscopy and Chemometric Analyses (1 paper), Stellar, planetary, and galactic studies (1 paper), Astrophysics and Star Formation Studies (1 paper), Numerical methods for differential equations (1 paper), Advanced Mathematical Physics Problems (1 paper) and Advanced Numerical Methods in Computational Mathematics (1 paper). The work is most often cited by research in Astronomy and Astrophysics (200 citations), Computational Mechanics (117 citations), Applied Mathematics (46 citations), Atmospheric Science (47 citations) and Instrumentation (9 citations). Michael Sekora has collaborated with scholars based in United States, South Korea and Canada. Frequent co-authors include Phillip Colella, Robert H. Lupton, Mario Jurić, A. H. Parker, Željko Ivezić, Adam F. Kowalski, James M. Stone, Yong-Ik Byun and Min‐Su Shin. Their work appears in journals such as Journal of Computational Physics, Icarus and Project Euclid (Cornell University).
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.