Mark D. Conner
Impact in
- Computational Mechanics top 5%
- Fluid Dynamics and Vibration Analysis
- Computational Fluid Dynamics and Aerodynamics
- Aerospace Engineering top 5%
- Aeroelasticity and Vibration Control
Papers in
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- Model Reduction and Neural Networks 3
- Quantum chaos and dynamical systems 1
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- Computational Fluid Dynamics and Aerodynamics 5
- Fluid Dynamics and Vibration Analysis 3
- Fluid Dynamics and Turbulent Flows 2
- Co-authors
- Earl H. Dowell (7 shared papers)Lawrence N. Virgin (5 shared papers)Deman Tang (3 shared papers)Grant W. Petty (1 shared paper)Jeffrey S. Vipperman (2 shared papers)Robert L. Clark (2 shared papers)Dong Tang (1 shared paper)John T. Kuo (1 shared paper)
- Journals
- Journal of Aircraft (2 papers)Bulletin of the Seismological Society of America (1 paper)Nonlinear Dynamics (1 paper)Weather and Forecasting (1 paper)Journal of Atmospheric and Oceanic Technology (1 paper)
- Partner nations
- United States
In The Last Decade
Mark D. Conner
12 papers receiving 471 citations
Peers
Comparison fields: 5 of 31
- Computational Mechanics 265
- Aerospace Engineering 316
- Statistics, Probability and Uncertainty 42
- Civil and Structural Engineering 120
- Control and Systems Engineering 117
Countries citing papers authored by Mark D. Conner
This map shows the geographic impact of Mark D. Conner'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 Mark D. Conner with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Mark D. Conner more than expected).
Fields of papers citing papers by Mark D. Conner
This network shows the impact of papers produced by Mark D. Conner. 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 Mark D. Conner. The network helps show where Mark D. Conner may publish in the future.
Co-authors
The 12 scholars most cited alongside Mark D. Conner, 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 | 1997 | 219 | |
| 2 | 1998 | 65 | |
| 3 | 1998 | 64 | |
| 4 | 1996 | 49 | |
| 5 | 1998 | 40 | |
| 6 | 1999 | 24 | |
| 7 | 1997 | 12 | |
| 8 | 1997 | 10 | |
| 9 | 1968 | 5 | |
| 10 | 2016 | 3 | |
| 11 | 1989 | 3 | |
| 12 | 1996 | 2 |
About Mark D. Conner
Mark D. Conner is a scholar working on Statistical and Nonlinear Physics, Computational Mechanics, Aerospace Engineering, Global and Planetary Change and Numerical Analysis, having authored 12 papers that have together received 496 indexed citations. Recurring topics across this work include Computational Fluid Dynamics and Aerodynamics (5 papers), Model Reduction and Neural Networks (3 papers), Fluid Dynamics and Vibration Analysis (3 papers), Aeroelasticity and Vibration Control (3 papers), Fluid Dynamics and Turbulent Flows (2 papers), Atmospheric aerosols and clouds (1 paper), Quantum chaos and dynamical systems (1 paper) and Wind and Air Flow Studies (1 paper). The work is most often cited by research in Computational Mechanics (265 citations), Aerospace Engineering (316 citations), Statistics, Probability and Uncertainty (42 citations), Civil and Structural Engineering (120 citations) and Control and Systems Engineering (117 citations). Mark D. Conner has collaborated with scholars based in United States. Frequent co-authors include Earl H. Dowell, Lawrence N. Virgin, Deman Tang, Grant W. Petty, Jeffrey S. Vipperman, Robert L. Clark, Dong Tang, John T. Kuo, John T. Snow and Richard Lynch. Their work appears in journals such as Journal of Aircraft, Bulletin of the Seismological Society of America, Nonlinear Dynamics, Weather and Forecasting and Journal of Atmospheric and Oceanic Technology.
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.