Michael S. Smith
Impact in
- Statistics and Probability top 0.5%
- Statistical Methods and Inference
- Statistical Methods and Bayesian Inference
- Finance top 2%
- Financial Risk and Volatility Modeling
Papers in
-
- Fluid Dynamics and Turbulent Flows 23
- Computational Fluid Dynamics and Aerodynamics 15
-
- Aerospace Engineering and Energy Systems 12
- Co-authors
- Robert Kohn (14 shared papers)Peter J. Danaher (6 shared papers)Eric C. Marineau (21 shared papers)Anastasios Panagiotelis (5 shared papers)Nick J. Parziale (9 shared papers)Ludwig Fahrmeir (2 shared papers)Tracey S. Danaher (1 shared paper)David Chan (1 shared paper)
- Journals
- Journal of the American Statistical Association (8 papers)Journal of Business and Economic Statistics (5 papers)Advances in Space Research (5 papers)International Journal of Forecasting (3 papers)AIAA Journal (3 papers)
- Partner nations
- United StatesAustraliaGermany
In The Last Decade
Michael S. Smith
101 papers receiving 2.7k citations
Peers
Comparison fields: 5 of 146
- Statistics and Probability 826
- Finance 364
- Marketing 245
- General Economics, Econometrics and Finance 204
- Computational Mechanics 470
Countries citing papers authored by Michael S. Smith
This map shows the geographic impact of Michael S. Smith'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 S. Smith with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Michael S. Smith more than expected).
Fields of papers citing papers by Michael S. Smith
This network shows the impact of papers produced by Michael S. Smith. 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 S. Smith. The network helps show where Michael S. Smith may publish in the future.
Co-authors
The 25 scholars most cited alongside Michael S. Smith, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 116 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 1996 | 402 | |
| 2 | 2015 | 185 | |
| 3 | 2002 | 137 | |
| 4 | 2010 | 134 | |
| 5 | 2001 | 130 | |
| 6 | 2010 | 125 | |
| 7 | 2008 | 95 | |
| 8 | 2007 | 91 | |
| 9 | 2003 | 84 | |
| 10 | 2015 | 73 | |
| 11 | 2000 | 68 | |
| 12 | 2010 | 66 | |
| 13 | 2012 | 66 | |
| 14 | 2016 | 54 | |
| 15 | 2007 | 48 | |
| 16 | 2000 | 47 | |
| 17 | 2003 | 44 | |
| 18 | 2003 | 41 | |
| 19 | 2011 | 40 | |
| 20 | 2017 | 39 |
About Michael S. Smith
Michael S. Smith is a scholar working on Computational Mechanics, Aerospace Engineering, Statistics and Probability, Finance and Ocean Engineering, having authored 116 papers that have together received 2.9k indexed citations. Recurring topics across this work include Fluid Dynamics and Turbulent Flows (23 papers), Statistical Methods and Inference (15 papers), Financial Risk and Volatility Modeling (15 papers), Computational Fluid Dynamics and Aerodynamics (15 papers), Particle Dynamics in Fluid Flows (14 papers), Aerospace Engineering and Energy Systems (12 papers), Bayesian Methods and Mixture Models (12 papers) and Gas Dynamics and Kinetic Theory (10 papers). The work is most often cited by research in Statistics and Probability (826 citations), Finance (364 citations), Marketing (245 citations), General Economics, Econometrics and Finance (204 citations) and Computational Mechanics (470 citations). Michael S. Smith has collaborated with scholars based in United States, Australia and Germany. Frequent co-authors include Robert Kohn, Peter J. Danaher, Eric C. Marineau, Anastasios Panagiotelis, Nick J. Parziale, Ludwig Fahrmeir, Tracey S. Danaher, David Chan, Claudia Czado and Aleksey Min. Their work appears in journals such as Journal of the American Statistical Association, Journal of Business and Economic Statistics, Advances in Space Research, International Journal of Forecasting and AIAA 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.