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
-
- Statistical Methods and Inference 19
- Finance 22
- Financial Risk and Volatility Modeling 21
- Co-authors
- Robert KohnPeter J. DanaherEric C. MarineauAnastasios PanagiotelisNick J. ParzialeTracey S. DanaherLudwig FahrmeirDavid Chan
- Journals
- Journal of the American Statistical Association (8 papers)Journal of Business and Economic Statistics (7 papers)Journal of Computational and Graphical Statistics (5 papers)Advances in Space Research (5 papers)International Journal of Forecasting (5 papers)
- Partner nations
- AustraliaUnited StatesGermany
In The Last Decade
Michael S. Smith
112 papers receiving 2.9k citations
Peers
Comparison fields: 5 of 151
- Statistics and Probability 881
- Finance 432
- Marketing 289
- General Economics, Econometrics and Finance 247
- Management Science and Operations Research 304
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-authorship network
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
| # | Work | ||
|---|---|---|---|
| 1 | 2025 | 0 | |
| 2 | 2024 | 1 | |
| 3 | 2024 | 0 | |
| 4 | 2023 | 0 | |
| 5 | 2020 | 18 | |
| 6 | Laser Rayleigh Scattering for Flow Density and Condensation Measurements in the Supercooled Mach-14 Free-Stream at AEDC Wind Tunnel No. 9 | 2019 | 2 |
| 7 | 2018 | 11 | |
| 8 | Some Matlab Routines to Compute CRPS and Quantile Weighted PS | 2015 | 0 |
| 9 | 2011 | 13 | |
| 10 | Modelling Longitudinal Data Using a Pair-Copula Decomposition of Serial Dependence | 2010 | 15 |
| 11 | 2010 | 19 | |
| 12 | 2009 | 2 | |
| 13 | Murky Precedent Meets Hazy Air: The Compact Clause and the Regional Greenhouse Gas Initiative | 2007 | 1 |
| 14 | 2005 | 16 | |
| 15 | 2005 | 4 | |
| 16 | 2004 | 17 | |
| 17 | 2003 | 41 | |
| 18 | 2003 | 44 | |
| 19 | Short-term forecasting of New South Wales electricity system load | 2000 | 3 |
| 20 | Finite sample performance of robust Bayesian regression | 1996 | 1 |
About Michael S. Smith
Michael S. Smith is a scholar working on Statistics and Probability, Finance, General Economics, Econometrics and Finance, Computational Mechanics and Ocean Engineering, having authored 128 papers that have together received 3.1k indexed citations. Recurring topics across this work include Fluid Dynamics and Turbulent Flows (23 papers), Financial Risk and Volatility Modeling (21 papers), Statistical Methods and Inference (19 papers), Computational Fluid Dynamics and Aerodynamics (15 papers), Particle Dynamics in Fluid Flows (14 papers), Bayesian Methods and Mixture Models (13 papers), Monetary Policy and Economic Impact (12 papers) and Aerospace Engineering and Energy Systems (12 papers). The work is most often cited by research in Statistics and Probability (881 citations), Finance (432 citations), Marketing (289 citations), General Economics, Econometrics and Finance (247 citations) and Management Science and Operations Research (304 citations). Michael S. Smith has collaborated with scholars based in Australia, United States and Germany. Frequent co-authors include Robert Kohn, Peter J. Danaher, Eric C. Marineau, Anastasios Panagiotelis, Nick J. Parziale, Tracey S. Danaher, Ludwig Fahrmeir, 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, Journal of Computational and Graphical Statistics, Advances in Space Research and International Journal of Forecasting.
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.