Robert Kohn
Impact in
- Statistics and Probability top 0.05%
- Markov Chains and Monte Carlo Methods
- Statistical Methods and Inference
- Statistical Methods and Bayesian Inference
- Finance top 1%
- Financial Risk and Volatility Modeling
Papers in
-
- Markov Chains and Monte Carlo Methods 55
- Statistical Methods and Inference 31
- Statistical Methods and Bayesian Inference 29
- Advanced Statistical Methods and Models 21
-
- Statistical and numerical algorithms 43
- Co-authors
- Chris Carter (12 shared papers)Craig F. Ansley (42 shared papers)Michael S. Smith (14 shared papers)Paolo E. Giordani (8 shared papers)David John Nott (17 shared papers)David Chan (4 shared papers)Minh‐Ngoc Tran (22 shared papers)Michael K Pitt (3 shared papers)
- Journals
- Biometrika (21 papers)Journal of the American Statistical Association (16 papers)Journal of Econometrics (16 papers)Journal of Computational and Graphical Statistics (15 papers)Statistics and Computing (9 papers)
- Partner nations
- AustraliaUnited StatesSweden
In The Last Decade
Robert Kohn
187 papers receiving 5.9k citations
Robert Kohn's Hit Papers
Peers
Comparison fields: 5 of 164
- Statistics and Probability 2.7k
- Finance 738
- General Economics, Econometrics and Finance 567
- Applied Mathematics 659
- Artificial Intelligence 1.2k
Countries citing papers authored by Robert Kohn
This map shows the geographic impact of Robert Kohn'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 Robert Kohn with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Robert Kohn more than expected).
Fields of papers citing papers by Robert Kohn
This network shows the impact of papers produced by Robert Kohn. 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 Robert Kohn. The network helps show where Robert Kohn may publish in the future.
Co-authors
The 25 scholars most cited alongside Robert Kohn, 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 196 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | On Gibbs sampling for state space models Hit paper breakdown → | 1994 | 1167 |
| 2 | 1996 | 414 | |
| 3 | 2002 | 176 | |
| 4 | 2006 | 172 | |
| 5 | 2012 | 172 | |
| 6 | 1986 | 168 | |
| 7 | 1976 | 163 | |
| 8 | 1985 | 163 | |
| 9 | 2015 | 147 | |
| 10 | 2002 | 137 | |
| 11 | 2001 | 130 | |
| 12 | 2007 | 106 | |
| 13 | 2000 | 99 | |
| 14 | 1989 | 86 | |
| 15 | 1999 | 84 | |
| 16 | 2018 | 80 | |
| 17 | 1996 | 78 | |
| 18 | 2010 | 75 | |
| 19 | 1983 | 73 | |
| 20 | 2000 | 73 |
About Robert Kohn
Robert Kohn is a scholar working on Statistics and Probability, Applied Mathematics, Artificial Intelligence, Control and Systems Engineering and Finance, having authored 196 papers that have together received 6.5k indexed citations. Recurring topics across this work include Markov Chains and Monte Carlo Methods (55 papers), Statistical and numerical algorithms (43 papers), Statistical Methods and Inference (31 papers), Statistical Methods and Bayesian Inference (29 papers), Control Systems and Identification (23 papers), Bayesian Methods and Mixture Models (22 papers), Advanced Statistical Methods and Models (21 papers) and Gaussian Processes and Bayesian Inference (17 papers). The work is most often cited by research in Statistics and Probability (2.7k citations), Finance (738 citations), General Economics, Econometrics and Finance (567 citations), Applied Mathematics (659 citations) and Artificial Intelligence (1.2k citations). Robert Kohn has collaborated with scholars based in Australia, United States and Sweden. Frequent co-authors include Chris Carter, Craig F. Ansley, Michael S. Smith, Paolo E. Giordani, David John Nott, David Chan, Minh‐Ngoc Tran, Michael K Pitt, Sally Ann Wood and Mattias Villani. Their work appears in journals such as Biometrika, Journal of the American Statistical Association, Journal of Econometrics, Journal of Computational and Graphical Statistics and Statistics and Computing.
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.