Robert Kohn
Impact in
- Statistics and Probability top 0.1%
- Statistical Methods and Inference
- Statistical Methods and Bayesian Inference
- Advanced Statistical Methods and Models
-
- Monetary Policy and Economic Impact
Papers in
-
- Statistical Methods and Inference 70
- Statistical Methods and Bayesian Inference 52
- Advanced Statistical Methods and Models 30
- Markov Chains and Monte Carlo Methods 23
-
- Bayesian Methods and Mixture Models 58
- Target Tracking and Data Fusion in Sensor Networks 15
- Co-authors
- Chris Carter (12 shared papers)Craig F. Ansley (51 shared papers)Michael S. Smith (14 shared papers)M. Pitt (8 shared papers)Paolo Giordani (13 shared papers)David Chan (6 shared papers)David J. Nott (17 shared papers)Sally Wood (8 shared papers)
- Journals
- Biometrika (27 papers)Journal of the American Statistical Association (24 papers)Journal of Econometrics (16 papers)Journal of Computational and Graphical Statistics (14 papers)Journal of Statistical Computation and Simulation (8 papers)
- Partner nations
- AustraliaUnited StatesSweden
In The Last Decade
Robert Kohn
207 papers receiving 5.7k citations
Robert Kohn's Hit Papers
Peers
Comparison fields: 5 of 195
- Statistics and Probability 2.3k
- General Economics, Econometrics and Finance 1.1k
- Finance 1.3k
- Management Science and Operations Research 784
- Economics and Econometrics 1.7k
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 218 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 | 1292 |
| 2 | 1996 | 398 | |
| 3 | 2002 | 164 | |
| 4 | 2006 | 161 | |
| 5 | 1985 | 156 | |
| 6 | 1976 | 155 | |
| 7 | 1986 | 151 | |
| 8 | 2012 | 141 | |
| 9 | 2002 | 139 | |
| 10 | 2001 | 129 | |
| 11 | 2015 | 118 | |
| 12 | 2000 | 106 | |
| 13 | 1989 | 81 | |
| 14 | 1994 | 73 | |
| 15 | 1996 | 70 | |
| 16 | 2018 | 69 | |
| 17 | 2000 | 68 | |
| 18 | 2006 | 67 | |
| 19 | 1983 | 67 | |
| 20 | 2010 | 66 |
About Robert Kohn
Robert Kohn is a scholar working on Statistics and Probability, Artificial Intelligence, Finance, Economics and Econometrics and Control and Systems Engineering, having authored 218 papers that have together received 6.2k indexed citations. Recurring topics across this work include Statistical Methods and Inference (70 papers), Bayesian Methods and Mixture Models (58 papers), Statistical Methods and Bayesian Inference (52 papers), Financial Risk and Volatility Modeling (33 papers), Advanced Statistical Methods and Models (30 papers), Markov Chains and Monte Carlo Methods (23 papers), Target Tracking and Data Fusion in Sensor Networks (15 papers) and Fault Detection and Control Systems (13 papers). The work is most often cited by research in Statistics and Probability (2.3k citations), General Economics, Econometrics and Finance (1.1k citations), Finance (1.3k citations), Management Science and Operations Research (784 citations) and Economics and Econometrics (1.7k 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, M. Pitt, Paolo Giordani, David Chan, David J. Nott, Sally Wood, Mattias Villani and Thomas S. Shively. Their work appears in journals such as Biometrika, Journal of the American Statistical Association, Journal of Econometrics, Journal of Computational and Graphical Statistics and Journal of Statistical Computation and Simulation.
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.