Ivan Jeliazkov
Impact in
- Statistics and Probability top 1%
- Statistical Methods and Bayesian Inference
- Statistical Methods and Inference
- Statistical Distribution Estimation and Applications
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- Monetary Policy and Economic Impact
Papers in
-
- Statistical Methods and Bayesian Inference 6
- Statistical Methods and Inference 6
- Markov Chains and Monte Carlo Methods 5
- Co-authors
- Siddhartha ChibJoshua C. C. ChanEdward GreenbergWilliam T. BiancoItai SenedOfer MintzImran S. CurrimSanjeev Dewan
- Journals
- Journal of the American Statistical Association (2 papers)Journal of Computational and Graphical Statistics (2 papers)FEMS Microbiology Ecology (1 paper)Bayesian Analysis (1 paper)Journal of Interactive Marketing (1 paper)
- Partner nations
- United StatesAustralia
In The Last Decade
Ivan Jeliazkov
17 papers receiving 1.0k citations
Hit Papers
Peers
Comparison fields: 5 of 109
- Statistics and Probability 355
- General Economics, Econometrics and Finance 272
- Finance 235
- Economics and Econometrics 395
- Artificial Intelligence 252
Countries citing papers authored by Ivan Jeliazkov
This map shows the geographic impact of Ivan Jeliazkov'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 Ivan Jeliazkov with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Ivan Jeliazkov more than expected).
Fields of papers citing papers by Ivan Jeliazkov
This network shows the impact of papers produced by Ivan Jeliazkov. 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 Ivan Jeliazkov. The network helps show where Ivan Jeliazkov may publish in the future.
Co-authors
The 25 scholars most cited alongside Ivan Jeliazkov, 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 | 2016 | 15 | |
| 2 | 2016 | 5 | |
| 3 | Bayesian inference in the social sciences | 2014 | 2 |
| 4 | 2013 | 15 | |
| 5 | A model-based ranking of U.S. recessions | 2010 | 3 |
| 6 | 2009 | 4 | |
| 7 | 2009 | 186 | |
| 8 | 2009 | 22 | |
| 9 | 2009 | 54 | |
| 10 | 2008 | 3 | |
| 11 | Political Instability, Institutions, and Economic Growth | 2006 | 4 |
| 12 | 2006 | 51 | |
| 13 | Accept-reject Metropolis-Hastings sampling and marginal likelihood estimation - eScholarship | 2005 | 1 |
| 14 | 2004 | 2 | |
| 15 | Semiparametric Hierarchical Bayes Analysis of Discrete Panel Data with State Dependence and Serial Correlation | 2004 | 3 |
| 16 | 2004 | 33 | |
| 17 | Marginal Likelihood From the Metropolis–Hastings Output Hit paper breakdown → | 2001 | 670 |
About Ivan Jeliazkov
Ivan Jeliazkov is a scholar working on Statistics and Probability, General Decision Sciences, Marketing, Economics and Econometrics and Artificial Intelligence, having authored 17 papers that have together received 1.1k indexed citations. Recurring topics across this work include Statistical Methods and Bayesian Inference (6 papers), Statistical Methods and Inference (6 papers), Bayesian Methods and Mixture Models (5 papers), Markov Chains and Monte Carlo Methods (5 papers), Economic and Environmental Valuation (2 papers), Political Conflict and Governance (2 papers), Terrorism, Counterterrorism, and Political Violence (2 papers) and Consumer Market Behavior and Pricing (2 papers). The work is most often cited by research in Statistics and Probability (355 citations), General Economics, Econometrics and Finance (272 citations), Finance (235 citations), Economics and Econometrics (395 citations) and Artificial Intelligence (252 citations). Ivan Jeliazkov has collaborated with scholars based in United States and Australia. Frequent co-authors include Siddhartha Chib, Joshua C. C. Chan, Edward Greenberg, William T. Bianco, Itai Sened, Ofer Mintz, Imran S. Currim, Sanjeev Dewan, J. Rodney Turner and Vidyanand Choudhary. Their work appears in journals such as Journal of the American Statistical Association, Journal of Computational and Graphical Statistics, FEMS Microbiology Ecology, Bayesian Analysis and Journal of Interactive Marketing.
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.