Udi E. Makov
Impact in
- Artificial Intelligence top 0.5%
- Bayesian Methods and Mixture Models
- Advanced Clustering Algorithms Research
- Target Tracking and Data Fusion in Sensor Networks
- Statistics and Probability top 0.5%
- Statistical Distribution Estimation and Applications
- Statistical Methods and Bayesian Inference
Papers in
-
- Probability and Risk Models 14
- Risk and Portfolio Optimization 8
-
- Bayesian Methods and Mixture Models 7
- Privacy-Preserving Technologies in Data 1
- Co-authors
- A. F. M. Smith (7 shared papers)D. Michael Titterington (2 shared papers)Bruce G. Lindsay (1 shared paper)Zinoviy M. Landsman (25 shared papers)Tomer Shushi (8 shared papers)S. T. Boris Choy (4 shared papers)Jennifer So Kuen Chan (5 shared papers)Jing Yao (2 shared papers)
- Journals
- Insurance Mathematics and Economics (8 papers)IEEE Transactions on Information Theory (3 papers)European Journal of Finance (3 papers)Astin Bulletin (2 papers)Journal of Optimization Theory and Applications (2 papers)
- Partner nations
- IsraelUnited KingdomAustralia
In The Last Decade
Udi E. Makov
49 papers receiving 4.2k citations
Udi E. Makov's Hit Papers
Peers
Comparison fields: 5 of 118
- Artificial Intelligence 1.6k
- Statistics and Probability 434
- Management Science and Operations Research 332
- Computer Vision and Pattern Recognition 195
- Finance 56
Countries citing papers authored by Udi E. Makov
This map shows the geographic impact of Udi E. Makov'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 Udi E. Makov with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Udi E. Makov more than expected).
Fields of papers citing papers by Udi E. Makov
This network shows the impact of papers produced by Udi E. Makov. 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 Udi E. Makov. The network helps show where Udi E. Makov may publish in the future.
Co-authors
The 21 scholars most cited alongside Udi E. Makov, 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 53 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | Statistical Analysis of Finite Mixture Distributions. Hit paper breakdown → | 1987 | 2303 |
| 2 | Statistical Analysis of Finite Mixture Distributions. Hit paper breakdown → | 1986 | 1650 |
| 3 | 1978 | 66 | |
| 4 | 1996 | 51 | |
| 5 | 1998 | 31 | |
| 6 | 2001 | 30 | |
| 7 | 2016 | 28 | |
| 8 | 2016 | 28 | |
| 9 | 1977 | 27 | |
| 10 | 1991 | 23 | |
| 11 | 2017 | 23 | |
| 12 | 2016 | 21 | |
| 13 | 1999 | 19 | |
| 14 | 2008 | 17 | |
| 15 | 2018 | 14 | |
| 16 | 1994 | 12 | |
| 17 | 1995 | 12 | |
| 18 | 2019 | 12 | |
| 19 | 2002 | 11 | |
| 20 | 2004 | 9 |
About Udi E. Makov
Udi E. Makov is a scholar working on Management Science and Operations Research, Artificial Intelligence, Finance, Demography and Nephrology, having authored 53 papers that have together received 4.5k indexed citations. Recurring topics across this work include Probability and Risk Models (14 papers), Risk and Portfolio Optimization (8 papers), Bayesian Methods and Mixture Models (7 papers), Financial Risk and Volatility Modeling (3 papers), Insurance, Mortality, Demography, Risk Management (2 papers), Insurance and Financial Risk Management (1 paper), Privacy-Preserving Technologies in Data (1 paper) and Statistical Distribution Estimation and Applications (1 paper). The work is most often cited by research in Artificial Intelligence (1.6k citations), Statistics and Probability (434 citations), Management Science and Operations Research (332 citations), Computer Vision and Pattern Recognition (195 citations) and Finance (56 citations). Udi E. Makov has collaborated with scholars based in Israel, United Kingdom and Australia. Frequent co-authors include A. F. M. Smith, D. Michael Titterington, Bruce G. Lindsay, Zinoviy M. Landsman, Tomer Shushi, S. T. Boris Choy, Jennifer So Kuen Chan, Jing Yao, Fima C. Klebaner and Mario Trottini. Their work appears in journals such as Insurance Mathematics and Economics, IEEE Transactions on Information Theory, European Journal of Finance, Astin Bulletin and Journal of Optimization Theory and Applications.
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.