Shaul K. Bar‐Lev
- Statistics and Probability top 1%
- Artificial Intelligence top 10%
- Management Information Systems top 5%
- Management Science and Operations Research top 5%
- Finance top 10%
- Co-authors
- Peter EnisDavid PerryBen BoukaiWolfgang StadjeDaoud BshoutyMahmut ParlarBenjamin ReiserF.A. van der Duyn Schouten
- Topics
- Statistical Distribution Estimation and Applications (39 papers)Bayesian Methods and Mixture Models (20 papers)Statistical Methods and Bayesian Inference (17 papers)
- Cited by
- Statistics and ProbabilityManagement Information SystemsStatistics, Probability and Uncertainty
- Journals
- SHILAP Revista de lepidopterologíaJournal of the American Statistical AssociationEuropean Journal of Operational Research
- Partner nations
- IsraelUnited StatesNetherlands
In The Last Decade
Shaul K. Bar‐Lev
84 papers receiving 668 citations
Peers
Comparison fields: 5 of 103
- Statistics and Probability 351
- Artificial Intelligence 159
- Management Information Systems 138
- Management Science and Operations Research 94
- Finance 72
Countries citing papers authored by Shaul K. Bar‐Lev
This map shows the geographic impact of Shaul K. Bar‐Lev'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 Shaul K. Bar‐Lev with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Shaul K. Bar‐Lev more than expected).
Fields of papers citing papers by Shaul K. Bar‐Lev
This network shows the impact of papers produced by Shaul K. Bar‐Lev. 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 Shaul K. Bar‐Lev. The network helps show where Shaul K. Bar‐Lev may publish in the future.
Co-authorship network of co-authors of Shaul K. Bar‐Lev
This figure shows the co-authorship network connecting the top 25 collaborators of Shaul K. Bar‐Lev. A scholar is included among the top collaborators of Shaul K. Bar‐Lev based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Shaul K. Bar‐Lev. Shaul K. Bar‐Lev is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 1 | |
| 2 | 1 | |
| 3 | 5 | |
| 4 | 2 | |
| 5 | 1 | |
| 6 | 0 | |
| 7 | 0 | |
| 8 | 1 | |
| 9 | 59 | |
| 10 | 4 | |
| 11 | Zero regression characterizations of natural exponential families generated by Levy stable laws - a complementary | 2 |
| 12 | 3 | |
| 13 | 12 | |
| 14 | 2 | |
| 15 | 8 | |
| 16 | 1 | |
| 17 | 1 | |
| 18 | 36 | |
| 19 | 1 | |
| 20 | 2 |
About Shaul K. Bar‐Lev
Shaul K. Bar‐Lev is a scholar working on Statistics and Probability, Mathematical Physics and Finance, having authored 92 papers that have together received 728 indexed citations. Recurring topics across this work include Statistical Distribution Estimation and Applications (39 papers), Bayesian Methods and Mixture Models (20 papers) and Statistical Methods and Bayesian Inference (17 papers). The work is most often cited by research in Statistics and Probability (351 citations), Management Information Systems (138 citations) and Statistics, Probability and Uncertainty (66 citations). Shaul K. Bar‐Lev has collaborated with scholars based in Israel, United States and Netherlands. Frequent co-authors include Peter Enis, David Perry, Ben Boukai, Wolfgang Stadje, Daoud Bshouty, Mahmut Parlar, Benjamin Reiser, F.A. van der Duyn Schouten, Gérard Letac and Idit Lavi. Their work appears in journals such as SHILAP Revista de lepidopterología, Journal of the American Statistical Association and European Journal of Operational Research.
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.