Moshe Shaked
- Statistics and Probability top 0.02%
- Management Science and Operations Research top 0.05%
- Statistics, Probability and Uncertainty top 0.05%
- Safety, Risk, Reliability and Quality top 0.1%
- Finance top 0.5%
- Co-authors
- J. George ShanthikumarHarry JoeThomas H. SavitsMarco ScarsiniBaha-Eldin KhalediHenry W. BlockJorge NavarroFranco Pellerey
- Topics
- Statistical Distribution Estimation and Applications (123 papers)Probability and Risk Models (72 papers)Reliability and Maintenance Optimization (57 papers)
- Cited by
- Statistics and ProbabilityStatistics, Probability and UncertaintyManagement Science and Operations Research
- Partner nations
- United StatesItalySpain
In The Last Decade
Moshe Shaked
167 papers receiving 7.1k citations
Hit Papers
Peers
Comparison fields: 5 of 133
- Statistics and Probability 4.5k
- Management Science and Operations Research 3.0k
- Statistics, Probability and Uncertainty 1.9k
- Safety, Risk, Reliability and Quality 1.6k
- Finance 1.3k
Countries citing papers authored by Moshe Shaked
This map shows the geographic impact of Moshe Shaked'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 Moshe Shaked with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Moshe Shaked more than expected).
Fields of papers citing papers by Moshe Shaked
This network shows the impact of papers produced by Moshe Shaked. 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 Moshe Shaked. The network helps show where Moshe Shaked may publish in the future.
Co-authorship network of co-authors of Moshe Shaked
This figure shows the co-authorship network connecting the top 25 collaborators of Moshe Shaked. A scholar is included among the top collaborators of Moshe Shaked 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 Moshe Shaked. Moshe Shaked is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | Some Notions of Multivariate Positive Dependence | 2 |
| 2 | 10 | |
| 3 | 17 | |
| 4 | 64 | |
| 5 | 10 | |
| 6 | 32 | |
| 7 | The Newsvendor Game Has a Nonempty Core | 3 |
| 8 | 67 | |
| 9 | 29 | |
| 10 | 12 | |
| 11 | 20 | |
| 12 | 1 | |
| 13 | 4 | |
| 14 | 33 | |
| 15 | Multivariate new better than used distributions: a survey | 6 |
| 16 | 10 | |
| 17 | 45 | |
| 18 | 7 | |
| 19 | 8 | |
| 20 | 6 |
About Moshe Shaked
Moshe Shaked is a scholar working on Statistics and Probability, Statistics, Probability and Uncertainty and Safety, Risk, Reliability and Quality, having authored 170 papers that have together received 7.5k indexed citations. Recurring topics across this work include Statistical Distribution Estimation and Applications (123 papers), Probability and Risk Models (72 papers) and Reliability and Maintenance Optimization (57 papers). The work is most often cited by research in Statistics and Probability (4.5k citations), Statistics, Probability and Uncertainty (1.9k citations) and Management Science and Operations Research (3.0k citations). Moshe Shaked has collaborated with scholars based in United States, Italy and Spain. Frequent co-authors include J. George Shanthikumar, Harry Joe, Thomas H. Savits, Marco Scarsini, Baha-Eldin Khaledi, Henry W. Block, Jorge Navarro, Franco Pellerey, Asok K. Nanda and Albert W. Marshall. Their work appears in journals such as Journal of the American Statistical Association, Technometrics and Management Science.
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.