Thomas H. Savits
- Statistics and Probability top 0.2%
- Safety, Risk, Reliability and Quality top 0.2%
- Management Science and Operations Research top 0.5%
- Statistics, Probability and Uncertainty top 0.2%
- Software top 1%
- Co-authors
- Henry W. BlockWagner de Souza BorgesGregory M. ConstantineMoshe ShakedHarshinder SinghH. W. BlockNaftali A. LangbergWarley de Souza Borges
- Topics
- Statistical Distribution Estimation and Applications (47 papers)Reliability and Maintenance Optimization (26 papers)Probability and Risk Models (22 papers)
- Journals
- Operations ResearchThe Annals of StatisticsTransactions of the American Mathematical Society
- Partner nations
- United StatesIsraelBrazil
In The Last Decade
Thomas H. Savits
76 papers receiving 2.2k citations
Peers
Comparison fields: 5 of 98
- Statistics and Probability 1.5k
- Safety, Risk, Reliability and Quality 1.1k
- Management Science and Operations Research 663
- Statistics, Probability and Uncertainty 579
- Software 477
Countries citing papers authored by Thomas H. Savits
This map shows the geographic impact of Thomas H. Savits'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 Thomas H. Savits with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Thomas H. Savits more than expected).
Fields of papers citing papers by Thomas H. Savits
This network shows the impact of papers produced by Thomas H. Savits. 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 Thomas H. Savits. The network helps show where Thomas H. Savits may publish in the future.
Co-authorship network of co-authors of Thomas H. Savits
This figure shows the co-authorship network connecting the top 25 collaborators of Thomas H. Savits. A scholar is included among the top collaborators of Thomas H. Savits 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 Thomas H. Savits. Thomas H. Savits is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 5 | |
| 2 | 7 | |
| 3 | 1 | |
| 4 | 2 | |
| 5 | 11 | |
| 6 | 16 | |
| 7 | 19 | |
| 8 | 69 | |
| 9 | 43 | |
| 10 | 4 | |
| 11 | 17 | |
| 12 | 31 | |
| 13 | 12 | |
| 14 | 352 | |
| 15 | 65 | |
| 16 | 7 | |
| 17 | Multivariate Classes in Reliability Theory. | 1 |
| 18 | Multivariate IFRA Distributions. | 1 |
| 19 | 2 | |
| 20 | 11 |
About Thomas H. Savits
Thomas H. Savits is a scholar working on Statistics and Probability, Safety, Risk, Reliability and Quality and Software, having authored 80 papers that have together received 2.4k indexed citations. Recurring topics across this work include Statistical Distribution Estimation and Applications (47 papers), Reliability and Maintenance Optimization (26 papers) and Probability and Risk Models (22 papers). The work is most often cited by research in Statistics and Probability (1.5k citations), Software (477 citations) and Safety, Risk, Reliability and Quality (1.1k citations). Thomas H. Savits has collaborated with scholars based in United States, Israel and Brazil. Frequent co-authors include Henry W. Block, Wagner de Souza Borges, Gregory M. Constantine, Moshe Shaked, Harshinder Singh, H. W. Block, Naftali A. Langberg, Warley de Souza Borges, Yulin Li and William S. Griffith. Their work appears in journals such as Operations Research, The Annals of Statistics and Transactions of the American Mathematical Society.
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.