Ted H. Szatrowski
- Statistics and Probability top 2%
- Pulmonary and Respiratory Medicine
- Artificial Intelligence
- Oncology
- Management Science and Operations Research top 10%
- Co-authors
- Donald B. RubinHenry BraunJ. J. MillerMichael LangeDonald ArmstrongBarbara WeiserNira HerrmannCarol Singer
- Topics
- Statistical Methods and Bayesian Inference (8 papers)Advanced Statistical Methods and Models (8 papers)Bayesian Methods and Mixture Models (6 papers)
- Cited by
- Statistics and ProbabilityManagement Science and Operations ResearchComputational Mathematics
- Partner nations
- United StatesNetherlandsGermany
In The Last Decade
Ted H. Szatrowski
23 papers receiving 325 citations
Peers
Comparison fields: 5 of 83
- Statistics and Probability 186
- Pulmonary and Respiratory Medicine 82
- Artificial Intelligence 60
- Oncology 59
- Management Science and Operations Research 50
Countries citing papers authored by Ted H. Szatrowski
This map shows the geographic impact of Ted H. Szatrowski'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 Ted H. Szatrowski with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Ted H. Szatrowski more than expected).
Fields of papers citing papers by Ted H. Szatrowski
This network shows the impact of papers produced by Ted H. Szatrowski. 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 Ted H. Szatrowski. The network helps show where Ted H. Szatrowski may publish in the future.
Co-authorship network of co-authors of Ted H. Szatrowski
This figure shows the co-authorship network connecting the top 25 collaborators of Ted H. Szatrowski. A scholar is included among the top collaborators of Ted H. Szatrowski 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 Ted H. Szatrowski. Ted H. Szatrowski 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 | 82 | |
| 3 | 4 | |
| 4 | 7 | |
| 5 | 6 | |
| 6 | 2 | |
| 7 | 10 | |
| 8 | 1 | |
| 9 | 14 | |
| 10 | 5 | |
| 11 | 4 | |
| 12 | 33 | |
| 13 | 1 | |
| 14 | 1 | |
| 15 | 60 | |
| 16 | 2 | |
| 17 | 23 | |
| 18 | 64 | |
| 19 | 19 | |
| 20 | 13 |
About Ted H. Szatrowski
Ted H. Szatrowski is a scholar working on Statistics and Probability, Statistics, Probability and Uncertainty and Management Science and Operations Research, having authored 27 papers that have together received 392 indexed citations. Recurring topics across this work include Statistical Methods and Bayesian Inference (8 papers), Advanced Statistical Methods and Models (8 papers) and Bayesian Methods and Mixture Models (6 papers). The work is most often cited by research in Statistics and Probability (186 citations), Management Science and Operations Research (50 citations) and Computational Mathematics (2 citations). Ted H. Szatrowski has collaborated with scholars based in United States, Netherlands and Germany. Frequent co-authors include Donald B. Rubin, Henry Braun, J. J. Miller, Michael Lange, Donald Armstrong, Barbara Weiser, Nira Herrmann, Carol Singer, Nancy Ν. Huang and Daniel V. Schidlow. Their work appears in journals such as Annals of Internal Medicine, The American Journal of Medicine and Biometrika.
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.