Martin Schatzoff
- Statistics and Probability top 1%
- Statistics, Probability and Uncertainty top 2%
- Management Science and Operations Research top 10%
- Artificial Intelligence
- Analytical Chemistry top 10%
- Co-authors
- A. P. DempsterNanny WermuthLeona ZachariasRichard J. WurtmanBarry H. MargolinP. D. WelchPhilip Heidelberger
- Topics
- Advanced Statistical Methods and Models (6 papers)Advanced Statistical Process Monitoring (5 papers)Optimal Experimental Design Methods (5 papers)
- Cited by
- Statistics and ProbabilityStatistics, Probability and UncertaintyManagement Science and Operations Research
- Partner nations
- United StatesBrazil
In The Last Decade
Martin Schatzoff
23 papers receiving 556 citations
Peers
Comparison fields: 5 of 122
- Statistics and Probability 347
- Statistics, Probability and Uncertainty 132
- Management Science and Operations Research 81
- Artificial Intelligence 77
- Analytical Chemistry 60
Countries citing papers authored by Martin Schatzoff
This map shows the geographic impact of Martin Schatzoff'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 Martin Schatzoff with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Martin Schatzoff more than expected).
Fields of papers citing papers by Martin Schatzoff
This network shows the impact of papers produced by Martin Schatzoff. 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 Martin Schatzoff. The network helps show where Martin Schatzoff may publish in the future.
Co-authorship network of co-authors of Martin Schatzoff
This figure shows the co-authorship network connecting the top 25 collaborators of Martin Schatzoff. A scholar is included among the top collaborators of Martin Schatzoff 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 Martin Schatzoff. Martin Schatzoff 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 | 5 | |
| 3 | 221 | |
| 4 | 30 | |
| 5 | 2 | |
| 6 | 11 | |
| 7 | 2 | |
| 8 | 3 | |
| 9 | 30 | |
| 10 | 1 | |
| 11 | 5 | |
| 12 | 60 | |
| 13 | 24 | |
| 14 | 1 | |
| 15 | 45 | |
| 16 | 64 | |
| 17 | 6 | |
| 18 | 48 | |
| 19 | 2 | |
| 20 | 1 |
About Martin Schatzoff
Martin Schatzoff is a scholar working on Statistics and Probability, Management Science and Operations Research and Statistics, Probability and Uncertainty, having authored 24 papers that have together received 669 indexed citations. Recurring topics across this work include Advanced Statistical Methods and Models (6 papers), Advanced Statistical Process Monitoring (5 papers) and Optimal Experimental Design Methods (5 papers). The work is most often cited by research in Statistics and Probability (347 citations), Statistics, Probability and Uncertainty (132 citations) and Management Science and Operations Research (81 citations). Martin Schatzoff has collaborated with scholars based in United States and Brazil. Frequent co-authors include A. P. Dempster, Nanny Wermuth, Leona Zacharias, Richard J. Wurtman, Barry H. Margolin, P. D. Welch and Philip Heidelberger. Their work appears in journals such as Journal of the American Statistical Association, Technometrics and Communications of the ACM.
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.