Bruce W. Schmeiser
- Statistics and Probability top 0.2%
- Management Science and Operations Research top 0.5%
- Statistics, Probability and Uncertainty top 0.2%
- Artificial Intelligence top 2%
- Management Information Systems top 2%
- Co-authors
- John S. RambergWheyming Tina SongMarc S. MeketonHuifen ChenMing‐Hui ChenVoratas KachitvichyanukulStuart Jay DeutschRaghu Pasupathy
- Topics
- Simulation Techniques and Applications (43 papers)Statistical Methods and Inference (27 papers)Statistical Methods and Bayesian Inference (18 papers)
- Cited by
- Statistics and ProbabilityStatistics, Probability and UncertaintyManagement Science and Operations Research
- Partner nations
- United StatesTaiwanFrance
In The Last Decade
Bruce W. Schmeiser
114 papers receiving 2.5k citations
Peers
Comparison fields: 5 of 122
- Statistics and Probability 1.2k
- Management Science and Operations Research 1.1k
- Statistics, Probability and Uncertainty 697
- Artificial Intelligence 535
- Management Information Systems 324
Countries citing papers authored by Bruce W. Schmeiser
This map shows the geographic impact of Bruce W. Schmeiser'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 Bruce W. Schmeiser with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Bruce W. Schmeiser more than expected).
Fields of papers citing papers by Bruce W. Schmeiser
This network shows the impact of papers produced by Bruce W. Schmeiser. 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 Bruce W. Schmeiser. The network helps show where Bruce W. Schmeiser may publish in the future.
Co-authorship network of co-authors of Bruce W. Schmeiser
This figure shows the co-authorship network connecting the top 25 collaborators of Bruce W. Schmeiser. A scholar is included among the top collaborators of Bruce W. Schmeiser 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 Bruce W. Schmeiser. Bruce W. Schmeiser is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 2 | |
| 2 | 4 | |
| 3 | 9 | |
| 4 | 13 | |
| 5 | 1 | |
| 6 | 1 | |
| 7 | 10 | |
| 8 | 1 | |
| 9 | 6 | |
| 10 | 5 | |
| 11 | 90 | |
| 12 | 5 | |
| 13 | 51 | |
| 14 | 6 | |
| 15 | 7 | |
| 16 | 176 | |
| 17 | 6 | |
| 18 | 7 | |
| 19 | 6 | |
| 20 | 1 |
About Bruce W. Schmeiser
Bruce W. Schmeiser is a scholar working on Statistics and Probability, Management Science and Operations Research and Statistics, Probability and Uncertainty, having authored 117 papers that have together received 2.7k indexed citations. Recurring topics across this work include Simulation Techniques and Applications (43 papers), Statistical Methods and Inference (27 papers) and Statistical Methods and Bayesian Inference (18 papers). The work is most often cited by research in Statistics and Probability (1.2k citations), Statistics, Probability and Uncertainty (697 citations) and Management Science and Operations Research (1.1k citations). Bruce W. Schmeiser has collaborated with scholars based in United States, Taiwan and France. Frequent co-authors include John S. Ramberg, Wheyming Tina Song, Marc S. Meketon, Huifen Chen, Ming‐Hui Chen, Voratas Kachitvichyanukul, Stuart Jay Deutsch, Raghu Pasupathy, Ram Lal and Lawrence M. Leemis. Their work appears in journals such as Journal of the American Statistical Association, Management Science 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.