Bruce E. Trumbo
Impact in
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- Data Visualization and Analytics
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- Metal complexes synthesis and properties
Papers in
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- Statistics Education and Methodologies 5
- Markov Chains and Monte Carlo Methods 3
- Probability and Statistical Research 3
- Statistical Methods and Bayesian Inference 1
- Co-authors
- David Freifelder (1 shared paper)Joan E. Sieber (2 shared papers)Edward E. Gbur (1 shared paper)Paul F. Velleman (1 shared paper)
- Journals
- The American Statistician (3 papers)Biopolymers (1 paper)Journal of the American Statistical Association (1 paper)Science and Engineering Ethics (1 paper)Journal of Statistics Education (2 papers)
- Partner nations
- United States
In The Last Decade
Bruce E. Trumbo
16 papers receiving 328 citations
Peers
Comparison fields: 5 of 91
- Computer Vision and Pattern Recognition 83
- Oncology 56
- Radiology, Nuclear Medicine and Imaging 42
- Statistics and Probability 22
- Statistics, Probability and Uncertainty 14
Countries citing papers authored by Bruce E. Trumbo
This map shows the geographic impact of Bruce E. Trumbo'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 E. Trumbo with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Bruce E. Trumbo more than expected).
Fields of papers citing papers by Bruce E. Trumbo
This network shows the impact of papers produced by Bruce E. Trumbo. 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 E. Trumbo. The network helps show where Bruce E. Trumbo may publish in the future.
Co-authors
The 4 scholars most cited alongside Bruce E. Trumbo, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 1969 | 154 | |
| 2 | 1981 | 103 | |
| 3 | 1977 | 30 | |
| 4 | 1995 | 20 | |
| 5 | 2010 | 18 | |
| 6 | 1995 | 12 | |
| 7 | 2010 | 10 | |
| 8 | 2010 | 4 | |
| 9 | 1991 | 3 | |
| 10 | Learning Statistics with Real Data | 2001 | 3 |
| 11 | 1994 | 2 | |
| 12 | 2010 | 1 | |
| 13 | 2010 | 1 | |
| 14 | 2010 | 1 | |
| 15 | 2010 | 1 | |
| 16 | A Review of Methods for Point and Interval Estimation of Population Size in Capture-Recapture Studies | 2014 | 1 |
| 17 | 1994 | 0 | |
| 18 | 2010 | 0 |
About Bruce E. Trumbo
Bruce E. Trumbo is a scholar working on Statistics and Probability, History and Philosophy of Science, Management Science and Operations Research, Numerical Analysis and Statistics, Probability and Uncertainty, having authored 18 papers that have together received 364 indexed citations. Recurring topics across this work include Statistics Education and Methodologies (5 papers), Markov Chains and Monte Carlo Methods (3 papers), Probability and Statistical Research (3 papers), Simulation Techniques and Applications (2 papers), scientometrics and bibliometrics research (1 paper), Statistical Methods and Bayesian Inference (1 paper), Data Visualization and Analytics (1 paper) and Research Data Management Practices (1 paper). The work is most often cited by research in Computer Vision and Pattern Recognition (83 citations), Oncology (56 citations), Radiology, Nuclear Medicine and Imaging (42 citations), Statistics and Probability (22 citations) and Statistics, Probability and Uncertainty (14 citations). Bruce E. Trumbo has collaborated with scholars based in United States. Frequent co-authors include David Freifelder, Joan E. Sieber, Edward E. Gbur and Paul F. Velleman. Their work appears in journals such as The American Statistician, Biopolymers, Journal of the American Statistical Association, Science and Engineering Ethics and Journal of Statistics Education.
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.