Tom D. Downs
Impact in
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- Probabilistic and Robust Engineering Design
- Statistics and Probability top 5%
- Fuzzy Systems and Optimization
Papers in
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- Risk and Safety Analysis 1
- Probabilistic and Robust Engineering Design 1
- Co-authors
- Robert C. Williamson (1 shared paper)Kwang W. Kim (1 shared paper)T. C. Hsü (1 shared paper)Martin M. Crane (1 shared paper)Lorraine M. Cherry (1 shared paper)William J. Wheeler (1 shared paper)Ralph F. Frankowski (3 shared papers)Christoph J. Senff (1 shared paper)
- Journals
- Human & Experimental Toxicology (2 papers)International Journal of Approximate Reasoning (1 paper)American Journal of Industrial Medicine (1 paper)Drug Metabolism Reviews (1 paper)Mutation Research/Genetic Toxicology (1 paper)
- Partner nations
- United StatesAustralia
In The Last Decade
Tom D. Downs
9 papers receiving 432 citations
Peers
Comparison fields: 5 of 101
- Statistics, Probability and Uncertainty 102
- Statistics and Probability 81
- Chemical Health and Safety 6
- Cancer Research 93
- Management Science and Operations Research 88
Countries citing papers authored by Tom D. Downs
This map shows the geographic impact of Tom D. Downs'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 Tom D. Downs with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Tom D. Downs more than expected).
Fields of papers citing papers by Tom D. Downs
This network shows the impact of papers produced by Tom D. Downs. 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 Tom D. Downs. The network helps show where Tom D. Downs may publish in the future.
Co-authors
The 18 scholars most cited alongside Tom D. Downs, 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 | 1990 | 273 | |
| 2 | 1986 | 68 | |
| 3 | 2004 | 57 | |
| 4 | 1987 | 52 | |
| 5 | 1982 | 16 | |
| 6 | 1968 | 7 | |
| 7 | A system linking occupation history questionnaire data and magnetic field monitoring data. | 1998 | 2 |
| 8 | 1998 | 2 | |
| 9 | 1998 | 1 |
About Tom D. Downs
Tom D. Downs is a scholar working on Statistics, Probability and Uncertainty, Organic Chemistry, Radiological and Ultrasound Technology, Health, Toxicology and Mutagenesis and Oncology, having authored 9 papers that have together received 478 indexed citations. Recurring topics across this work include Numerical Methods and Algorithms (1 paper), Risk and Safety Analysis (1 paper), Tropical and Extratropical Cyclones Research (1 paper), Fuzzy Systems and Optimization (1 paper), Microtubule and mitosis dynamics (1 paper), Radiation Dose and Imaging (1 paper), Probabilistic and Robust Engineering Design (1 paper) and Speech Recognition and Synthesis (1 paper). The work is most often cited by research in Statistics, Probability and Uncertainty (102 citations), Statistics and Probability (81 citations), Chemical Health and Safety (6 citations), Cancer Research (93 citations) and Management Science and Operations Research (88 citations). Tom D. Downs has collaborated with scholars based in United States and Australia. Frequent co-authors include Robert C. Williamson, Kwang W. Kim, T. C. Hsü, Martin M. Crane, Lorraine M. Cherry, William J. Wheeler, Ralph F. Frankowski, Christoph J. Senff, R. W. Talbot and Allen B. White. Their work appears in journals such as Human & Experimental Toxicology, International Journal of Approximate Reasoning, American Journal of Industrial Medicine, Drug Metabolism Reviews and Mutation Research/Genetic Toxicology.
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.