Brian T. Downs
Impact in
- Ecological Modeling top 5%
- Species Distribution and Climate Change
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- Ecology and Vegetation Dynamics Studies
Papers in
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- Forecasting Techniques and Applications 1
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- Advanced Statistical Process Monitoring 2
- Co-authors
- Jeffrey D. Camm (3 shared papers)Robert L. Pressey (1 shared paper)Blair Csuti (1 shared paper)Stephen Polasky (1 shared paper)Kevin Sahr (1 shared paper)Melanie Kershaw (1 shared paper)A. Ross Kiester (1 shared paper)Richard Hamilton (1 shared paper)
- Journals
- Management Science (1 paper)Naval Research Logistics (NRL) (1 paper)Journal of Quality Technology (1 paper)Biological Conservation (1 paper)INFORMS Journal on Applied Analytics (1 paper)
- Partner nations
- United StatesUnited KingdomAustralia
In The Last Decade
Brian T. Downs
6 papers receiving 425 citations
Peers
Comparison fields: 5 of 71
- Ecological Modeling 118
- Nature and Landscape Conservation 217
- Global and Planetary Change 152
- Management Information Systems 56
- Ecology 139
Countries citing papers authored by Brian T. Downs
This map shows the geographic impact of Brian T. 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 Brian T. Downs with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Brian T. Downs more than expected).
Fields of papers citing papers by Brian T. Downs
This network shows the impact of papers produced by Brian T. 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 Brian T. Downs. The network helps show where Brian T. Downs may publish in the future.
Co-authors
The 11 scholars most cited alongside Brian T. 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 | 1997 | 358 | |
| 2 | 2001 | 47 | |
| 3 | 1996 | 42 | |
| 4 | 2006 | 14 | |
| 5 | 1998 | 4 | |
| 6 | 1999 | 4 | |
| 7 | A Mathematical Programming Method for Generating Alternative Managerial Performance Goals After Data Envelopment Analysis | 1993 | 2 |
| 8 | A robust dual-based solution algorithm for the maximal covering problem | 1992 | 0 |
About Brian T. Downs
Brian T. Downs is a scholar working on Management Science and Operations Research, Statistics, Probability and Uncertainty, Industrial and Manufacturing Engineering, Nature and Landscape Conservation and Strategy and Management, having authored 8 papers that have together received 471 indexed citations. Recurring topics across this work include Advanced Statistical Process Monitoring (2 papers), Vehicle Routing Optimization Methods (1 paper), Optimization and Packing Problems (1 paper), Reliability and Maintenance Optimization (1 paper), Advanced Queuing Theory Analysis (1 paper), Species Distribution and Climate Change (1 paper), Monetary Policy and Economic Impact (1 paper) and Forecasting Techniques and Applications (1 paper). The work is most often cited by research in Ecological Modeling (118 citations), Nature and Landscape Conservation (217 citations), Global and Planetary Change (152 citations), Management Information Systems (56 citations) and Ecology (139 citations). Brian T. Downs has collaborated with scholars based in United States, United Kingdom and Australia. Frequent co-authors include Jeffrey D. Camm, Robert L. Pressey, Blair Csuti, Stephen Polasky, Kevin Sahr, Melanie Kershaw, A. Ross Kiester, Richard Hamilton, Richard Metters and John H. Semple. Their work appears in journals such as Management Science, Naval Research Logistics (NRL), Journal of Quality Technology, Biological Conservation and INFORMS Journal on Applied Analytics.
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.