Daniel G. Brooks
Impact in
- Statistics and Probability top 5%
- Advanced Statistical Methods and Models
- Statistical Methods and Bayesian Inference
- Ecological Modeling top 10%
- Species Distribution and Climate Change
Papers in
-
- Risk and Safety Analysis 3
-
- Advanced Optimization Algorithms Research 2
- Co-authors
- Yoshitaka SakamotoG. KitagawaMakio IshiguroWilliam A. VerdiniRobert L. WinklerRichard L. BranhamSteven S. CarrollCraig W. Kirkwood
- Journals
- Technometrics (5 papers)The American Statistician (2 papers)Regional Science and Urban Economics (1 paper)Journal of the Operational Research Society (1 paper)Risk Analysis (1 paper)
- Partner nations
- United StatesUnited Kingdom
In The Last Decade
Daniel G. Brooks
16 papers receiving 715 citations
Hit Papers
Peers
Comparison fields: 5 of 166
- Statistics and Probability 84
- Ecological Modeling 35
- Nature and Landscape Conservation 86
- Ecology 136
- Management Science and Operations Research 59
Countries citing papers authored by Daniel G. Brooks
This map shows the geographic impact of Daniel G. Brooks'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 Daniel G. Brooks with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Daniel G. Brooks more than expected).
Fields of papers citing papers by Daniel G. Brooks
This network shows the impact of papers produced by Daniel G. Brooks. 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 Daniel G. Brooks. The network helps show where Daniel G. Brooks may publish in the future.
Co-authorship network
The 16 scholars most cited alongside Daniel G. Brooks, 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 | 2009 | 0 | |
| 2 | 2009 | 3 | |
| 3 | 2004 | 11 | |
| 4 | Prioritization methodology using hazard analysis results at Los Alamos National Laboratory | 1995 | 1 |
| 5 | 1992 | 22 | |
| 6 | 1992 | 6 | |
| 7 | 1990 | 4 | |
| 8 | 1990 | 4 | |
| 9 | 1989 | 2 | |
| 10 | Akaike Information Criterion Statistics Hit paper breakdown → | 1989 | 587 |
| 11 | 1989 | 17 | |
| 12 | 1988 | 6 | |
| 13 | 1988 | 23 | |
| 14 | 1988 | 37 | |
| 15 | 1988 | 14 | |
| 16 | 1983 | 5 | |
| 17 | 1980 | 24 |
About Daniel G. Brooks
Daniel G. Brooks is a scholar working on Statistics, Probability and Uncertainty, Numerical Analysis, Management Science and Operations Research, Finance and Radiological and Ultrasound Technology, having authored 17 papers that have together received 766 indexed citations. Recurring topics across this work include Risk and Safety Analysis (3 papers), Multi-Criteria Decision Making (2 papers), Advanced Optimization Algorithms Research (2 papers), Complex Systems and Decision Making (1 paper), Bayesian Methods and Mixture Models (1 paper), Nuclear and radioactivity studies (1 paper), Advanced Multi-Objective Optimization Algorithms (1 paper) and Software Engineering Research (1 paper). The work is most often cited by research in Statistics and Probability (84 citations), Ecological Modeling (35 citations), Nature and Landscape Conservation (86 citations), Ecology (136 citations) and Management Science and Operations Research (59 citations). Daniel G. Brooks has collaborated with scholars based in United States and United Kingdom. Frequent co-authors include Yoshitaka Sakamoto, G. Kitagawa, Makio Ishiguro, William A. Verdini, Robert L. Winkler, Richard L. Branham, Steven S. Carroll, Craig W. Kirkwood, Timothy J. O’Leary and Joseph E. Parrillo. Their work appears in journals such as Technometrics, The American Statistician, Regional Science and Urban Economics, Journal of the Operational Research Society and Risk Analysis.
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.