Forrest R. Miller
- Electrical and Electronic Engineering
- Materials Chemistry
- Global and Planetary Change
- Artificial Intelligence
- Atmospheric Science
- Co-authors
- W. D. CurtisArka MajumdarRui ChenKenneth E. GoodsonJiajiu ZhengAbhi SaxenaZhuoran FangSarah Geiger
- Topics
- Statistical Methods and Bayesian Inference (6 papers)Advanced Statistical Methods and Models (4 papers)Statistical Methods and Inference (3 papers)
- Partner nations
- United StatesUnited Kingdom
In The Last Decade
Forrest R. Miller
19 papers receiving 244 citations
Peers
Comparison fields: 5 of 66
- Electrical and Electronic Engineering 84
- Materials Chemistry 52
- Global and Planetary Change 51
- Artificial Intelligence 50
- Atmospheric Science 44
Countries citing papers authored by Forrest R. Miller
This map shows the geographic impact of Forrest R. Miller'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 Forrest R. Miller with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Forrest R. Miller more than expected).
Fields of papers citing papers by Forrest R. Miller
This network shows the impact of papers produced by Forrest R. Miller. 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 Forrest R. Miller. The network helps show where Forrest R. Miller may publish in the future.
Co-authorship network of co-authors of Forrest R. Miller
This figure shows the co-authorship network connecting the top 25 collaborators of Forrest R. Miller. A scholar is included among the top collaborators of Forrest R. Miller 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 Forrest R. Miller. Forrest R. Miller 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 | 84 | |
| 4 | Oceanographic and meteorological observations for project Little Window: March 1970 | 0 |
| 5 | 5 | |
| 6 | 5 | |
| 7 | 7 | |
| 8 | 1 | |
| 9 | 7 | |
| 10 | 3 | |
| 11 | 10 | |
| 12 | Summary of the 1996 U.S. north and south Pacific albacore troll fisheries | 6 |
| 13 | 2 | |
| 14 | 8 | |
| 15 | The El Nino of 1972-1973 in the Eastern Tropical Pacific Ocean | 6 |
| 16 | The surface climate of 1963 and 1964 | 2 |
| 17 | 23 | |
| 18 | 11 | |
| 19 | 42 | |
| 20 | 7 |
About Forrest R. Miller
Forrest R. Miller is a scholar working on Statistics and Probability, Oceanography and Management Science and Operations Research, having authored 21 papers that have together received 287 indexed citations. Recurring topics across this work include Statistical Methods and Bayesian Inference (6 papers), Advanced Statistical Methods and Models (4 papers) and Statistical Methods and Inference (3 papers). The work is most often cited by research in Statistics and Probability (30 citations), Algebra and Number Theory (14 citations) and Atmospheric Science (44 citations). Forrest R. Miller has collaborated with scholars based in United States and United Kingdom. Frequent co-authors include W. D. Curtis, Arka Majumdar, Rui Chen, Kenneth E. Goodson, Jiajiu Zheng, Abhi Saxena, Zhuoran Fang, Sarah Geiger, Christopher J. Perez and Khushboo Kumari. Their work appears in journals such as Nature Communications, Journal of the American Statistical Association and Optics Letters.
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.