Forrest R. Miller

About

Forrest R. Miller is a scholar working on Statistics and Probability, Artificial Intelligence and Management Science and Operations Research. According to data from OpenAlex, Forrest R. Miller has authored 16 papers receiving a total of 183 indexed citations (citations by other indexed papers that have themselves been cited), including 6 papers in Statistics and Probability, 3 papers in Artificial Intelligence and 3 papers in Management Science and Operations Research. Recurrent topics in Forrest R. Miller’s work include Statistical Methods and Bayesian Inference (6 papers), Advanced Statistical Methods and Models (4 papers) and Statistical Methods and Inference (3 papers). Forrest R. Miller is often cited by papers focused on Statistical Methods and Bayesian Inference (6 papers), Advanced Statistical Methods and Models (4 papers) and Statistical Methods and Inference (3 papers). Forrest R. Miller collaborates with scholars based in United States. Forrest R. Miller's co-authors include Rui Chen, Arka Majumdar, Kenneth E. Goodson, Abhi Saxena, Sarah Geiger, Zhuoran Fang, Khushboo Kumari, Christopher J. Perez, Jiajiu Zheng and W. D. Curtis and has published in prestigious journals such as Nature Communications, Journal of the American Statistical Association and Optics Letters.

In The Last Decade

Co-authorship network of co-authors of Forrest R. Miller i

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Fields of papers citing papers by Forrest R. Miller

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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.

Countries citing papers authored by Forrest R. Miller

Since Specialization

Citations

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).

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.

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