Forrest R. Miller

38 total papers · 495 total citations
21 papers, 282 citations indexed

About

Forrest R. Miller is a scholar working on Statistics and Probability, Oceanography and Artificial Intelligence. According to data from OpenAlex, Forrest R. Miller has authored 21 papers receiving a total of 282 indexed citations (citations by other indexed papers that have themselves been cited), including 6 papers in Statistics and Probability, 3 papers in Oceanography and 3 papers in Artificial Intelligence. 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 and United Kingdom. Forrest R. Miller's co-authors include W. D. Curtis, Arka Majumdar, Rui Chen, Khushboo Kumari, Sarah Geiger, Abhi Saxena, Zhuoran Fang, Christopher J. Perez, Kenneth E. Goodson and Jiajiu Zheng and has published in prestigious journals such as Nature Communications, Journal of the American Statistical Association and Optics Letters.

In The Last Decade

Forrest R. Miller

19 papers receiving 241 citations

Author Peers

Peers are selected by citation overlap in the author's most active subfields. citations · hero ref

Author Last Decade Papers Cites
Forrest R. Miller 81 50 50 48 43 21 282
Bernd Baumann 75 0.9× 15 0.3× 51 1.0× 8 0.2× 40 0.9× 33 283
G. Lauro 34 0.4× 66 1.3× 59 1.2× 12 0.3× 17 0.4× 23 309
Franca Hoffmann 20 0.2× 24 0.5× 12 0.2× 51 1.1× 19 0.4× 17 243
Sanjar M. Abrarov 79 1.0× 66 1.3× 52 1.0× 5 0.1× 82 1.9× 35 306
A. Gordillo-Guerrero 15 0.2× 52 1.0× 59 1.2× 8 0.2× 51 1.2× 18 253
Reinhold Fürth 26 0.3× 14 0.3× 6 0.1× 13 0.3× 13 0.3× 21 251
Zheng Ma 15 0.2× 46 0.9× 4 0.1× 62 1.3× 7 0.2× 14 207
Terry Haut 28 0.3× 47 0.9× 6 0.1× 9 0.2× 17 0.4× 24 227
Daniel McNulty 116 1.4× 8 0.2× 15 0.3× 86 1.8× 37 0.9× 19 239
Tobias Grafke 3 0.0× 14 0.3× 45 0.9× 15 0.3× 45 1.0× 23 237

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).

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.

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

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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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