Robert L. Paige

56 total papers · 609 total citations
35 papers, 433 citations indexed

About

Robert L. Paige is a scholar working on Statistics and Probability, Artificial Intelligence and Computer Vision and Pattern Recognition. According to data from OpenAlex, Robert L. Paige has authored 35 papers receiving a total of 433 indexed citations (citations by other indexed papers that have themselves been cited), including 17 papers in Statistics and Probability, 10 papers in Artificial Intelligence and 5 papers in Computer Vision and Pattern Recognition. Recurrent topics in Robert L. Paige's work include Statistical Methods and Inference (14 papers), Statistical Methods and Bayesian Inference (8 papers) and Bayesian Methods and Mixture Models (6 papers). Robert L. Paige is often cited by papers focused on Statistical Methods and Inference (14 papers), Statistical Methods and Bayesian Inference (8 papers) and Bayesian Methods and Mixture Models (6 papers). Robert L. Paige collaborates with scholars based in United States, Germany and Taiwan. Robert L. Paige's co-authors include Chwan‐Li Shen, A. Alexandre Trindade, Mohamed Hagar, Feng Du, Jean‐Michel Brismée, Ke Xu, Ming-Chien Chyu, H. Mansouri, James G. Surles and F.H. Ruymgaart and has published in prestigious journals such as Journal of the American Statistical Association, Biometrika and Journal of Theoretical Biology.

In The Last Decade

Robert L. Paige

34 papers receiving 407 citations

Author Peers

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

Author Last Decade Papers Cites
Robert L. Paige 91 71 55 52 44 35 433
Laszlo Engelman 72 0.8× 18 0.3× 64 1.2× 103 2.0× 2 0.0× 9 464
E. J. Redfern 88 1.0× 23 0.3× 23 0.4× 22 0.4× 17 390
Te‐yuan Chyou 16 0.2× 20 0.3× 10 0.2× 37 0.7× 21 0.5× 29 390
M. Chavance 22 0.2× 8 0.1× 83 1.5× 8 0.2× 15 0.3× 36 467
Moritz Berger 11 0.1× 13 0.2× 66 1.2× 23 0.4× 15 0.3× 52 456
Hsuan‐Hung Lin 69 0.8× 25 0.4× 6 0.1× 12 0.2× 4 0.1× 31 400
John T. Kemper 47 0.5× 31 0.4× 8 0.1× 8 0.2× 20 0.5× 24 487
Takis Papaioannou 18 0.2× 17 0.2× 166 3.0× 30 0.6× 33 478
Ulrike Genschel 19 0.2× 8 0.1× 67 1.2× 14 0.3× 34 455
Changfu Xiao 25 0.3× 50 0.7× 14 0.3× 3 0.1× 22 0.5× 31 411

Countries citing papers authored by Robert L. Paige

Since Specialization
Citations

This map shows the geographic impact of Robert L. Paige'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 Robert L. Paige with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Robert L. Paige more than expected).

Fields of papers citing papers by Robert L. Paige

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Robert L. Paige. 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 Robert L. Paige. The network helps show where Robert L. Paige may publish in the future.

Co-authorship network of co-authors of Robert L. Paige

This figure shows the co-authorship network connecting the top 25 collaborators of Robert L. Paige. A scholar is included among the top collaborators of Robert L. Paige 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 Robert L. Paige. Robert L. Paige 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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