R. Reeves

619 total citations
12 papers, 376 citations indexed

About

R. Reeves is a scholar working on Statistics and Probability, Artificial Intelligence and Economics and Econometrics. According to data from OpenAlex, R. Reeves has authored 12 papers receiving a total of 376 indexed citations (citations by other indexed papers that have themselves been cited), including 6 papers in Statistics and Probability, 5 papers in Artificial Intelligence and 4 papers in Economics and Econometrics. Recurrent topics in R. Reeves's work include Statistical Methods and Bayesian Inference (4 papers), Bayesian Methods and Mixture Models (3 papers) and Advanced Data Compression Techniques (3 papers). R. Reeves is often cited by papers focused on Statistical Methods and Bayesian Inference (4 papers), Bayesian Methods and Mixture Models (3 papers) and Advanced Data Compression Techniques (3 papers). R. Reeves collaborates with scholars based in Australia, Canada and United Kingdom. R. Reeves's co-authors include A. N. Pettitt, Kasper K. Berthelsen, Jesper Möller, Nial Friel, Ernst C. Wit, D. M. Titterington, Clare A. McGrory, Kurt Kubik, Steen Magnussen and Kerrie Mengersen and has published in prestigious journals such as SHILAP Revista de lepidopterología, Biometrika and Journal of the Royal Statistical Society Series B (Statistical Methodology).

In The Last Decade

R. Reeves

12 papers receiving 364 citations

Peers

R. Reeves
Comparison fields: 5 of 78
  • Artificial Intelligence 198
  • Statistics and Probability 195
  • Environmental Engineering 58
  • Economics and Econometrics 47
  • Mathematical Physics 36
Replace Hajo Holzmann with:
Hajo Holzmann Germany
Luca Pratelli Italy
Wei‐Liem Loh Singapore
Kasper K. Berthelsen Denmark
Matthew A. Nunes United Kingdom
Christopher C. Heyde Australia
Hirokazu Yanagihara Japan
Sucharita Ghosh Switzerland
Stephen G. Walker United Kingdom
Fred W. Huffer United States
Hajo Holzmann Germany View profile →
Citations per field, relative to R. Reeves
R. Reeves · 1×
Citations per year, relative to R. Reeves
R. Reeves · 1×

Countries citing papers authored by R. Reeves

Since Specialization
Citations

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

Fields of papers citing papers by R. Reeves

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by R. Reeves. 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 R. Reeves. The network helps show where R. Reeves may publish in the future.

Co-authorship network of co-authors of R. Reeves

This figure shows the co-authorship network connecting the top 25 collaborators of R. Reeves. A scholar is included among the top collaborators of R. Reeves 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 R. Reeves. R. Reeves is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

12 of 12 papers shown
# Work Indexed citations
1 13
2 38
3 9
4 4
5 29
6 6
7 207
8 37
9 22
10 1
11
Benefits of hybrid DCT domain image matching
7
12 3

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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