R. A. Bailey

154 papers receiving 2.5k citations

Peers

R. A. Bailey
Comparison fields: 5 of 174
  • Discrete Mathematics and Combinatorics 343
  • Management Science and Operations Research 953
  • Statistics and Probability 445
  • Computational Theory and Mathematics 753
  • Geometry and Topology 190
Replace Colin L. Mallows with:
Colin L. Mallows United States
Walter T. Fédérer United States
Michael D. Perlman United States
Götz Trenkler Germany
James R. Schott United States
Y. L. Tong United States
J. A. John United Kingdom
Alan Tucker United States
S. Kocherlakota Canada
Mathias Drton United States
R. A. Bailey relative to Colin L. Mallows United States Colin L. Mallows's profile →
Citations per field
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Colin L. Mallows · 1×
Citations per year

Countries citing papers authored by R. A. Bailey

Since Specialization
Citations

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

Fields of papers citing papers by R. A. Bailey

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside R. A. Bailey, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with R. A. Bailey Line = papers co-authored together R. A. Bailey links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 158 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2008192
2 1997182
3 2011157
4 1997100
5 199387
6 201482
7 198475
8 198173
9 200861
10 200459
11 198354
12 197750
13 201147
14 199146
15 199646
16 200545
17 199145
18 200644
19 200440
20 198235

About R. A. Bailey

R. A. Bailey is a scholar working on Management Science and Operations Research, Electrical and Electronic Engineering, Computational Theory and Mathematics, Artificial Intelligence and Discrete Mathematics and Combinatorics, having authored 158 papers that have together received 2.7k indexed citations. Recurring topics across this work include Optimal Experimental Design Methods (70 papers), graph theory and CDMA systems (67 papers), Coding theory and cryptography (23 papers), Statistical Methods in Clinical Trials (18 papers), Finite Group Theory Research (17 papers), Advanced Multi-Objective Optimization Algorithms (12 papers), Graph Labeling and Dimension Problems (9 papers) and DNA and Biological Computing (7 papers). The work is most often cited by research in Discrete Mathematics and Combinatorics (343 citations), Management Science and Operations Research (953 citations), Statistics and Probability (445 citations), Computational Theory and Mathematics (753 citations) and Geometry and Topology (190 citations). R. A. Bailey has collaborated with scholars based in United Kingdom, United States and Australia. Frequent co-authors include Peter J‎. Cameron, H. D. Patterson, Terence P. Speed, Chris Brien, Jean‐Marc Azäis, Julia Reiss, Guy Woodward, Hervé Monod, M. F. Franklin and Karen Meagher. Their work appears in journals such as Biometrika, Discrete Mathematics, Journal of Statistical Planning and Inference, Journal of the Royal Statistical Society Series B (Statistical Methodology) and Designs Codes and Cryptography.

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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