Donald R. Barr

84 total papers · 863 total citations
38 papers, 554 citations indexed

About

Donald R. Barr is a scholar working on Statistics and Probability, Aerospace Engineering and Control and Systems Engineering. According to data from OpenAlex, Donald R. Barr has authored 38 papers receiving a total of 554 indexed citations (citations by other indexed papers that have themselves been cited), including 15 papers in Statistics and Probability, 8 papers in Aerospace Engineering and 5 papers in Control and Systems Engineering. Recurrent topics in Donald R. Barr's work include Statistical Distribution Estimation and Applications (7 papers), Advanced Statistical Methods and Models (6 papers) and Military Defense Systems Analysis (5 papers). Donald R. Barr is often cited by papers focused on Statistical Distribution Estimation and Applications (7 papers), Advanced Statistical Methods and Models (6 papers) and Military Defense Systems Analysis (5 papers). Donald R. Barr collaborates with scholars based in United States. Donald R. Barr's co-authors include Marlin U. Thomas, M. Haseeb Rizvi, Lawrence M. Leemis, Andrew G. Glen, Thomas Burnett, R. J. Radtke, Anna Charlotte Schultz, Harold J. Larson, John V. Farr and James J. Hoffman and has published in prestigious journals such as Journal of the American Statistical Association, Technometrics and Communications of the ACM.

In The Last Decade

Donald R. Barr

32 papers receiving 505 citations

Author Peers

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

Author Last Decade Papers Cites
Donald R. Barr 226 102 92 75 44 38 554
Wallace E. Franck 203 0.9× 61 0.6× 124 1.3× 85 1.1× 69 1.6× 18 571
Lianfen Qian 294 1.3× 77 0.8× 89 1.0× 74 1.0× 15 0.3× 27 639
N. Giri 213 0.9× 38 0.4× 108 1.2× 45 0.6× 38 0.9× 50 648
Kei Takeuchi 271 1.2× 57 0.6× 102 1.1× 68 0.9× 24 0.5× 57 532
Geoffrey Yeo 134 0.6× 41 0.4× 55 0.6× 90 1.2× 39 0.9× 64 676
Xin Tong 118 0.5× 88 0.9× 205 2.2× 69 0.9× 81 1.8× 46 573
R. C. H. Cheng 278 1.2× 143 1.4× 173 1.9× 101 1.3× 95 2.2× 31 645
Kai‐Sheng Song 208 0.9× 69 0.7× 65 0.7× 31 0.4× 12 0.3× 28 509
Abdelkader Mokkadem 269 1.2× 41 0.4× 205 2.2× 67 0.9× 37 0.8× 37 554
J. S. Dagpunar 184 0.8× 78 0.8× 99 1.1× 52 0.7× 27 0.6× 40 603

Countries citing papers authored by Donald R. Barr

Since Specialization
Citations

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

Fields of papers citing papers by Donald R. Barr

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Donald R. Barr

This figure shows the co-authorship network connecting the top 25 collaborators of Donald R. Barr. A scholar is included among the top collaborators of Donald R. Barr 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 Donald R. Barr. Donald R. Barr 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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