Leo A. Aroian

81 total papers · 1.8k total citations
43 papers, 715 citations indexed

About

Leo A. Aroian is a scholar working on Statistics and Probability, Statistics, Probability and Uncertainty and Management Science and Operations Research. According to data from OpenAlex, Leo A. Aroian has authored 43 papers receiving a total of 715 indexed citations (citations by other indexed papers that have themselves been cited), including 13 papers in Statistics and Probability, 9 papers in Statistics, Probability and Uncertainty and 6 papers in Management Science and Operations Research. Recurrent topics in Leo A. Aroian's work include Advanced Statistical Process Monitoring (7 papers), Statistical Distribution Estimation and Applications (7 papers) and Advanced Statistical Methods and Models (4 papers). Leo A. Aroian is often cited by papers focused on Advanced Statistical Process Monitoring (7 papers), Statistical Distribution Estimation and Applications (7 papers) and Advanced Statistical Methods and Models (4 papers). Leo A. Aroian collaborates with scholars based in United States and Türkiye. Leo A. Aroian's co-authors include William Q. Meeker, Jagdish K. Patel, Campbell B. Read, W. E. Sharp, David R. Brillinger, P. R. Krishnaiah, Charles Oprian, D.A. Voss, Melvin D. Springer and Irwin Guttman and has published in prestigious journals such as Technometrics, Biometrics and Biometrika.

In The Last Decade

Leo A. Aroian

41 papers receiving 631 citations

Author Peers

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

Author Last Decade Papers Cites
Leo A. Aroian 248 145 124 112 61 43 715
N. Turkkan 381 1.5× 146 1.0× 177 1.4× 111 1.0× 42 0.7× 48 790
Jagdish K. Patel 200 0.8× 101 0.7× 104 0.8× 86 0.8× 52 0.9× 32 731
G. Arthur Mihram 189 0.8× 105 0.7× 97 0.8× 172 1.5× 66 1.1× 30 805
C. H. Kapadia 205 0.8× 86 0.6× 75 0.6× 91 0.8× 58 1.0× 26 754
Éric Marchand 469 1.9× 161 1.1× 114 0.9× 85 0.8× 41 0.7× 66 650
Z. A. Łomnicki 215 0.9× 107 0.7× 70 0.6× 89 0.8× 52 0.9× 24 829
Dost Muhammad Khan 171 0.7× 90 0.6× 151 1.2× 113 1.0× 52 0.9× 75 880
Warren Gilchrist 285 1.1× 258 1.8× 94 0.8× 156 1.4× 39 0.6× 26 803
Frank Lad 229 0.9× 111 0.8× 198 1.6× 82 0.7× 92 1.5× 38 730
Rosa E. Lillo 386 1.6× 187 1.3× 177 1.4× 180 1.6× 28 0.5× 89 865

Countries citing papers authored by Leo A. Aroian

Since Specialization
Citations

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

Fields of papers citing papers by Leo A. Aroian

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Leo A. Aroian

This figure shows the co-authorship network connecting the top 25 collaborators of Leo A. Aroian. A scholar is included among the top collaborators of Leo A. Aroian 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 Leo A. Aroian. Leo A. Aroian 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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