A. R. Manson

18 total papers · 631 total citations
12 papers, 393 citations indexed

About

A. R. Manson is a scholar working on Management Science and Operations Research, Statistics, Probability and Uncertainty and Artificial Intelligence. According to data from OpenAlex, A. R. Manson has authored 12 papers receiving a total of 393 indexed citations (citations by other indexed papers that have themselves been cited), including 5 papers in Management Science and Operations Research, 5 papers in Statistics, Probability and Uncertainty and 2 papers in Artificial Intelligence. Recurrent topics in A. R. Manson's work include Optimal Experimental Design Methods (4 papers), Probabilistic and Robust Engineering Design (4 papers) and Statistical Distribution Estimation and Applications (2 papers). A. R. Manson is often cited by papers focused on Optimal Experimental Design Methods (4 papers), Probabilistic and Robust Engineering Design (4 papers) and Statistical Distribution Estimation and Applications (2 papers). A. R. Manson collaborates with scholars based in United States and Canada. A. R. Manson's co-authors include Raymond H. Myers, Robert J. Hader, Marvin J. Karson, Renaud Côté, L. A. Nelson, Alan Gleit, M. R. Leadbetter, A. J. Barr and Ronald W. Helms and has published in prestigious journals such as Journal of the American Statistical Association, Technometrics and The American Statistician.

In The Last Decade

A. R. Manson

10 papers receiving 362 citations

Author Peers

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

Author						Papers	Cites
A. R. Manson	136	85	84	68	40	12	393
In‐Jun Jeong	189 1.4×	100 1.2×	138 1.6×	67 1.0×	34 0.8×	17	426
Laura Ilzarbe	107 0.8×	63 0.7×	39 0.5×	74 1.1×	4 0.1×	14	339
P.J. Reddy	75 0.6×	41 0.5×	58 0.7×	14 0.2×	11 0.3×	28	446
Onur Köksoy	172 1.3×	102 1.2×	129 1.5×	49 0.7×	9 0.2×	17	396
Fernando P. Bernardo	39 0.3×	38 0.4×	62 0.7×	31 0.5×	20 0.5×	18	374
Koji Muteki	17 0.1×	45 0.5×	45 0.5×	106 1.6×	33 0.8×	20	438
Delia J. Valles-Rosales	29 0.2×	41 0.5×	11 0.1×	35 0.5×	41 1.0×	35	414
V.P. Agrawal	227 1.7×	25 0.3×	32 0.4×	67 1.0×	4 0.1×	19	441
Kwang‐Jae Kim	219 1.6×	28 0.3×	33 0.4×	39 0.6×	12 0.3×	10	408
Sebastião Carlos da Costa	57 0.4×	29 0.3×	39 0.5×	212 3.1×	5 0.1×	22	345

Countries citing papers authored by A. R. Manson

Since Specialization

Citations

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

Fields of papers citing papers by A. R. Manson

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of A. R. Manson

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