David S. Rubin

31 total papers · 807 total citations
21 papers, 511 citations indexed

About

David S. Rubin is a scholar working on Computer Networks and Communications, Computational Theory and Mathematics and Safety, Risk, Reliability and Quality. According to data from OpenAlex, David S. Rubin has authored 21 papers receiving a total of 511 indexed citations (citations by other indexed papers that have themselves been cited), including 4 papers in Computer Networks and Communications, 4 papers in Computational Theory and Mathematics and 3 papers in Safety, Risk, Reliability and Quality. Recurrent topics in David S. Rubin's work include Reliability and Maintenance Optimization (3 papers), Vehicle Routing Optimization Methods (3 papers) and Optimization and Mathematical Programming (2 papers). David S. Rubin is often cited by papers focused on Reliability and Maintenance Optimization (3 papers), Vehicle Routing Optimization Methods (3 papers) and Optimization and Mathematical Programming (2 papers). David S. Rubin collaborates with scholars based in United States. David S. Rubin's co-authors include Richard I. Levin, Harvey M. Wagner, Patrick G. McKeown, I. Borosh, George S. Fishman, Robert L. Graves, Marion G. Sobol, F. J. Gould, Martin K. Starr and Boris L. Granovsky and has published in prestigious journals such as Journal of the American Statistical Association, Management Science and Operations Research.

In The Last Decade

David S. Rubin

21 papers receiving 416 citations

Author Peers

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

Author						Papers	Cites
David S. Rubin	107	70	68	60	59	21	511
Susan W. Palocsay	70 0.7×	64 0.9×	55 0.8×	76 1.3×	38 0.6×	27	472
Rafael Blanquero	61 0.6×	63 0.9×	71 1.0×	39 0.7×	165 2.8×	35	486
Jan Telgen	53 0.5×	59 0.8×	117 1.7×	67 1.1×	22 0.4×	31	528
Boglárka G.-Tóth	159 1.5×	65 0.9×	35 0.5×	102 1.7×	50 0.8×	43	563
Yu. M. Ermol’ev	157 1.5×	48 0.7×	111 1.6×	139 2.3×	61 1.0×	39	470
Dennis L. Bricker	120 1.1×	102 1.5×	139 2.0×	78 1.3×	32 0.5×	37	608
Richard E. Wendell	124 1.2×	67 1.0×	71 1.0×	66 1.1×	20 0.3×	10	460
Eduardo Conde	91 0.9×	130 1.9×	260 3.8×	38 0.6×	58 1.0×	38	605
A. Victor Cabot	105 1.0×	127 1.8×	36 0.5×	119 2.0×	28 0.5×	22	469
K Darby-Dowman	67 0.6×	74 1.1×	194 2.9×	11 0.2×	48 0.8×	31	477

Countries citing papers authored by David S. Rubin

Since Specialization

Citations

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

Fields of papers citing papers by David S. Rubin

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by David S. Rubin. 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 David S. Rubin. The network helps show where David S. Rubin may publish in the future.

Co-authorship network of co-authors of David S. Rubin

This figure shows the co-authorship network connecting the top 25 collaborators of David S. Rubin. A scholar is included among the top collaborators of David S. Rubin 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 David S. Rubin. David S. Rubin 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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