Gary R. Reeves

58 total papers · 991 total citations
40 papers, 747 citations indexed

About

Gary R. Reeves is a scholar working on Management Science and Operations Research, Control and Systems Engineering and Management Information Systems. According to data from OpenAlex, Gary R. Reeves has authored 40 papers receiving a total of 747 indexed citations (citations by other indexed papers that have themselves been cited), including 20 papers in Management Science and Operations Research, 19 papers in Control and Systems Engineering and 10 papers in Management Information Systems. Recurrent topics in Gary R. Reeves's work include Optimization and Mathematical Programming (17 papers), Multi-Criteria Decision Making (10 papers) and Supply Chain and Inventory Management (8 papers). Gary R. Reeves is often cited by papers focused on Optimization and Mathematical Programming (17 papers), Multi-Criteria Decision Making (10 papers) and Supply Chain and Inventory Management (8 papers). Gary R. Reeves collaborates with scholars based in United States and Hungary. Gary R. Reeves's co-authors include Kenneth D. Lawrence, Lori S. Franz, Juan‐José Salazar‐González, Lawrence R. Jauch, Timothy W. Butler, Kirk R. Karwan, Terry R. Rakes, Tim R. L. Fry, Ronald K. Klimberg and James J. Chrisman and has published in prestigious journals such as Management Science, European Journal of Operational Research and Information & Management.

In The Last Decade

Gary R. Reeves

40 papers receiving 691 citations

Author Peers

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

Author						Papers	Cites
Gary R. Reeves	445	242	108	102	100	40	747
N. K. Kwak	311 0.7×	254 1.0×	87 0.8×	106 1.0×	134 1.3×	49	795
C. Lucas	486 1.1×	186 0.8×	120 1.1×	108 1.1×	169 1.7×	35	878
Vishal Gupta	399 0.9×	186 0.8×	73 0.7×	74 0.7×	102 1.0×	23	857
F.R. Fernández	373 0.8×	149 0.6×	182 1.7×	165 1.6×	83 0.8×	42	730
Grani A. Hanasusanto	497 1.1×	297 1.2×	40 0.4×	76 0.7×	107 1.1×	26	795
Willem K. Klein Haneveld	411 0.9×	218 0.9×	87 0.8×	160 1.6×	301 3.0×	42	860
Jeffrey L. Ringuest	473 1.1×	235 1.0×	76 0.7×	80 0.8×	102 1.0×	50	892
Francesca Maggioni	221 0.5×	186 0.8×	37 0.3×	145 1.4×	88 0.9×	61	781
Bernardo K. Pagnoncelli	304 0.7×	238 1.0×	63 0.6×	81 0.8×	61 0.6×	39	691
Alexei A. Gaivoronski	531 1.2×	114 0.5×	167 1.5×	60 0.6×	94 0.9×	58	890

Countries citing papers authored by Gary R. Reeves

Since Specialization

Citations

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

Fields of papers citing papers by Gary R. Reeves

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Gary R. Reeves

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