David Y. Burman

15 total papers · 573 total citations
11 papers, 463 citations indexed

About

David Y. Burman is a scholar working on Management Information Systems, Computer Networks and Communications and Computational Theory and Mathematics. According to data from OpenAlex, David Y. Burman has authored 11 papers receiving a total of 463 indexed citations (citations by other indexed papers that have themselves been cited), including 10 papers in Management Information Systems, 5 papers in Computer Networks and Communications and 5 papers in Computational Theory and Mathematics. Recurrent topics in David Y. Burman's work include Advanced Queuing Theory Analysis (10 papers), Petri Nets in System Modeling (5 papers) and Probability and Risk Models (4 papers). David Y. Burman is often cited by papers focused on Advanced Queuing Theory Analysis (10 papers), Petri Nets in System Modeling (5 papers) and Probability and Risk Models (4 papers). David Y. Burman collaborates with scholars based in United States, Canada and Ireland. David Y. Burman's co-authors include Donald R. Smith, John P. Lehoczky, John Huber and Susan L. Albin and has published in prestigious journals such as Operations Research, Mathematics of Operations Research and Journal of Manufacturing Systems.

In The Last Decade

David Y. Burman

11 papers receiving 430 citations

Author Peers

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

Author						Papers	Cites
David Y. Burman	341	192	147	98	78	11	463
Martin Eisenberg	333 1.0×	201 1.0×	116 0.8×	162 1.7×	51 0.7×	17	457
Hui Li	368 1.1×	106 0.6×	182 1.2×	121 1.2×	14 0.2×	20	405
P. J. Hunt	357 1.0×	342 1.8×	76 0.5×	179 1.8×	13 0.2×	18	551
Jinhua Cao	263 0.8×	34 0.2×	143 1.0×	63 0.6×	55 0.7×	22	468
Otis B. Jennings	304 0.9×	88 0.5×	117 0.8×	81 0.8×	49 0.6×	15	407
Roudolf Iasnogorodski	308 0.9×	216 1.1×	123 0.8×	133 1.4×	10 0.1×	12	530
Andrew Reibman	180 0.5×	106 0.6×	77 0.5×	47 0.5×	24 0.3×	10	480
Axel Thümmler	101 0.3×	211 1.1×	80 0.5×	107 1.1×	24 0.3×	21	409
A. Khamisy	270 0.8×	399 2.1×	47 0.3×	205 2.1×	7 0.1×	28	485
S.C. Borst	180 0.5×	383 2.0×	72 0.5×	334 3.4×	12 0.2×	30	504

Countries citing papers authored by David Y. Burman

Since Specialization

Citations

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

Fields of papers citing papers by David Y. Burman

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of David Y. Burman

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