Andrew Reibman

761 total citations
10 papers, 480 citations indexed

About

Andrew Reibman is a scholar working on Safety, Risk, Reliability and Quality, Management Information Systems and Computational Theory and Mathematics. According to data from OpenAlex, Andrew Reibman has authored 10 papers receiving a total of 480 indexed citations (citations by other indexed papers that have themselves been cited), including 5 papers in Safety, Risk, Reliability and Quality, 4 papers in Management Information Systems and 4 papers in Computational Theory and Mathematics. Recurrent topics in Andrew Reibman's work include Reliability and Maintenance Optimization (5 papers), Software Reliability and Analysis Research (4 papers) and Advanced Queuing Theory Analysis (4 papers). Andrew Reibman is often cited by papers focused on Reliability and Maintenance Optimization (5 papers), Software Reliability and Analysis Research (4 papers) and Advanced Queuing Theory Analysis (4 papers). Andrew Reibman collaborates with scholars based in United States and France. Andrew Reibman's co-authors include Kishor S. Trivedi, Roger M. Smith, Manish Malhotra, Bruce W. Ballard and Gianfranco Ciardo and has published in prestigious journals such as European Journal of Operational Research, Computers & Operations Research and Journal of Guidance Control and Dynamics.

In The Last Decade

Andrew Reibman

10 papers receiving 453 citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name	h						Papers	Cites
Andrew Reibman United States	8	180	166	161	106	104	10	480
A. Goyal United States	12	182 1.0×	149 0.9×	221 1.4×	206 1.9×	184 1.8×	18	664
V.F. Nicola United States	14	257 1.4×	115 0.7×	176 1.1×	243 2.3×	144 1.4×	24	729
John F. Meyer United States	13	121 0.7×	314 1.9×	113 0.7×	338 3.2×	189 1.8×	47	781
Axel Thümmler Germany	11	101 0.6×	68 0.4×	39 0.2×	210 2.0×	60 0.6×	21	408
Mark Smotherman United States	11	35 0.2×	112 0.7×	200 1.2×	160 1.5×	203 2.0×	30	495
Leı̈la Kloul France	11	51 0.3×	84 0.5×	51 0.3×	117 1.1×	77 0.7×	39	302
Ulrich Herzog Germany	8	456 2.5×	247 1.5×	69 0.4×	349 3.3×	86 0.8×	28	795
Victor F. Nicola Netherlands	13	148 0.8×	29 0.2×	55 0.3×	157 1.5×	37 0.4×	29	398
Serge Haddad France	14	218 1.2×	493 3.0×	26 0.2×	193 1.8×	137 1.3×	82	740
Michael K. Molloy United States	7	197 1.1×	309 1.9×	19 0.1×	151 1.4×	28 0.3×	19	463

Countries citing papers authored by Andrew Reibman

Since Specialization

Citations

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

Fields of papers citing papers by Andrew Reibman

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Andrew Reibman. 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 Andrew Reibman. The network helps show where Andrew Reibman may publish in the future.

Co-authorship network of co-authors of Andrew Reibman

This figure shows the co-authorship network connecting the top 25 collaborators of Andrew Reibman. A scholar is included among the top collaborators of Andrew Reibman 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 Andrew Reibman. Andrew Reibman is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

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10 of 10 papers shown

1.

Malhotra, Manish & Andrew Reibman. (1993). Selecting and implementing phase approximations for semi-Markov models. Communications in Statistics Stochastic Models. 9(4). 473–506. 45 indexed citations

2.

Reibman, Andrew, et al.. (1989). Analysis of Stiff Markov Chains. INFORMS Journal on Computing. 1(2). 126–133. 9 indexed citations

3.

Reibman, Andrew & Kishor S. Trivedi. (1989). Transient analysis of cumulative measures of markov model behavior. Communications in Statistics Stochastic Models. 5(4). 683–710. 49 indexed citations

4.

Reibman, Andrew, Roger M. Smith, & Kishor S. Trivedi. (1989). Markov and Markov reward model transient analysis: An overview of numerical approaches. European Journal of Operational Research. 40(2). 257–267. 102 indexed citations

5.

Reibman, Andrew, et al.. (1989). Markov reliability models for digital flight control systems. Journal of Guidance Control and Dynamics. 12(2). 209–219. 2 indexed citations

6.

Reibman, Andrew & Kishor S. Trivedi. (1988). Numerical transient analysis of markov models. Computers & Operations Research. 15(1). 19–36. 208 indexed citations

7.

Reibman, Andrew & Kishor S. Trivedi. (1987). Transient analysis of large, stiff markov models: numerical and approximate solution techniques. 1 indexed citations

8.

Trivedi, Kishor S., Andrew Reibman, & Roger M. Smith. (1987). Transient Analysis of Markov and Markov Reward Models.. 535–545. 7 indexed citations

9.

Reibman, Andrew, et al.. (1987). Transient analysis of acyclic markov chains. Performance Evaluation. 7(3). 175–194. 41 indexed citations

10.

Reibman, Andrew & Bruce W. Ballard. (1983). Non-minimax search strategies for use against fallible opponents. National Conference on Artificial Intelligence. 338–342. 16 indexed citations

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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