Matthew J. Robbins

936 total citations
38 papers, 641 citations indexed

About

Matthew J. Robbins is a scholar working on Organizational Behavior and Human Resource Management, Economics and Econometrics and Aerospace Engineering. According to data from OpenAlex, Matthew J. Robbins has authored 38 papers receiving a total of 641 indexed citations (citations by other indexed papers that have themselves been cited), including 14 papers in Organizational Behavior and Human Resource Management, 9 papers in Economics and Econometrics and 8 papers in Aerospace Engineering. Recurrent topics in Matthew J. Robbins's work include Facility Location and Emergency Management (14 papers), Military Defense Systems Analysis (8 papers) and Guidance and Control Systems (5 papers). Matthew J. Robbins is often cited by papers focused on Facility Location and Emergency Management (14 papers), Military Defense Systems Analysis (8 papers) and Guidance and Control Systems (5 papers). Matthew J. Robbins collaborates with scholars based in United States. Matthew J. Robbins's co-authors include Brian J. Lunday, Sheldon H. Jacobson, Phillip R. Jenkins, Sarah G. Nurre, Michael T. Davis, Alexander Nikolaev, James F. Morris, Richard F. Deckro, Douglas M. King and Nathaniel D. Bastian and has published in prestigious journals such as European Journal of Operational Research, Expert Systems with Applications and Journal of the Operational Research Society.

In The Last Decade

Matthew J. Robbins

37 papers receiving 613 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Matthew J. Robbins United States 16 130 125 97 92 72 38 641
Brian J. Lunday United States 19 202 1.6× 229 1.8× 195 2.0× 62 0.7× 36 0.5× 60 830
Monica Gentili Italy 20 112 0.9× 142 1.1× 273 2.8× 107 1.2× 31 0.4× 57 1.2k
Sharan Srinivas United States 20 294 2.3× 111 0.9× 51 0.5× 295 3.2× 19 0.3× 47 1.2k
Suchithra Rajendran United States 17 194 1.5× 60 0.5× 60 0.6× 321 3.5× 34 0.5× 50 1.0k
Christopher A. Hane United States 11 129 1.0× 32 0.3× 94 1.0× 129 1.4× 29 0.4× 17 1.0k
Murray J. Côté United States 18 96 0.7× 177 1.4× 51 0.5× 48 0.5× 7 0.1× 32 955
Xiao-Min Hu China 18 48 0.4× 147 1.2× 130 1.3× 21 0.2× 12 0.2× 77 1.4k
Sara Khodaparasti Italy 13 64 0.5× 248 2.0× 41 0.4× 94 1.0× 13 0.2× 25 530
Bhavin J. Shah India 12 41 0.3× 95 0.8× 13 0.1× 11 0.1× 17 0.2× 43 716

Countries citing papers authored by Matthew J. Robbins

Since Specialization
Citations

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

Fields of papers citing papers by Matthew J. Robbins

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Matthew J. Robbins. 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 Matthew J. Robbins. The network helps show where Matthew J. Robbins may publish in the future.

Co-authorship network of co-authors of Matthew J. Robbins

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

All Works

20 of 20 papers shown
1.
Jenkins, Phillip R., et al.. (2023). Solving the joint military medical evacuation problem via a random forest approximate dynamic programming approach. Expert Systems with Applications. 221. 119751–119751. 6 indexed citations
2.
Jenkins, Phillip R., et al.. (2023). Characterizing military medical evacuation dispatching and delivery policies via a self-exciting spatio-temporal Hawkes process model. Journal of the Operational Research Society. 75(7). 1239–1260.
3.
Robbins, Matthew J., et al.. (2023). Solving nonstationary Markov decision processes via contextual decomposition: A military air battle management application. Expert Systems with Applications. 233. 120949–120949. 2 indexed citations
4.
Lunday, Brian J., et al.. (2022). Intruder detection and interdiction modeling: A bilevel programming approach for ballistic missile defense asset location. Omega. 110. 102640–102640. 5 indexed citations
5.
Robbins, Matthew J., et al.. (2022). An approximate dynamic programming approach for solving an air combat maneuvering problem. Expert Systems with Applications. 203. 117448–117448. 22 indexed citations
6.
Robbins, Matthew J., et al.. (2020). An approximate dynamic programming approach for comparing firing policies in a networked air defense environment. Computers & Operations Research. 117. 104890–104890. 27 indexed citations
7.
Jenkins, Phillip R., Matthew J. Robbins, & Brian J. Lunday. (2020). Approximate dynamic programming for the military aeromedical evacuation dispatching, preemption-rerouting, and redeployment problem. European Journal of Operational Research. 290(1). 132–143. 13 indexed citations
8.
Jenkins, Phillip R., Brian J. Lunday, & Matthew J. Robbins. (2019). Robust, multi-objective optimization for the military medical evacuation location-allocation problem. Omega. 97. 102088–102088. 55 indexed citations
9.
Jenkins, Phillip R., Matthew J. Robbins, & Brian J. Lunday. (2018). Examining military medical evacuation dispatching policies utilizing a Markov decision process model of a controlled queueing system. Annals of Operations Research. 271(2). 641–678. 13 indexed citations
10.
Robbins, Matthew J., et al.. (2016). Approximate dynamic programming algorithms for United States Air Force officer sustainment. Winter Simulation Conference. 3075–3086. 3 indexed citations
11.
Robbins, Matthew J., et al.. (2016). Approximate dynamic programming algorithms for United States Air Force officer sustainment. 2016 Winter Simulation Conference (WSC). 3075–3086. 5 indexed citations
12.
Robbins, Matthew J., et al.. (2016). Approximate dynamic programming for the dispatch of military medical evacuation assets. European Journal of Operational Research. 254(3). 824–839. 29 indexed citations
13.
Davis, Michael T., Matthew J. Robbins, & Brian J. Lunday. (2016). Approximate dynamic programming for missile defense interceptor fire control. European Journal of Operational Research. 259(3). 873–886. 48 indexed citations
14.
Lunday, Brian J. & Matthew J. Robbins. (2016). Informing pediatric vaccine procurement policy via the pediatric formulary design, pricing, and production problem. IIE Transactions. 48(12). 1112–1126. 3 indexed citations
15.
Robbins, Matthew J. & Brian J. Lunday. (2015). A bilevel formulation of the pediatric vaccine pricing problem. European Journal of Operational Research. 248(2). 634–645. 25 indexed citations
16.
Jacobson, Sheldon H., et al.. (2015). A symmetric capacity-constrained differentiated oligopoly model for the United States pediatric vaccine market with linear demand. IIE Transactions. 47(11). 1252–1266. 9 indexed citations
17.
Robbins, Matthew J., et al.. (2014). A markov decision process model for the optimal dispatch of military medical evacuation assets. Health Care Management Science. 19(2). 111–129. 26 indexed citations
18.
Robbins, Matthew J. & Sheldon H. Jacobson. (2014). Analytics for vaccine economics and pricing: insights and observations. Expert Review of Vaccines. 14(4). 605–616. 19 indexed citations
19.
Robbins, Matthew J. & Sheldon H. Jacobson. (2011). Pediatric vaccine procurement policy: The monopsonist's problem. Omega. 39(6). 589–597. 22 indexed citations
20.
Robbins, Matthew J., Sheldon H. Jacobson, & Edward C. Sewell. (2009). Pricing strategies for combination pediatric vaccines and their impact on revenue: Pediarix® or Pentacel®?. Health Care Management Science. 13(1). 54–64. 13 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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