Phillip R. Jenkins

415 total citations
26 papers, 261 citations indexed

About

Phillip R. Jenkins is a scholar working on Organizational Behavior and Human Resource Management, Artificial Intelligence and Mechanics of Materials. According to data from OpenAlex, Phillip R. Jenkins has authored 26 papers receiving a total of 261 indexed citations (citations by other indexed papers that have themselves been cited), including 10 papers in Organizational Behavior and Human Resource Management, 8 papers in Artificial Intelligence and 5 papers in Mechanics of Materials. Recurrent topics in Phillip R. Jenkins's work include Facility Location and Emergency Management (10 papers), Laser-induced spectroscopy and plasma (5 papers) and Analytical chemistry methods development (4 papers). Phillip R. Jenkins is often cited by papers focused on Facility Location and Emergency Management (10 papers), Laser-induced spectroscopy and plasma (5 papers) and Analytical chemistry methods development (4 papers). Phillip R. Jenkins collaborates with scholars based in United States. Phillip R. Jenkins's co-authors include Matthew J. Robbins, Brian J. Lunday, John D. Auxier, Anil K. Patnaik, Raymond R. Hill, Nathaniel D. Bastian, Dung M. Vu, Nathan Gaw, Christopher J. Long and David Banks 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

Phillip R. Jenkins

23 papers receiving 252 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Phillip R. Jenkins United States	11	78	60	41	35	32	26	261
Michele Gallo Italy	10	16 0.2×	24 0.4×	17 0.4×	91 2.6×	10 0.3×	53	281
Ken Yeh Taiwan	9	15 0.2×	16 0.3×	5 0.1×	69 2.0×	9 0.3×	21	340
Jialin Cao China	9	9 0.1×	50 0.8×	3 0.1×	9 0.3×	18 0.6×	56	307
Yong-Mi Kim United States	5	10 0.1×	15 0.3×	3 0.1×	102 2.9×	11 0.3×	13	336
Yuefeng Li China	7	9 0.1×	47 0.8×	2 0.0×	145 4.1×	17 0.5×	23	367
P.F. Frutuoso e Melo Brazil	11	4 0.1×	21 0.3×	2 0.0×	16 0.5×	58 1.8×	61	419
Lianhua Cheng China	9	40 0.5×	56 0.9×	1 0.0×	8 0.2×	20 0.6×	28	317
William A. Brenneman United States	11	4 0.1×	8 0.1×	8 0.2×	41 1.2×	7 0.2×	24	361
Xiaoya Song China	12	8 0.1×	3 0.1×	6 0.1×	35 1.0×	9 0.3×	38	445

Countries citing papers authored by Phillip R. Jenkins

Since Specialization

Citations

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

Fields of papers citing papers by Phillip R. Jenkins

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Phillip R. Jenkins

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

All Works

Sort: Min cites: Since: Top N: Style:

20 of 20 papers shown

Jenkins, Phillip R., et al.. (2025). On Large Language Models in National Security Applications. Stat. 14(2). 3 indexed citations

Banks, David, et al.. (2024). A behavioral approach to repeated Bayesian security games. The Annals of Applied Statistics. 18(1).

Jenkins, Phillip R., et al.. (2024). Responsible machine learning for United States Air Force pilot candidate selection. Decision Support Systems. 180. 114198–114198. 6 indexed citations

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

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.

Jenkins, Phillip R., et al.. (2023). LIBS and Raman spectroscopy in tandem with machine learning for interrogating weatherization of lithium hydride. Applied Optics. 62(6). A118–A118. 5 indexed citations

Jenkins, Phillip R., et al.. (2023). Machine learning in analytical spectroscopy for nuclear diagnostics [Invited]. Applied Optics. 62(6). A83–A83. 14 indexed citations

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

Jenkins, Phillip R., et al.. (2022). Analytical comparisons of handheld LIBS and XRF devices for rapid quantification of gallium in a plutonium surrogate matrix. Journal of Analytical Atomic Spectrometry. 37(5). 1090–1098. 18 indexed citations

10.

Jenkins, Phillip R., et al.. (2022). Enabling orders of magnitude sensitivity improvement for quantification of Ga in a Ce matrix with a compact Echelle spectrometer. Journal of Analytical Atomic Spectrometry. 37(10). 1975–1980. 3 indexed citations

11.

Jenkins, Phillip R., et al.. (2021). Rapid quantitative analysis of trace elements in plutonium alloys using a handheld laser-induced breakdown spectroscopy (LIBS) device coupled with chemometrics and machine learning. Analytical Methods. 13(30). 3368–3378. 14 indexed citations

12.

Jenkins, Phillip R., et al.. (2021). Predicting success in United States Air Force pilot training using machine learning techniques. Socio-Economic Planning Sciences. 79. 101121–101121. 12 indexed citations

13.

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

14.

Jenkins, Phillip R., Matthew J. Robbins, & Brian J. Lunday. (2020). Approximate Dynamic Programming for Military Medical Evacuation Dispatching Policies. INFORMS journal on computing. 33(1). 2–26. 20 indexed citations

15.

Jenkins, Phillip R., et al.. (2020). Comparison of machine learning techniques to optimize the analysis of plutonium surrogate material via a portable LIBS device. Journal of Analytical Atomic Spectrometry. 36(2). 399–406. 16 indexed citations

16.

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

17.

Jenkins, Phillip R.. (2019). Strategic Location and Dispatch Management of Assets in a Military Medical Evacuation Enterprise. 1 indexed citations

18.

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

19.

Robbins, Matthew J., Phillip R. Jenkins, Nathaniel D. Bastian, & Brian J. Lunday. (2018). Approximate dynamic programming for the aeromedical evacuation dispatching problem: Value function approximation utilizing multiple level aggregation. Omega. 91. 102020–102020. 18 indexed citations

20.

Jenkins, Phillip R.. (2017). Using Markov Decision Processes with Heterogeneous Queueing Systems to Examine Military MEDEVAC Dispatching Policies. 2 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.

Explore authors with similar magnitude of impact