Russell E. King

2.5k total citations
145 papers, 1.8k citations indexed

About

Russell E. King is a scholar working on Industrial and Manufacturing Engineering, Control and Systems Engineering and Management Information Systems. According to data from OpenAlex, Russell E. King has authored 145 papers receiving a total of 1.8k indexed citations (citations by other indexed papers that have themselves been cited), including 51 papers in Industrial and Manufacturing Engineering, 35 papers in Control and Systems Engineering and 22 papers in Management Information Systems. Recurrent topics in Russell E. King's work include Scheduling and Optimization Algorithms (36 papers), Advanced Manufacturing and Logistics Optimization (31 papers) and Assembly Line Balancing Optimization (21 papers). Russell E. King is often cited by papers focused on Scheduling and Optimization Algorithms (36 papers), Advanced Manufacturing and Logistics Optimization (31 papers) and Assembly Line Balancing Optimization (21 papers). Russell E. King collaborates with scholars based in United States, Greece and United Kingdom. Russell E. King's co-authors include Thom J. Hodgson, P.N. Paraskevopoulos, Jeffrey A. Joines, S. Sebnem Ahiska, Henry L. W. Nuttle, Kristin Thoney-Barletta, Michael G. Kay, Donald P. Warsing, Paul Stanfield and James R. Wilson and has published in prestigious journals such as SHILAP Revista de lepidopterología, IEEE Transactions on Automatic Control and Automatica.

In The Last Decade

Russell E. King

134 papers receiving 1.6k citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Russell E. King United States	23	676	426	347	273	157	145	1.8k
Kan Wu Singapore	21	565 0.8×	499 1.2×	367 1.1×	254 0.9×	161 1.0×	106	1.6k
Karl G. Kempf United States	25	935 1.4×	666 1.6×	468 1.3×	254 0.9×	431 2.7×	96	1.9k
Wilbert E. Wilhelm United States	26	1.3k 1.9×	386 0.9×	135 0.4×	343 1.3×	187 1.2×	99	2.4k
José A. Ventura United States	27	1.1k 1.6×	670 1.6×	251 0.7×	471 1.7×	270 1.7×	138	2.2k
Zhang Wu Singapore	38	500 0.7×	346 0.8×	678 2.0×	266 1.0×	491 3.1×	190	4.4k
Don T. Phillips United States	15	1.1k 1.7×	328 0.8×	286 0.8×	107 0.4×	192 1.2×	43	1.8k
Fulya Altıparmak Türkiye	21	1.2k 1.8×	419 1.0×	328 0.9×	517 1.9×	218 1.4×	44	2.3k
Aart van Harten Netherlands	24	470 0.7×	451 1.1×	156 0.4×	472 1.7×	204 1.3×	66	1.7k
Gilbert Laporte Canada	19	1.9k 2.8×	280 0.7×	209 0.6×	176 0.6×	128 0.8×	26	2.3k
Chen-Yang Cheng Taiwan	24	1.0k 1.5×	216 0.5×	159 0.5×	188 0.7×	95 0.6×	104	1.8k

Countries citing papers authored by Russell E. King

Since Specialization

Citations

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

Fields of papers citing papers by Russell E. King

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Russell E. King. 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 Russell E. King. The network helps show where Russell E. King may publish in the future.

Co-authorship network of co-authors of Russell E. King

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

All Works

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20 of 20 papers shown

Gelman, Len, et al.. (2024). A Novel Diagnostic Feature for a Wind Turbine Imbalance Under Variable Speed Conditions. Sensors. 24(21). 7073–7073. 1 indexed citations

King, Russell E., et al.. (2023). US Army Aviation air movement operations assignment, utilization and routing. SHILAP Revista de lepidopterología. 7(1). 2–28.

Kay, Michael G., et al.. (2023). Two-stage stochastic programming model of US Army aviation allocation of utility helicopters to task forces. The Journal of Defense Modeling and Simulation Applications Methodology Technology. 22(4). 487–502.

Hodgson, Thom J., et al.. (2021). Performance tradeoffs for spare parts supply chains with additive manufacturing capability servicing intermittent demand. SHILAP Revista de lepidopterología. 5(2). 179–213. 7 indexed citations

Hodgson, Thom J., et al.. (2021). A Military Logistics Network Planning System. NCSU Libraries Repository (North Carolina State University Libraries). 1 indexed citations

Hodgson, Thom J., et al.. (2020). Modeling and transportation planning for US noncombatant evacuation operations in South Korea. SHILAP Revista de lepidopterología. 4(1). 41–69. 4 indexed citations

King, Russell E., Jillian Maloney, & Steven Constable. (2019). Controlled-Source Electromagnetic Methods (CSEM) to Detect and Characterize Resources and Hazards on the Continental Shelf. AGU Fall Meeting Abstracts. 2019. 1 indexed citations

Hodgson, Thom J., Michael G. Kay, Russell E. King, et al.. (2019). Assessing uncertainty and risk in an expeditionary military logistics network. The Journal of Defense Modeling and Simulation Applications Methodology Technology. 18(2). 135–156. 3 indexed citations

Wysk, Richard A., et al.. (2018). A supply chain model of hip stem prostheses produced using 3D printing: a comprehensive description of the simulation model. Winter Simulation Conference. 3072–3083. 2 indexed citations

10.

Wysk, Richard A., et al.. (2016). Supply chain operations reference model for U.S. based powder bed metal additive manufacturing processes. Winter Simulation Conference. 1158–1169. 3 indexed citations

11.

Davis, Lauren, Russell E. King, Thom J. Hodgson, & Wenbin Wei. (2011). Information sharing in Capacity Constrained Supply Chains. International Journal of Production Research. 49(24). 1 indexed citations

12.

Davis, Lauren, Thom J. Hodgson, Russell E. King, & Wenbin Wei. (2009). A computationally efficient algorithm for undiscounted Markov decision processes with restricted observations. Naval Research Logistics (NRL). 56(1). 1 indexed citations

13.

Thoney-Barletta, Kristin, et al.. (2004). Rolling horizon scheduling of multi-factory supply chains. 1409–1416. 5 indexed citations

14.

Thoney-Barletta, Kristin, et al.. (2003). Supply chain planning: rolling horizon scheduling of multi-factory supply chains. Winter Simulation Conference. 1409–1416. 14 indexed citations

15.

Joines, Jeffrey A., et al.. (2003). Factory scheduling: implementing a simulation-based scheduling system for a two-plant operation. Winter Simulation Conference. 1440–1448. 1 indexed citations

16.

Thoney-Barletta, Kristin, et al.. (2002). Satisfying due-dates in large multi-factory supply chains. IIE Transactions. 34(9). 803–811. 33 indexed citations

17.

Hodgson, Thom J., et al.. (1997). Dynamic lot size/sequencing policies in a multi-product, single-machine system. IIE Transactions. 29(2). 127–137. 9 indexed citations

18.

King, Russell E.. (1997). Synergistic fuzzy control. Prentice-Hall, Inc eBooks. 95–107. 1 indexed citations

19.

King, Russell E.. (1982). Worldwide offshore effort at record level--will it continue. World Oil; (United States). 1 indexed citations

20.

Thoen, Charles O., et al.. (1976). Mycobacterium Tuberculosis Infection in Two East African Oryxes. Journal of the American Veterinary Medical Association. 169(9). 912–914. 15 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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