Thomas W. Lucas

552 total citations
11 papers, 400 citations indexed

About

Thomas W. Lucas is a scholar working on Management Science and Operations Research, Computational Theory and Mathematics and Information Systems. According to data from OpenAlex, Thomas W. Lucas has authored 11 papers receiving a total of 400 indexed citations (citations by other indexed papers that have themselves been cited), including 9 papers in Management Science and Operations Research, 6 papers in Computational Theory and Mathematics and 2 papers in Information Systems. Recurrent topics in Thomas W. Lucas's work include Simulation Techniques and Applications (6 papers), Advanced Multi-Objective Optimization Algorithms (5 papers) and Optimal Experimental Design Methods (4 papers). Thomas W. Lucas is often cited by papers focused on Simulation Techniques and Applications (6 papers), Advanced Multi-Objective Optimization Algorithms (5 papers) and Optimal Experimental Design Methods (4 papers). Thomas W. Lucas collaborates with scholars based in United States, Brazil and Türkiye. Thomas W. Lucas's co-authors include Thomas M. Cioppa, Susan M. Sanchez, Alejandro Hernández, Matthew Carlyle, James Dewar, James S. Hodges, Steven C. Bankes, Victor Wiley and Paul J. Sánchez and has published in prestigious journals such as SHILAP Revista de lepidopterología, Technometrics and ACM Transactions on Modeling and Computer Simulation.

In The Last Decade

Thomas W. Lucas

11 papers receiving 372 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Thomas W. Lucas United States	7	201	120	67	61	48	11	400
Jason M. Aughenbaugh United States	10	109 0.5×	104 0.9×	146 2.2×	50 0.8×	63 1.3×	28	431
Enlu Zhou United States	13	318 1.6×	140 1.2×	87 1.3×	83 1.4×	55 1.1×	88	610
Pavlo Krokhmal United States	13	246 1.2×	52 0.4×	32 0.5×	60 1.0×	55 1.1×	39	505
Paul J. Sánchez United States	12	255 1.3×	87 0.7×	28 0.4×	49 0.8×	91 1.9×	29	401
B.G.M. Husslage Netherlands	11	249 1.2×	272 2.3×	168 2.5×	19 0.3×	53 1.1×	17	568
Eunhye Song United States	9	224 1.1×	96 0.8×	137 2.0×	32 0.5×	41 0.9×	40	388
H. Grant Canada	4	162 0.8×	38 0.3×	31 0.5×	41 0.7×	109 2.3×	7	477
S.D. Hill United States	11	171 0.9×	46 0.4×	41 0.6×	72 1.2×	45 0.9×	37	324
Hongming Mo China	15	318 1.6×	91 0.8×	77 1.1×	89 1.5×	16 0.3×	23	724
Welington de Oliveira France	16	285 1.4×	301 2.5×	57 0.9×	113 1.9×	21 0.4×	46	709

Countries citing papers authored by Thomas W. Lucas

Since Specialization

Citations

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

Fields of papers citing papers by Thomas W. Lucas

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Thomas W. Lucas. 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 Thomas W. Lucas. The network helps show where Thomas W. Lucas may publish in the future.

Co-authorship network of co-authors of Thomas W. Lucas

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

All Works

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11 of 11 papers shown

1.

Lucas, Thomas W., et al.. (2021). Investigating an Active Shooter Defeat System With Simulation And Data Farming. 1–12. 4 indexed citations

2.

Wiley, Victor, et al.. (2019). Programmer Selection Using Modified Fuzzy Mamdani Method. SHILAP Revista de lepidopterología. 108–108. 3 indexed citations

3.

Lucas, Thomas W., et al.. (2019). A Data Farming Analysis of A Simulation of Armstrong’s Stochastic Salvo Model. 2443–2454. 1 indexed citations

4.

Lucas, Thomas W., et al.. (2016). Second-order nearly orthogonal Latin hypercubes for exploring stochastic simulations. Journal of Simulation. 11(2). 137–150. 19 indexed citations

5.

Hernández, Alejandro, Thomas W. Lucas, & Matthew Carlyle. (2012). Constructing nearly orthogonal latin hypercubes for any nonsaturated run-variable combination. ACM Transactions on Modeling and Computer Simulation. 22(4). 1–17. 31 indexed citations

6.

Cioppa, Thomas M., et al.. (2007). Efficient Nearly Orthogonal and Space-Filling. 22 indexed citations

7.

Cioppa, Thomas M. & Thomas W. Lucas. (2007). Efficient Nearly Orthogonal and Space-Filling Latin Hypercubes. Technometrics. 49(1). 45–55. 241 indexed citations

8.

Cioppa, Thomas M., Thomas W. Lucas, & Susan M. Sanchez. (2004). Military applications of agent-based simulations. Winter Simulation Conference. 1. 171–180. 50 indexed citations

9.

Lucas, Thomas W., et al.. (2004). The Effect of Battle Circumstances on Fitting Lanchester Equations to the Battle of Kursk. Military Operations Research. 9(2). 17–30. 13 indexed citations

10.

Lucas, Thomas W. & Susan M. Sanchez. (2003). Smart experimental designs provide military decision-makers with new insights from agent-based simulations. Defense Technical Information Center (DTIC). 4 indexed citations

11.

Dewar, James, et al.. (1996). Credible uses of the distributed interactive simulation (DIS) system. 12 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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