Ronald D. Armstrong

1.9k total citations
98 papers, 1.4k citations indexed

About

Ronald D. Armstrong is a scholar working on Management Science and Operations Research, Control and Systems Engineering and Industrial and Manufacturing Engineering. According to data from OpenAlex, Ronald D. Armstrong has authored 98 papers receiving a total of 1.4k indexed citations (citations by other indexed papers that have themselves been cited), including 31 papers in Management Science and Operations Research, 30 papers in Control and Systems Engineering and 30 papers in Industrial and Manufacturing Engineering. Recurrent topics in Ronald D. Armstrong's work include Optimization and Mathematical Programming (28 papers), Optimization and Packing Problems (19 papers) and Advanced Optimization Algorithms Research (16 papers). Ronald D. Armstrong is often cited by papers focused on Optimization and Mathematical Programming (28 papers), Optimization and Packing Problems (19 papers) and Advanced Optimization Algorithms Research (16 papers). Ronald D. Armstrong collaborates with scholars based in United States, Netherlands and Canada. Ronald D. Armstrong's co-authors include Dmitry I. Belov, E. L. Frome, David S. Kung, Lei Lei, Douglas H. Jones, Wade D. Cook, Prabhakant Sinha, Timothy D. Fry, John H. Blackstone and Min Shi and has published in prestigious journals such as Journal of the American Statistical Association, Technometrics and Management Science.

In The Last Decade

Ronald D. Armstrong

94 papers receiving 1.2k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Ronald D. Armstrong United States 21 494 278 260 249 210 98 1.4k
Colm Art O’Cinneide United States 15 624 1.3× 336 1.2× 94 0.4× 146 0.6× 265 1.3× 41 1.6k
Behnam Malakooti United States 25 709 1.4× 405 1.5× 268 1.0× 296 1.2× 49 0.2× 97 1.6k
Ami Arbel Israel 15 97 0.2× 488 1.8× 474 1.8× 83 0.3× 113 0.5× 50 1.2k
Tomomi Matsui Japan 17 234 0.5× 454 1.6× 155 0.6× 124 0.5× 65 0.3× 82 1.1k
Bernd Heidergott Netherlands 18 186 0.4× 330 1.2× 163 0.6× 169 0.7× 216 1.0× 95 1.2k
M. R. Rao United States 27 901 1.8× 259 0.9× 236 0.9× 306 1.2× 50 0.2× 69 2.2k
Avi Mandelbaum Israel 17 304 0.6× 565 2.0× 60 0.2× 420 1.7× 211 1.0× 30 1.8k
Cristina Bazgan France 16 289 0.6× 308 1.1× 180 0.7× 251 1.0× 38 0.2× 61 1.1k
S. S. Lavenberg United States 19 244 0.5× 655 2.4× 81 0.3× 989 4.0× 169 0.8× 37 2.2k
R. G. Jeroslow United States 22 455 0.9× 242 0.9× 424 1.6× 349 1.4× 36 0.2× 55 1.7k

Countries citing papers authored by Ronald D. Armstrong

Since Specialization
Citations

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

Fields of papers citing papers by Ronald D. Armstrong

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Ronald D. Armstrong. 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 Ronald D. Armstrong. The network helps show where Ronald D. Armstrong may publish in the future.

Co-authorship network of co-authors of Ronald D. Armstrong

This figure shows the co-authorship network connecting the top 25 collaborators of Ronald D. Armstrong. A scholar is included among the top collaborators of Ronald D. Armstrong 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 Ronald D. Armstrong. Ronald D. Armstrong 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.
Armstrong, Ronald D., et al.. (2020). On the Performance of the lZ Person-Fit Statistic. Practical assessment, research & evaluation. 12(1). 16. 6 indexed citations
2.
Armstrong, Ronald D., et al.. (2011). CUSUM Hypothesis Tests and Alternative Response Probabilities for Finite Poisson Trials. Communications in Statistics - Simulation and Computation. 40(7). 1057–1073. 3 indexed citations
3.
4.
Armstrong, Ronald D., et al.. (1998). Strongly polynomial dual simplex methods for the maximum flow problem. Mathematical Programming. 80(1). 17–33. 3 indexed citations
5.
Armstrong, Ronald D., et al.. (1996). A greedy algorithm to determine the number of transporters in a cyclic electroplating process. IIE Transactions. 28(5). 347–355. 18 indexed citations
6.
Armstrong, Ronald D., et al.. (1994). Robust estimation procedures and visual display techniques for a two-way classification model. Quality & Quantity. 28(3). 283–304. 1 indexed citations
7.
Lei, Lei, et al.. (1993). Minimizing the fleet size with dependent time-window and single-track constraints. Operations Research Letters. 14(2). 91–98. 34 indexed citations
8.
Armstrong, Ronald D. & Douglas H. Jones. (1992). Polynomial Algorithms for Item Matching. Applied Psychological Measurement. 16(4). 365–371. 12 indexed citations
9.
Fry, Timothy D., Ronald D. Armstrong, & L. Drew Rosen. (1990). Single machine scheduling to minimize mean absolute lateness: A heuristic solution. Computers & Operations Research. 17(1). 105–112. 17 indexed citations
10.
Armstrong, Ronald D., et al.. (1979). A Dual Method for Discrete Chebychev Curve Fitting with Linear Restrictions on the Parameters.. Defense Technical Information Center (DTIC). 1 indexed citations
11.
Armstrong, Ronald D. & E. L. Frome. (1979). Least‐absolute‐value estimators for one‐way and two‐way tables. Naval Research Logistics Quarterly. 26(1). 79–96. 11 indexed citations
12.
Armstrong, Ronald D. & David S. Kung. (1979). Algorithm AS 135: Min-Max Estimates for a Linear Multiple Regression Problem. Journal of the Royal Statistical Society Series C (Applied Statistics). 28(1). 93–93. 13 indexed citations
13.
Armstrong, Ronald D., et al.. (1979). Two linear programming algorithms for the linear discrete 𝐿₁ norm problem. Mathematics of Computation. 33(145). 289–300. 3 indexed citations
14.
Armstrong, Ronald D., et al.. (1977). Obtaining least absolute value estimates for a two-way classification model. Communications in Statistics - Simulation and Computation. 6(4). 365–381. 8 indexed citations
15.
Armstrong, Ronald D. & Edward L. Frome. (1977). A special purpose linear programming algorithm for obtaining least absolute value estimators in a linear model with dummy variables. Communications in Statistics - Simulation and Computation. 6(4). 383–398. 8 indexed citations
16.
Armstrong, Ronald D., Wade D. Cook, & Grant Martín. (1977). Decomposition and Sensitivity Analysis in an Aircraft Tasking Problem. INFOR Information Systems and Operational Research. 15(3). 332–343. 2 indexed citations
17.
Armstrong, Ronald D.. (1977). A primal simplex algorithm to solve a rectilinear distance facility location problem. Naval Research Logistics Quarterly. 24(4). 619–625. 3 indexed citations
18.
Armstrong, Ronald D. & E. L. Frome. (1976). A Branch-and-Bound Solution of a Restricted Least Squares Problem. Technometrics. 18(4). 447–450. 17 indexed citations
19.
Armstrong, Ronald D. & Prabhakant Sinha. (1974). Improved penalty calculations for a mixed integer branch-and-bound algorithm. Mathematical Programming. 6(1). 212–223. 14 indexed citations
20.
Armstrong, Ronald D. & Prabhakant Sinha. (1974). Application of Quasi-Integer Programming to the Solution of Menu Planning Problems with Variable Portion Size. Management Science. 21(4). 474–482. 20 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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