Marc S. Meketon

913 total citations
11 papers, 650 citations indexed

About

Marc S. Meketon is a scholar working on Management Science and Operations Research, Computer Networks and Communications and Numerical Analysis. According to data from OpenAlex, Marc S. Meketon has authored 11 papers receiving a total of 650 indexed citations (citations by other indexed papers that have themselves been cited), including 4 papers in Management Science and Operations Research, 2 papers in Computer Networks and Communications and 2 papers in Numerical Analysis. Recurrent topics in Marc S. Meketon's work include Advanced Optimization Algorithms Research (2 papers), Forecasting Techniques and Applications (2 papers) and Advanced Statistical Methods and Models (2 papers). Marc S. Meketon is often cited by papers focused on Advanced Optimization Algorithms Research (2 papers), Forecasting Techniques and Applications (2 papers) and Advanced Statistical Methods and Models (2 papers). Marc S. Meketon collaborates with scholars based in United States and France. Marc S. Meketon's co-authors include Bruce W. Schmeiser, Robert J. Vanderbei, Barry Freedman, David Goldsman, Lee W. Schruben, Philip Heidelberger, Junmin Liu and Donald M. Topkis and has published in prestigious journals such as Management Science, INFORMS Journal on Applied Analytics and Algorithmica.

In The Last Decade

Marc S. Meketon

11 papers receiving 587 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Marc S. Meketon United States 7 299 218 198 138 116 11 650
Jerzy Kyparisis United States 16 150 0.5× 387 1.8× 268 1.4× 31 0.2× 77 0.7× 23 810
Raghu Pasupathy United States 15 452 1.5× 257 1.2× 36 0.2× 94 0.7× 49 0.4× 64 782
Wim van Ackooij France 20 536 1.8× 259 1.2× 184 0.9× 138 1.0× 20 0.2× 66 1.1k
Václav Fabian United States 12 280 0.9× 114 0.5× 48 0.2× 311 2.3× 16 0.1× 37 808
J. G. Ecker United States 16 148 0.5× 399 1.8× 410 2.1× 27 0.2× 26 0.2× 40 872
B. Bank India 7 133 0.4× 495 2.3× 336 1.7× 42 0.3× 33 0.3× 12 743
Xiaojin Zheng China 10 135 0.5× 110 0.5× 154 0.8× 24 0.2× 40 0.3× 30 473
James M. Calvin United States 12 121 0.4× 109 0.5× 58 0.3× 66 0.5× 39 0.3× 67 417
Welington de Oliveira France 16 285 1.0× 301 1.4× 343 1.7× 31 0.2× 15 0.1× 46 709
J. Guddat Germany 9 155 0.5× 560 2.6× 476 2.4× 45 0.3× 14 0.1× 26 880

Countries citing papers authored by Marc S. Meketon

Since Specialization
Citations

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

Fields of papers citing papers by Marc S. Meketon

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Marc S. Meketon. 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 Marc S. Meketon. The network helps show where Marc S. Meketon may publish in the future.

Co-authorship network of co-authors of Marc S. Meketon

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

All Works

11 of 11 papers shown
1.
Meketon, Marc S. & Bruce W. Schmeiser. (2007). Overlapping batch means: something for nothing? (1984). Winter Simulation Conference. 2. 1 indexed citations
2.
Meketon, Marc S., et al.. (2004). The Canadian Pacific Railway Transforms Operations by Using Models to Develop Its Operating Plans. INFORMS Journal on Applied Analytics. 34(1). 5–14. 29 indexed citations
3.
Goldsman, David, Marc S. Meketon, & Lee W. Schruben. (1990). Properties of Standardized Time Series Weighted Area Variance Estimators. Management Science. 36(5). 602–612. 83 indexed citations
4.
Liu, Junmin, et al.. (1989). The AT&TKorbx® System. AT&T Technical Journal. 68(3). 7–19. 20 indexed citations
5.
Meketon, Marc S.. (1987). Optimization in simulation. 58–67. 80 indexed citations
6.
Vanderbei, Robert J., Marc S. Meketon, & Barry Freedman. (1986). A modification of karmarkar's linear programming algorithm. Algorithmica. 1(1-4). 395–407. 222 indexed citations
7.
Goldsman, David & Marc S. Meketon. (1985). A comparison between standardized time series and overlapping batched means. 208–210. 1 indexed citations
8.
Meketon, Marc S. & Bruce W. Schmeiser. (1984). Overlapping batch means: something for nothing?. Winter Simulation Conference. 226–230. 176 indexed citations
9.
Meketon, Marc S. & Donald M. Topkis. (1983). Adaptive Routing for Damaged Networks. 5. 281–288. 3 indexed citations
10.
Meketon, Marc S. & Philip Heidelberger. (1982). A Renewal Theoretic Approach to Bias Reduction in Regenerative Simulations. Management Science. 28(2). 173–181. 33 indexed citations
11.
Meketon, Marc S. & Philip Heidelberger. (1981). Bias reduction in regenerative simulations. Performance Evaluation. 1(1). 95–95. 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.

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