Marc S. Meketon

913 citations
11 papers · 650 indexed · h-index 7
Topics
Advanced Optimization Algorithms Research (2 papers)Forecasting Techniques and Applications (2 papers)Advanced Statistical Methods and Models (2 papers)
Partner nations
United StatesFrance

In The Last Decade

Marc S. Meketon

11 papers receiving 587 citations

Peers

Marc S. Meketon
Comparison fields: 5 of 61
  • Management Science and Operations Research 299
  • Computational Theory and Mathematics 218
  • Numerical Analysis 198
  • Statistics and Probability 138
  • Management Information Systems 116
Replace Jerzy Kyparisis with:
Jerzy Kyparisis United States
Raghu Pasupathy United States
J. G. Ecker United States
Václav Fabian United States
Jiaqiao Hu United States
Felisa J. Vázquez-Abad Canada
Heinz Isermann Germany
Jordi Castro Spain
Wim van Ackooij France
James M. Calvin United States
Marc S. Meketon relative to Jerzy Kyparisis United States Jerzy Kyparisis's profile →
Citations per field
00.5×4.5×
Jerzy Kyparisis · 1×
Citations per year

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
#WorkIndexed citations
1 1
2 29
3 83
4 20
5 80
6 222
7 1
8 176
9 3
10 33
11 2

About Marc S. Meketon

Marc S. Meketon is a scholar working on Numerical Analysis, Management Science and Operations Research and Statistics, Probability and Uncertainty, having authored 11 papers that have together received 650 indexed citations. Recurring topics across this work include Advanced Optimization Algorithms Research (2 papers), Forecasting Techniques and Applications (2 papers) and Advanced Statistical Methods and Models (2 papers). The work is most often cited by research in Numerical Analysis (198 citations), Management Science and Operations Research (299 citations) and Statistics and Probability (138 citations). Marc S. Meketon has collaborated with scholars based in United States and France. Frequent co-authors include Bruce W. Schmeiser, Robert J. Vanderbei, Barry Freedman, David Goldsman, Lee W. Schruben, Philip Heidelberger, Junmin Liu and Donald M. Topkis. Their work appears in journals such as Management Science, INFORMS Journal on Applied Analytics and Algorithmica.

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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