Gary E. Meek

1.7k citations
11 papers · 1.3k · 1 hit paper · h-index 5

Impact in

Papers in

Gary E. Meek

10 papers receiving 1.1k citations

Gary E. Meek's Hit Papers

Mathematical Statistics with Applications 1987 · 962 citations
9620+13+26Years since publication250500750

Peers

Gary E. Meek
Comparison fields: 5 of 185
  • Statistics and Probability 99
  • Statistics, Probability and Uncertainty 52
  • Management Science and Operations Research 83
  • Nature and Landscape Conservation 56
  • Signal Processing 49
Replace Phillip I. Good with:
Phillip I. Good United States
Richard D. De Veaux United States
C. Spearman
Daniel G. Brooks United States
Thomas E. Obremski United States
Richard R. Picard United States
Dennis D. Wackerly United States
Bradley Skarpness United States
Dan Grove United Kingdom
Pieter Bastiaan Ober Netherlands
Gary E. Meek relative to Phillip I. Good United States Phillip I. Good's profile →
Citations per field
00.5×1.5×1.8×
Phillip I. Good · 1×
Citations per year

Countries citing papers authored by Gary E. Meek

Since Specialization
Citations

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

Fields of papers citing papers by Gary E. Meek

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 7 scholars most cited alongside Gary E. Meek, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Gary E. Meek Line = papers co-authored together Gary E. Meek links everyone, so they are left out of the graph.

All Works

11 of 11 papers shown
#Work
1
Mathematical Statistics with Applications
Hit paper breakdown →
1987962
2 1987193
3 200778
4 200214
5
Statistical Analysis for Business Decisions
19835
6 19913
7
Administrative Portfolio: An Alternative Approach for Assessing the Performance of Academic Administrators.
19982
8 19912
9 20041
10 19881
11 20211

About Gary E. Meek

Gary E. Meek is a scholar working on Management Science and Operations Research, Statistics, Probability and Uncertainty, Statistics and Probability, Computer Networks and Communications and Strategy and Management, having authored 11 papers that have together received 1.3k indexed citations. Recurring topics across this work include Advanced Statistical Process Monitoring (2 papers), Advanced Statistical Methods and Models (2 papers), Psychometric Methodologies and Testing (1 paper), Quality and Management Systems (1 paper), Forecasting Techniques and Applications (1 paper), Advanced Statistical Modeling Techniques (1 paper), Statistical Methods and Inference (1 paper) and Quality and Supply Management (1 paper). The work is most often cited by research in Statistics and Probability (99 citations), Statistics, Probability and Uncertainty (52 citations), Management Science and Operations Research (83 citations), Nature and Landscape Conservation (56 citations) and Signal Processing (49 citations). Gary E. Meek has collaborated with scholars based in United States, Latvia and Türkiye. Frequent co-authors include Richard L. Scheaffer, Dennis D. Wackerly, William M. Mendenhall, Ceyhun Ozgur, Ayşegül Toker, Stephen John Turner and Martin A. Tanner. Their work appears in journals such as Technometrics, SAE technical papers on CD-ROM/SAE technical paper series, Decision Sciences Journal of Innovative Education, Quality Management Journal and Journal of Modern Applied Statistical Methods.

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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