G. Geoffrey Vining

56 papers receiving 3.2k citations

Hit Papers

Response Surface Methodology: A Retrospective and Lit...199020262002201420041990100200300400500

Peers

G. Geoffrey Vining
Comparison fields: 5 of 177
  • Management Science and Operations Research 1.9k
  • Statistics, Probability and Uncertainty 1.2k
  • Computational Theory and Mathematics 1.1k
  • Industrial and Manufacturing Engineering 660
  • Statistics and Probability 435
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Countries citing papers authored by G. Geoffrey Vining

Since Specialization
Citations

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

Fields of papers citing papers by G. Geoffrey Vining

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by G. Geoffrey Vining. 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 G. Geoffrey Vining. The network helps show where G. Geoffrey Vining may publish in the future.

Co-authorship network of co-authors of G. Geoffrey Vining

This figure shows the co-authorship network connecting the top 25 collaborators of G. Geoffrey Vining. A scholar is included among the top collaborators of G. Geoffrey Vining 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 G. Geoffrey Vining. G. Geoffrey Vining 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
#WorkIndexed citations
1 1
2 13
3
CUSUM charts for monitoring the characteristic life of censored Weibull lifetimes
1
4 45
5
Introduction to linear regression analysis : solutions manual to accompany
3
6
Reliability data analysis for life test experiments with subsampling
4
7 27
8 38
9 111
10
Introduction to Linear Regression Analysis, Solutions Manual (Wiley Series in Probability and Statistics)
247
11
Response surface designs within a split-plot structure
6
12 37
13
Response Surface Methodology: A Retrospective and Literature Surveybreakdown →
517
14 83
15 54
16 198
17 36
18 309
19 60
20 14

About G. Geoffrey Vining

G. Geoffrey Vining is a scholar working on Statistics, Probability and Uncertainty, Management Science and Operations Research and Statistics and Probability, having authored 57 papers that have together received 3.4k indexed citations. Recurring topics across this work include Optimal Experimental Design Methods (33 papers), Advanced Multi-Objective Optimization Algorithms (19 papers) and Probabilistic and Robust Engineering Design (13 papers). The work is most often cited by research in Statistics, Probability and Uncertainty (1.2k citations), Management Science and Operations Research (1.9k citations) and Computational Theory and Mathematics (1.1k citations). G. Geoffrey Vining has collaborated with scholars based in United States, United Kingdom and Peru. Frequent co-authors include Raymond H. Myers, Scott M. Kowalski, Douglas C. Montgomery, Connie M. Borror, Elizabeth A. Peck, Laura Freeman, John A. Cornell, Anne C. Shoemaker, Vijayan N. Nair and Thomas J. Lorenzen. Their work appears in journals such as Technometrics, Atmospheric Environment and Journal of the Royal Statistical Society Series C (Applied Statistics).

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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