J. A. John

79 papers receiving 1.8k citations

Peers

J. A. John
Comparison fields: 5 of 157
  • Management Science and Operations Research 926
  • Statistics and Probability 465
  • Computational Theory and Mathematics 333
  • Statistics, Probability and Uncertainty 147
  • Industrial and Manufacturing Engineering 135
Replace Walter T. Fédérer with:
Walter T. Fédérer United States
S. C. Pearce United Kingdom
R. A. Bailey United Kingdom
Robert W. Mee United States
Cuthbert Daniel United States
D. A. Preece United Kingdom
Henry W. Altland United States
Paul I. Feder United States
Alan J. Miller United States
John I. Marden United States
J. A. John relative to Walter T. Fédérer United States Walter T. Fédérer's profile →
Citations per field
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Walter T. Fédérer · 1×
Citations per year

Countries citing papers authored by J. A. John

Since Specialization
Citations

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

Fields of papers citing papers by J. A. John

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by J. A. John. 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 J. A. John. The network helps show where J. A. John may publish in the future.

Co-authors

The 23 scholars most cited alongside J. A. John, 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 J. A. John Line = papers co-authored together J. A. John links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 80 papers — load more, or switch the sort, to bring in the rest.

#Work
1 1980244
2 1995145
3 1988135
4 1995127
5 1988120
6 1977111
7 1981102
8
Cyclic Designs
198781
9 197871
10 200548
11 198744
12 197539
13 197333
14 197831
15 198229
16 198129
17 197227
18 198926
19 197626
20 199825

About J. A. John

J. A. John is a scholar working on Management Science and Operations Research, Electrical and Electronic Engineering, Statistics and Probability, Computational Theory and Mathematics and Industrial and Manufacturing Engineering, having authored 80 papers that have together received 2.0k indexed citations. Recurring topics across this work include Optimal Experimental Design Methods (56 papers), graph theory and CDMA systems (20 papers), Advanced Multi-Objective Optimization Algorithms (15 papers), Manufacturing Process and Optimization (10 papers), Statistical Methods in Clinical Trials (10 papers), Advanced Statistical Methods and Models (6 papers), Genetics and Plant Breeding (5 papers) and Advanced Statistical Process Monitoring (4 papers). The work is most often cited by research in Management Science and Operations Research (926 citations), Statistics and Probability (465 citations), Computational Theory and Mathematics (333 citations), Statistics, Probability and Uncertainty (147 citations) and Industrial and Manufacturing Engineering (135 citations). J. A. John has collaborated with scholars based in United Kingdom, New Zealand and Australia. Frequent co-authors include Norman R. Draper, Earle Williams, Emlyn Williams, Toby J. Mitchell, E. R. Williams, D. Whitaker, Angela Dean, M. H. Quenouille, F. H. C. Marriott and Timothy M. Smith. Their work appears in journals such as Journal of the Royal Statistical Society Series B (Statistical Methodology), Journal of the Royal Statistical Society Series C (Applied Statistics), Biometrika, Technometrics and Journal of Statistical Planning and Inference.

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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