John R. King

352 papers receiving 8.5k citations

John R. King's Hit Papers

Machine-component group formation in group technology: review and extension 1982 · 602 citations
6020+15+30Years since publication200400600

Peers

John R. King
Comparison fields: 5 of 196
  • Modeling and Simulation 966
  • Industrial and Manufacturing Engineering 1.7k
  • Numerical Analysis 440
  • Statistical and Nonlinear Physics 652
  • Plant Science 1.9k
Replace Dirk Roose with:
Dirk Roose Belgium
Р. В. Гамкрелидзе Russia
Olivier Martin France
E. F. Mishchenko Russia
Willi Jäger Germany
V. G. Boltyanskiĭ Russia
Julio R. Banga Spain
Qing Nie United States
L. F. Shampine United States
Toby J. Mitchell United States
John R. King relative to Dirk Roose Belgium Dirk Roose's profile →
Citations per field
00.5×10×15×18.3×
Dirk Roose · 1×
Citations per year

Countries citing papers authored by John R. King

Since Specialization
Citations

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

Fields of papers citing papers by John R. King

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside John R. King, 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 John R. King Line = papers co-authored together John R. King links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 367 papers — load more, or switch the sort, to bring in the rest.

#Work
1
Machine-component grouping in production flow analysis: an approach using a rank order clustering algorithm
Hit paper breakdown →
1980677
2
Machine-component group formation in group technology: review and extension
Hit paper breakdown →
1982602
3 2012298
4 2003212
5 2013174
6 1980169
7 2003160
8 2015128
9 2016125
10 1980120
11 2012118
12 2006116
13 2003103
14 2012101
15 201393
16 200184
17 201683
18 200375
19 200673
20 199072

About John R. King

John R. King is a scholar working on Molecular Biology, Computational Mechanics, Materials Chemistry, Modeling and Simulation and Numerical Analysis, having authored 367 papers that have together received 9.0k indexed citations. Recurring topics across this work include Fluid Dynamics and Thin Films (42 papers), Advanced Mathematical Modeling in Engineering (39 papers), Solidification and crystal growth phenomena (33 papers), Differential Equations and Numerical Methods (31 papers), Plant Molecular Biology Research (28 papers), Mathematical Biology Tumor Growth (26 papers), Nonlinear Dynamics and Pattern Formation (22 papers) and Theoretical and Computational Physics (21 papers). The work is most often cited by research in Modeling and Simulation (966 citations), Industrial and Manufacturing Engineering (1.7k citations), Numerical Analysis (440 citations), Statistical and Nonlinear Physics (652 citations) and Plant Science (1.9k citations). John R. King has collaborated with scholars based in United Kingdom, United States and Germany. Frequent co-authors include Helen M. Byrne, Oliver E. Jensen, John Ward, Malcolm J. Bennett, Roman Cherniha, Leah R. Band, Victor A. Galaktionov, Greg Lemon, Jonathan D. Evans and S. Jonathan Chapman. Their work appears in journals such as European Journal of Applied Mathematics, Journal of Engineering Mathematics, Journal of Mathematical Biology, SIAM Journal on Applied Mathematics and Bulletin of Mathematical Biology.

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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