John Disney

15 papers receiving 441 citations

Peers

John Disney
Comparison fields: 5 of 128
  • Organizational Behavior and Human Resource Management 63
  • Marketing 50
  • Statistics, Probability and Uncertainty 37
  • Management Science and Operations Research 63
  • Industrial and Manufacturing Engineering 47
Replace Wen‐Tsann Lin with:
Wen‐Tsann Lin Taiwan
Frenie Jiju Antony United Kingdom
Henk Jan Wassenaar United States
Mohammad Rezā Fathi Iran
Vesna Spasojević-Brkić Serbia
Chike F. Oduoza United Kingdom
Ade Gafar Abdullah Indonesia
Anthony Soroka United Kingdom
Rajeev Jain India
John Disney relative to Wen‐Tsann Lin Taiwan Wen‐Tsann Lin's profile →
Citations per field
00.5×1.5×
Wen‐Tsann Lin · 1×
Citations per year

Countries citing papers authored by John Disney

Since Specialization
Citations

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

Fields of papers citing papers by John Disney

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 7 scholars most cited alongside John Disney, 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 Disney Line = papers co-authored together John Disney links everyone, so they are left out of the graph.

All Works

16 of 16 papers shown
#Work
1
Taguchi methods : applications in world industry
1989185
2 1996131
3 199960
4 199142
5 199822
6 199914
7
The future role of statistics in quality engineering and management
199913
8 20128
9 20166
10 20065
11 20005
12 19965
13 20184
14 19883
15 19921
16 20040

About John Disney

John Disney is a scholar working on Management Science and Operations Research, Automotive Engineering, Strategy and Management, Transportation and Management Information Systems, having authored 16 papers that have together received 504 indexed citations. Recurring topics across this work include Urban Transport and Accessibility (3 papers), Advanced Statistical Process Monitoring (2 papers), Transportation Planning and Optimization (2 papers), Manufacturing Process and Optimization (2 papers), Additive Manufacturing and 3D Printing Technologies (2 papers), Quality and Supply Management (2 papers), Optimal Experimental Design Methods (2 papers) and Complex Systems and Decision Making (2 papers). The work is most often cited by research in Organizational Behavior and Human Resource Management (63 citations), Marketing (50 citations), Statistics, Probability and Uncertainty (37 citations), Management Science and Operations Research (63 citations) and Industrial and Manufacturing Engineering (47 citations). John Disney has collaborated with scholars based in United Kingdom. Frequent co-authors include A. Bendell, Roland Caulcutt, Joyce Liddle, Gerard McElwee, David Jennings, Peter G. Harrison and David J. Smith. Their work appears in journals such as Journal of the Royal Statistical Society Series A (Statistics in Society), Local Economy The Journal of the Local Economy Policy Unit, Total Quality Management & Business Excellence, Journal of General Management 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.

Explore authors with similar magnitude of impact