James Simpson

125 papers receiving 2.3k citations

James Simpson's Hit Papers

Taguchi Techniques for Quality Engineering 1996 · 551 citations
5510+10+20Years since publication100200300400500

Peers

James Simpson
Comparison fields: 5 of 179
  • Statistics, Probability and Uncertainty 467
  • Classics 233
  • Environmental Engineering 558
  • Statistics and Probability 293
  • Health, Toxicology and Mutagenesis 422
Replace Derek Clements‐Croome with:
Derek Clements‐Croome United Kingdom
Tao Hu China
Luis A. Escobar United States
Guozhong Zheng China
Yi Zhang China
S. Ranji Ranjithan United States
Di Zhang China
Alan O’Connor Ireland
Timothy M. Smith United States
William C. Parr Australia
James Simpson relative to Derek Clements‐Croome United Kingdom Derek Clements‐Croome's profile →
Citations per field
00.5×6.6×
Derek Clements‐Croome · 1×
Citations per year

Countries citing papers authored by James Simpson

Since Specialization
Citations

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

Fields of papers citing papers by James Simpson

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 149 papers — load more, or switch the sort, to bring in the rest.

#Work
1
Taguchi Techniques for Quality Engineering
Hit paper breakdown →
1996551
2 1998176
3 2002148
4 1998105
5 2004105
6 1999104
7 199799
8 198991
9 198986
10 200980
11 200169
12 200661
13 198961
14 200556
15 200645
16 200740
17
John Lydgate: Poetry, Culture, and Lancastrian England
200635
18 200634
19
Under the Hammer: Iconoclasm in the Anglo-American Tradition
201033
20 196631

About James Simpson

James Simpson is a scholar working on Management Science and Operations Research, Classics, Statistics, Probability and Uncertainty, Statistics and Probability and Computational Theory and Mathematics, having authored 149 papers that have together received 2.8k indexed citations. Recurring topics across this work include Optimal Experimental Design Methods (35 papers), Medieval Literature and History (29 papers), Advanced Multi-Objective Optimization Algorithms (20 papers), Advanced Statistical Process Monitoring (17 papers), Advanced Statistical Methods and Models (15 papers), Probabilistic and Robust Engineering Design (13 papers), Statistical Methods in Clinical Trials (10 papers) and Reformation and Early Modern Christianity (8 papers). The work is most often cited by research in Statistics, Probability and Uncertainty (467 citations), Classics (233 citations), Environmental Engineering (558 citations), Statistics and Probability (293 citations) and Health, Toxicology and Mutagenesis (422 citations). James Simpson has collaborated with scholars based in United States, United Kingdom and Jamaica. Frequent co-authors include E. Gregory McPherson, Joseph J. Pignatiello, Susan L. Ustin, Douglas C. Montgomery, Qingfu Xiao, Marcus B. Perry, Leo J. Fritschen, Klaus Scott, Anne Hudson and Eric Chicken. Their work appears in journals such as Quality and Reliability Engineering International, Quality Engineering, The Modern Language Review, Journal of Quality Technology and British Journal of Dermatology.

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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