W. L. Pearn

209 papers receiving 5.0k citations

Hit Papers

Distributional and Inferential Properties of Process Capa...19922026200320141992100200300400500

Peers

W. L. Pearn
Comparison fields: 5 of 121
  • Statistics, Probability and Uncertainty 3.6k
  • Management Science and Operations Research 2.0k
  • Industrial and Manufacturing Engineering 1.7k
  • Statistics and Probability 1.3k
  • Management Information Systems 759
Replace Fu‐Kwun Wang with:
Fu‐Kwun Wang Taiwan
Loon Ching Tang Singapore
Ming‐Hung Shu Taiwan
Seyed Meysam Mousavi Iran
Behnam Vahdani Iran
Reza Baradaran Kazemzadeh Iran
Aris Syntetos United Kingdom
J. Bert Keats United States
Marcello Braglia Italy
Geert‐Jan van Houtum Netherlands
W. L. Pearn relative to Fu‐Kwun Wang Taiwan Fu‐Kwun Wang's profile →
Citations per field
00.5×2.7×
Fu‐Kwun Wang · 1×
Citations per year

Countries citing papers authored by W. L. Pearn

Since Specialization
Citations

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

Fields of papers citing papers by W. L. Pearn

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by W. L. Pearn. 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 W. L. Pearn. The network helps show where W. L. Pearn may publish in the future.

Co-authorship network of co-authors of W. L. Pearn

This figure shows the co-authorship network connecting the top 25 collaborators of W. L. Pearn. A scholar is included among the top collaborators of W. L. Pearn 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 W. L. Pearn. W. L. Pearn 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 12
2 8
3 8
4 21
5 18
6 7
7 26
8 14
9 2
10 9
11 70
12 101
13
Encyclopedia And Handbook of Process Capability Indices: A Comprehensive Exposition of Quality Control Measures (Series on Quality, Reliability and Engineering Statistics)
24
14 5
15
The integrated circuit packaging scheduling problem (ICPSP): A case study
4
16 30
17 12
18 39
19 77
20 73

About W. L. Pearn

W. L. Pearn is a scholar working on Statistics, Probability and Uncertainty, Management Science and Operations Research and Statistics and Probability, having authored 211 papers that have together received 5.2k indexed citations. Recurring topics across this work include Advanced Statistical Process Monitoring (152 papers), Optimal Experimental Design Methods (77 papers) and Scientific Measurement and Uncertainty Evaluation (71 papers). The work is most often cited by research in Statistics, Probability and Uncertainty (3.6k citations), Industrial and Manufacturing Engineering (1.7k citations) and Management Science and Operations Research (2.0k citations). W. L. Pearn has collaborated with scholars based in Taiwan, United States and Japan. Frequent co-authors include Samuel Kotz, Chien‐Wei Wu, Kuen‐Suan Chen, Norman L. Johnson, Amy H.I. Lee, P. C. Lin, Ming‐Hung Shu, Gu-Hong Lin, Chia‐Huang Wu and Kuo-Hsiung Wang. Their work appears in journals such as European Journal of Operational Research, Expert Systems with Applications and Energy Conversion and Management.

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

Rankless by CCL
2026