W. J. Padgett

4.4k citations
125 papers · 3.2k indexed · h-index 26

Impact in

    • Statistical Distribution Estimation and Applications
    • Statistical Methods and Inference
    • Statistical Methods and Bayesian Inference
    • Advanced Statistical Methods and Models
    • Probabilistic and Robust Engineering Design
    • Advanced Statistical Process Monitoring

Papers in

W. J. Padgett

120 papers receiving 3.0k citations

Peers

W. J. Padgett
Comparison fields: 5 of 105
  • Statistics and Probability 2.1k
  • Statistics, Probability and Uncertainty 1.5k
  • Safety, Risk, Reliability and Quality 1.0k
  • Software 176
  • Management Science and Operations Research 262
Replace Asit P. Basu with:
Asit P. Basu United States
C. D. Lai New Zealand
Chin‐Diew Lai New Zealand
Rameshwar D. Gupta Canada
Mahesh D. Pandey Canada
Benjamin Epstein United States
Ahmed Z. Afify Egypt
Harry F. Martz United States
Maurice C. Bryson United States
Sajid Ali Pakistan
W. J. Padgett relative to Asit P. Basu United States Asit P. Basu's profile →
Citations per field
00.5×1.5×
Asit P. Basu · 1×
Citations per year

Countries citing papers authored by W. J. Padgett

Since Specialization
Citations

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

Fields of papers citing papers by W. J. Padgett

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown
#Work
1 200614
2 200350
3 199938
4 19967
5 199429
6 19931
7 199210
8 19882
9 19875
10 198615
11 19824
12 197915
13 19785
14 19773
15 19756
16 19731
17 197317
18 19733
19 19726
20 19723

About W. J. Padgett

W. J. Padgett is a scholar working on Statistics and Probability, Statistics, Probability and Uncertainty, Applied Mathematics, Mathematical Physics and Modeling and Simulation, having authored 125 papers that have together received 3.2k indexed citations. Recurring topics across this work include Statistical Distribution Estimation and Applications (45 papers), Probabilistic and Robust Engineering Design (35 papers), Statistical Methods and Inference (27 papers), Advanced Statistical Methods and Models (17 papers), Fatigue and fracture mechanics (17 papers), Nonlinear Differential Equations Analysis (16 papers), Reliability and Maintenance Optimization (11 papers) and Stochastic processes and financial applications (11 papers). The work is most often cited by research in Statistics and Probability (2.1k citations), Statistics, Probability and Uncertainty (1.5k citations), Safety, Risk, Reliability and Quality (1.0k citations), Software (176 citations) and Management Science and Operations Research (262 citations). W. J. Padgett has collaborated with scholars based in United States, Czechia and United Kingdom. Frequent co-authors include Chanseok Park, Michele Nichols, James G. Surles, S. D. Durham, Chris P. Tsokos, Sneh Gulati, John D. Spurrier, William J. Owen, J. S. Marron and Lee‐Jen Wei. Their work appears in journals such as IEEE Transactions on Reliability, Journal of Statistical Planning and Inference, Journal of Statistical Computation and Simulation, Mathematical Biosciences and Lifetime Data Analysis.

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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