Edward G. Schilling

2.1k citations
24 papers · 1.3k indexed · 1 hit paper · h-index 11

Edward G. Schilling

22 papers receiving 1.1k citations

Hit Papers

Juran's quality handbook6431999202620082017200400600

Peers

Edward G. Schilling
Comparison fields: 5 of 141
  • Statistics, Probability and Uncertainty 574
  • Statistics and Probability 279
  • Management Information Systems 271
  • Management Science and Operations Research 286
  • Medical Laboratory Technology 34
Replace Kenneth E. Case with:
Kenneth E. Case United States
Robert Plante United States
Søren Bisgaard United States
Trevor A Spedding United Kingdom
H. Brian Hwarng Singapore
A. Blanton Godfrey United States
W. Grant Ireson United States
Jeroen de Mast Netherlands
J. Bert Keats United States
Roger W. Hoerl United States
Edward G. Schilling relative to Kenneth E. Case United States Kenneth E. Case's profile →
Citations per field
00.5×3.1×
Kenneth E. Case · 1×
Citations per year

Countries citing papers authored by Edward G. Schilling

Since Specialization
Citations

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

Fields of papers citing papers by Edward G. Schilling

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Edward G. Schilling. 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 Edward G. Schilling. The network helps show where Edward G. Schilling may publish in the future.

Co-authorship network

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

All Works

20 of 20 papers shown
#Work
1 201750
2 2009132
3 200514
4 20021
5
Juran's quality handbookbreakdown →
1999643
6 199128
7 19906
8 19893
9 19852
10 19841
11 1984204
12 19822
13 19818
14 197815
15 19761
16 1976122
17 19740
18
A Systematic Approach to the Analysis of Means, Part II. Analysis of Contrasts, Part III. Analysis of Non-Normal Data
19735
19 197329
20 19732

About Edward G. Schilling

Edward G. Schilling is a scholar working on Statistics, Probability and Uncertainty, Statistics and Probability and Industrial and Manufacturing Engineering, having authored 24 papers that have together received 1.3k indexed citations. Recurring topics across this work include Advanced Statistical Process Monitoring (11 papers), Advanced Statistical Methods and Models (5 papers), Scientific Measurement and Uncertainty Evaluation (3 papers), Quality and Management Systems (2 papers), Industrial Vision Systems and Defect Detection (2 papers), Manufacturing Process and Optimization (1 paper), Risk and Safety Analysis (1 paper) and Fault Detection and Control Systems (1 paper). The work is most often cited by research in Statistics, Probability and Uncertainty (574 citations), Statistics and Probability (279 citations) and Management Information Systems (271 citations). Edward G. Schilling has collaborated with scholars based in United States. Frequent co-authors include A. Blanton Godfrey, Joseph M. Juran, Dean V. Neubauer, Peter R. Nelson, Philip H. Ramsey, John H. Sheesley and Robert L. Perry. Their work appears in journals such as Journal of the American Statistical Association, Technometrics and Journal of Quality Technology.

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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