Michael D. Conerly

445 citations
29 papers · 348 · h-index 10

Impact in

Papers in

Michael D. Conerly

28 papers receiving 322 citations

Peers

Michael D. Conerly
Comparison fields: 5 of 87
  • Statistics, Probability and Uncertainty 162
  • Statistics and Probability 173
  • Medical Laboratory Technology 18
  • Management Science and Operations Research 41
  • Orthopedics and Sports Medicine 21
Replace Harrison M. Wadsworth with:
Harrison M. Wadsworth United States
Xiaolong Pu China
D. T. Shirke India
Chao-Wen Lu Taiwan
Kenneth S. Stephens United States
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Shin‐Li Lu Taiwan
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Citations per field
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Citations per year

Countries citing papers authored by Michael D. Conerly

Since Specialization
Citations

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

Fields of papers citing papers by Michael D. Conerly

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Michael D. Conerly. 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 Michael D. Conerly. The network helps show where Michael D. Conerly may publish in the future.

Co-authors

The 23 scholars most cited alongside Michael D. Conerly, 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 Michael D. Conerly Line = papers co-authored together Michael D. Conerly links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 29 papers — load more, or switch the sort, to bring in the rest.

#Work
1 199570
2 200248
3 199929
4 198826
5 199422
6 200321
7 200318
8 198717
9 198914
10 198610
11 19879
12 19898
13 19887
14 20026
15 19876
16 19905
17 19955
18 19955
19 20114
20 20084

About Michael D. Conerly

Michael D. Conerly is a scholar working on Statistics and Probability, Statistics, Probability and Uncertainty, Management Science and Operations Research, Applied Mathematics and Genetics, having authored 29 papers that have together received 348 indexed citations. Recurring topics across this work include Advanced Statistical Methods and Models (13 papers), Advanced Statistical Process Monitoring (9 papers), Scientific Measurement and Uncertainty Evaluation (6 papers), Statistical Methods and Inference (6 papers), Optimal Experimental Design Methods (5 papers), Statistical Distribution Estimation and Applications (2 papers), Quality and Safety in Healthcare (2 papers) and Statistical and numerical algorithms (2 papers). The work is most often cited by research in Statistics, Probability and Uncertainty (162 citations), Statistics and Probability (173 citations), Medical Laboratory Technology (18 citations), Management Science and Operations Research (41 citations) and Orthopedics and Sports Medicine (21 citations). Michael D. Conerly has collaborated with scholars based in United States and Norway. Frequent co-authors include Edward R. Mansfield, William H. Woodall, Thomas M. Margavio, Benjamin M. Adams, John N. Dyer, L. Allison Jones, J. T. Webster, Phillip A. Bishop, Mitchell A. Collins and J. Michael Hardin. Their work appears in journals such as The American Statistician, Journal of Quality Technology, Journal of Statistical Computation and Simulation, Journal of the American Statistical Association and Technometrics.

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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