Frank C. Kaminsky

574 citations
31 papers · 459 indexed · h-index 12
Topics
Advanced Statistical Process Monitoring (5 papers)Wind Energy Research and Development (5 papers)Clinical Laboratory Practices and Quality Control (5 papers)
Partner nations
United StatesIreland

In The Last Decade

Frank C. Kaminsky

31 papers receiving 413 citations

Peers

Frank C. Kaminsky
Comparison fields: 5 of 82
  • Statistics, Probability and Uncertainty 240
  • Statistics and Probability 113
  • Aerospace Engineering 70
  • Management Information Systems 68
  • Management Science and Operations Research 62
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Derek Bissell United Kingdom
Ulku Oktem United States
A. Vaghefi Iran
P.F. Frutuoso e Melo Brazil
Mohamed Abdel‐Hameed Kuwait
Cai Wen Zhang China
A.Z. Keller United Kingdom
Arne Johannssen Germany
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Citations per field
00.5×10×15×20×23.3×
Derek Bissell · 1×
Citations per year

Countries citing papers authored by Frank C. Kaminsky

Since Specialization
Citations

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

Fields of papers citing papers by Frank C. Kaminsky

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Frank C. Kaminsky. 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 Frank C. Kaminsky. The network helps show where Frank C. Kaminsky may publish in the future.

Co-authorship network of co-authors of Frank C. Kaminsky

This figure shows the co-authorship network connecting the top 25 collaborators of Frank C. Kaminsky. A scholar is included among the top collaborators of Frank C. Kaminsky 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 Frank C. Kaminsky. Frank C. Kaminsky 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 1
2 36
3 1
4 9
5 6
6 19
7 14
8 7
9 7
10
Another View on How to Measure Health Care Quality.
14
11 21
12
Rescreening policies in cervical cytology and their effect on detecting the truly positive patient.
9
13
Statistical analysis of data in cervical cytology from the viewpoint of total quality management.
3
14 13
15 152
16 12
17 2
18 1
19 14
20 5

About Frank C. Kaminsky

Frank C. Kaminsky is a scholar working on Statistics, Probability and Uncertainty, Statistics and Probability and Industrial and Manufacturing Engineering, having authored 31 papers that have together received 459 indexed citations. Recurring topics across this work include Advanced Statistical Process Monitoring (5 papers), Wind Energy Research and Development (5 papers) and Clinical Laboratory Practices and Quality Control (5 papers). The work is most often cited by research in Statistics, Probability and Uncertainty (240 citations), Medical Laboratory Technology (31 citations) and Statistics and Probability (113 citations). Frank C. Kaminsky has collaborated with scholars based in United States and Ireland. Frequent co-authors include James C. Benneyan, Robert D. Davis, John Maleyeff, Arthur P. Hurter, James F. Manwell, Ray Burke, Frank McGee and Eric R. Ziegel. Their work appears in journals such as Technometrics, Solar Energy and Operations Research.

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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