George J. Resnikoff
- Statistics and Probability top 2%
- Statistics, Probability and Uncertainty top 1%
- Management Science and Operations Research top 10%
- Artificial Intelligence
- Safety, Risk, Reliability and Quality top 10%
- Topics
- Advanced Statistical Process Monitoring (3 papers)Advanced Statistical Methods and Models (2 papers)Industrial Vision Systems and Defect Detection (2 papers)
- Cited by
- Statistics, Probability and UncertaintyStatistics and ProbabilityManagement Science and Operations Research
- Partner nations
- United States
In The Last Decade
George J. Resnikoff
12 papers receiving 294 citations
Peers
Comparison fields: 5 of 61
- Statistics and Probability 185
- Statistics, Probability and Uncertainty 177
- Management Science and Operations Research 72
- Artificial Intelligence 34
- Safety, Risk, Reliability and Quality 30
Countries citing papers authored by George J. Resnikoff
This map shows the geographic impact of George J. Resnikoff'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 George J. Resnikoff with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites George J. Resnikoff more than expected).
Fields of papers citing papers by George J. Resnikoff
This network shows the impact of papers produced by George J. Resnikoff. 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 George J. Resnikoff. The network helps show where George J. Resnikoff may publish in the future.
Co-authorship network of co-authors of George J. Resnikoff
This figure shows the co-authorship network connecting the top 25 collaborators of George J. Resnikoff. A scholar is included among the top collaborators of George J. Resnikoff 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 George J. Resnikoff. George J. Resnikoff is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 15 | |
| 2 | 9 | |
| 3 | 1 | |
| 4 | 1 | |
| 5 | 47 | |
| 6 | 2 | |
| 7 | 50 | |
| 8 | 10 | |
| 9 | 142 | |
| 10 | 42 | |
| 11 | 1 | |
| 12 | A New Two-Sided Acceptance Region for Sampling by Variables | 8 |
About George J. Resnikoff
George J. Resnikoff is a scholar working on Statistics, Probability and Uncertainty, Statistics and Probability and Industrial and Manufacturing Engineering, having authored 12 papers that have together received 328 indexed citations. Recurring topics across this work include Advanced Statistical Process Monitoring (3 papers), Advanced Statistical Methods and Models (2 papers) and Industrial Vision Systems and Defect Detection (2 papers). The work is most often cited by research in Statistics, Probability and Uncertainty (177 citations), Statistics and Probability (185 citations) and Management Science and Operations Research (72 citations). George J. Resnikoff has collaborated with scholars based in United States. Frequent co-authors include Gerald J. Lieberman, G. J. Lieberman, B. L. Welch, Frank E. Grubbs, Susie Khamis and K. D. Tocher. Their work appears in journals such as Journal of the American Statistical Association, Econometrica and Biometrika.
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.