Andrew L. Rukhin
- Statistics and Probability top 0.5%
- Advanced Statistical Methods and Models 46
- Statistical Methods and Inference 44
- Statistical Methods and Bayesian Inference 21
- Statistical Distribution Estimation and Applications 17
- Statistical Methods in Clinical Trials 9
-
- Advanced Statistical Process Monitoring 26
- Scientific Measurement and Uncertainty Evaluation 12
- Artificial Intelligence top 2%
- Bayesian Methods and Mixture Models 25
- Co-authors
- Martin A. TannerMárk VangelBradley P. CarlinThomas A. LouisHolger DetteW. J. StuddenStefan D. LeighMiles E. Smid
- Journals
- Journal of Statistical Planning and Inference (19 papers)Journal of the American Statistical Association (14 papers)Technometrics (10 papers)
- Partner nations
- United StatesEgyptGermany
In The Last Decade
Andrew L. Rukhin
144 papers receiving 2.4k citations
Hit Papers
Peers
Comparison fields: 5 of 175
- Statistics and Probability 889
- Statistics, Probability and Uncertainty 410
- Artificial Intelligence 617
- Computer Vision and Pattern Recognition 387
- Management Science and Operations Research 219
Countries citing papers authored by Andrew L. Rukhin
This map shows the geographic impact of Andrew L. Rukhin'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 Andrew L. Rukhin with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Andrew L. Rukhin more than expected).
Fields of papers citing papers by Andrew L. Rukhin
This network shows the impact of papers produced by Andrew L. Rukhin. 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 Andrew L. Rukhin. The network helps show where Andrew L. Rukhin may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Andrew L. Rukhin, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2023 | 1 | |
| 2 | 2019 | 22 | |
| 3 | 2014 | 0 | |
| 4 | 2014 | 1 | |
| 5 | Evaluation of Self Diffusion Data Using Weighted Means Statistics | 2011 | 1 |
| 6 | Confidence Regions for Parameters of Linear Models | NIST | 2010 | 0 |
| 7 | Statistics in Metrology: International Key Comparisons and Interlaboratory Studies | 2007 | 1 |
| 8 | Association Characteristics in Spatial Statistics | 2006 | 3 |
| 9 | 2006 | 12 | |
| 10 | 1999 | 106 | |
| 11 | 1997 | 183 | |
| 12 | A Lower-Bound For Error-Probility In Change-Point Estimation | 1995 | 3 |
| 13 | 1995 | 1 | |
| 14 | 1994 | 0 | |
| 15 | 1993 | 3 | |
| 16 | 1993 | 12 | |
| 17 | 1992 | 4 | |
| 18 | 1991 | 1 | |
| 19 | 1986 | 20 | |
| 20 | 1978 | 0 |
About Andrew L. Rukhin
Andrew L. Rukhin is a scholar working on Statistics and Probability, Statistics, Probability and Uncertainty, Artificial Intelligence, Applied Mathematics and Management Science and Operations Research, having authored 160 papers that have together received 2.6k indexed citations. Recurring topics across this work include Advanced Statistical Methods and Models (46 papers), Statistical Methods and Inference (44 papers), Advanced Statistical Process Monitoring (26 papers), Bayesian Methods and Mixture Models (25 papers), Statistical Methods and Bayesian Inference (21 papers), Statistical Distribution Estimation and Applications (17 papers), Scientific Measurement and Uncertainty Evaluation (12 papers) and Statistical Methods in Clinical Trials (9 papers). The work is most often cited by research in Statistics and Probability (889 citations), Statistics, Probability and Uncertainty (410 citations), Artificial Intelligence (617 citations), Computer Vision and Pattern Recognition (387 citations) and Management Science and Operations Research (219 citations). Andrew L. Rukhin has collaborated with scholars based in United States, Egypt and Germany. Frequent co-authors include Martin A. Tanner, Márk Vangel, Bradley P. Carlin, Thomas A. Louis, Holger Dette, W. J. Studden, Stefan D. Leigh, Miles E. Smid, James F. Dray and Mark Levenson. Their work appears in journals such as Journal of Statistical Planning and Inference, Journal of the American Statistical Association, Technometrics, Metrologia and The Annals of Statistics.
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.