Andrew A. Neath
Impact in
- Statistics and Probability top 0.5%
- Statistical Methods and Inference
- Statistical Methods and Bayesian Inference
- Advanced Statistical Methods and Models
- Statistical Methods in Clinical Trials
- Statistical Distribution Estimation and Applications
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- Probabilistic and Robust Engineering Design
- Advanced Statistical Process Monitoring
Papers in
-
- Statistical Methods and Inference 17
- Advanced Statistical Methods and Models 15
- Statistical Methods and Bayesian Inference 14
- Statistical Distribution Estimation and Applications 3
- Statistical Methods in Clinical Trials 3
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- Bayesian Methods and Mixture Models 9
- Co-authors
- Joseph E. Cavanaugh (14 shared papers)Francisco J. Samaniego (8 shared papers)Pamela Newland (1 shared paper)B.D. McVey (1 shared paper)Tom Burr (1 shared paper)Neil C. Schwertman (1 shared paper)Joseph Cavanaugh (2 shared papers)Lin Wang (1 shared paper)
- Journals
- Journal of the American Statistical Association (3 papers)Wiley Interdisciplinary Reviews Computational Statistics (3 papers)The American Statistician (2 papers)Journal of Quality Technology (1 paper)Computational Statistics & Data Analysis (1 paper)
- Partner nations
- United StatesRussia
In The Last Decade
Andrew A. Neath
29 papers receiving 2.3k citations
Andrew A. Neath's Hit Papers
Peers
Comparison fields: 5 of 205
- Statistics and Probability 553
- Statistics, Probability and Uncertainty 159
- Artificial Intelligence 394
- Management Science and Operations Research 149
- Computational Mathematics 6
Countries citing papers authored by Andrew A. Neath
This map shows the geographic impact of Andrew A. Neath'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 A. Neath with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Andrew A. Neath more than expected).
Fields of papers citing papers by Andrew A. Neath
This network shows the impact of papers produced by Andrew A. Neath. 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 A. Neath. The network helps show where Andrew A. Neath may publish in the future.
Co-authors
The 9 scholars most cited alongside Andrew A. Neath, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 32 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | Testing Statistical Hypotheses Hit paper breakdown → | 2006 | 741 |
| 2 | The Bayesian information criterion: background, derivation, and applications Hit paper breakdown → | 2011 | 648 |
| 3 | The Akaike information criterion: Background, derivation, properties, application, interpretation, and refinements Hit paper breakdown → | 2019 | 567 |
| 4 | 1999 | 92 | |
| 5 | 1999 | 75 | |
| 6 | 1997 | 58 | |
| 7 | 1997 | 43 | |
| 8 | 2012 | 26 | |
| 9 | 2006 | 21 | |
| 10 | 1997 | 20 | |
| 11 | 2005 | 11 | |
| 12 | 2008 | 10 | |
| 13 | 2017 | 9 | |
| 14 | 2003 | 8 | |
| 15 | 1996 | 8 | |
| 16 | 1996 | 8 | |
| 17 | 2010 | 5 | |
| 18 | 1996 | 4 | |
| 19 | 1992 | 4 | |
| 20 | 1989 | 3 |
About Andrew A. Neath
Andrew A. Neath is a scholar working on Statistics and Probability, Artificial Intelligence, Statistics, Probability and Uncertainty, Control and Systems Engineering and Computer Vision and Pattern Recognition, having authored 32 papers that have together received 2.4k indexed citations. Recurring topics across this work include Statistical Methods and Inference (17 papers), Advanced Statistical Methods and Models (15 papers), Statistical Methods and Bayesian Inference (14 papers), Bayesian Methods and Mixture Models (9 papers), Advanced Statistical Process Monitoring (6 papers), Statistical Distribution Estimation and Applications (3 papers), Statistical Methods in Clinical Trials (3 papers) and Control Systems and Identification (2 papers). The work is most often cited by research in Statistics and Probability (553 citations), Statistics, Probability and Uncertainty (159 citations), Artificial Intelligence (394 citations), Management Science and Operations Research (149 citations) and Computational Mathematics (6 citations). Andrew A. Neath has collaborated with scholars based in United States and Russia. Frequent co-authors include Joseph E. Cavanaugh, Francisco J. Samaniego, Pamela Newland, B.D. McVey, Tom Burr, Neil C. Schwertman, Joseph Cavanaugh, Lin Wang and Ryan Fries. Their work appears in journals such as Journal of the American Statistical Association, Wiley Interdisciplinary Reviews Computational Statistics, The American Statistician, Journal of Quality Technology and Computational Statistics & Data Analysis.
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.