Pi‐Erh Lin
Impact in
- Statistics and Probability top 1%
- Statistical Methods and Inference
- Advanced Statistical Methods and Models
- Statistical Methods and Bayesian Inference
- Statistical Distribution Estimation and Applications
- Statistical Methods in Clinical Trials
Papers in
-
- Statistical Methods and Inference 11
- Advanced Statistical Methods and Models 10
- Statistical Distribution Estimation and Applications 6
- Statistical Methods and Bayesian Inference 4
-
- Bayesian Methods and Mixture Models 7
- Co-authors
- Ibrahim A. Ahmad (6 shared papers)Kuang‐Fu Cheng (2 shared papers)Myles Hollander (1 shared paper)Gordon Pledger (1 shared paper)
- Journals
- Journal of the American Statistical Association (6 papers)The Annals of Statistics (4 papers)Annals of the Institute of Statistical Mathematics (3 papers)Biometrika (2 papers)Journal of Statistical Planning and Inference (1 paper)
- Partner nations
- United StatesCanada
In The Last Decade
Pi‐Erh Lin
23 papers receiving 456 citations
Peers
Comparison fields: 5 of 78
- Statistics and Probability 371
- Statistics, Probability and Uncertainty 62
- Management Science and Operations Research 106
- Finance 52
- Artificial Intelligence 124
Countries citing papers authored by Pi‐Erh Lin
This map shows the geographic impact of Pi‐Erh Lin'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 Pi‐Erh Lin with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Pi‐Erh Lin more than expected).
Fields of papers citing papers by Pi‐Erh Lin
This network shows the impact of papers produced by Pi‐Erh Lin. 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 Pi‐Erh Lin. The network helps show where Pi‐Erh Lin may publish in the future.
Co-authors
The 4 scholars most cited alongside Pi‐Erh Lin, 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 25 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 1976 | 120 | |
| 2 | 1981 | 69 | |
| 3 | 1974 | 43 | |
| 4 | 1973 | 41 | |
| 5 | 1974 | 39 | |
| 6 | 1976 | 36 | |
| 7 | 1984 | 22 | |
| 8 | 1973 | 21 | |
| 9 | 1975 | 20 | |
| 10 | 1972 | 16 | |
| 11 | 1971 | 13 | |
| 12 | 1975 | 12 | |
| 13 | 1977 | 12 | |
| 14 | 1981 | 11 | |
| 15 | 1987 | 9 | |
| 16 | 1980 | 9 | |
| 17 | 1972 | 8 | |
| 18 | 1980 | 5 | |
| 19 | 1971 | 3 | |
| 20 | 1975 | 2 |
About Pi‐Erh Lin
Pi‐Erh Lin is a scholar working on Statistics and Probability, Artificial Intelligence, Applied Mathematics, Management Science and Operations Research and Numerical Analysis, having authored 25 papers that have together received 516 indexed citations. Recurring topics across this work include Statistical Methods and Inference (11 papers), Advanced Statistical Methods and Models (10 papers), Bayesian Methods and Mixture Models (7 papers), Statistical Distribution Estimation and Applications (6 papers), Statistical Methods and Bayesian Inference (4 papers), Mathematical Inequalities and Applications (3 papers), Optimal Experimental Design Methods (3 papers) and Advanced Statistical Process Monitoring (2 papers). The work is most often cited by research in Statistics and Probability (371 citations), Statistics, Probability and Uncertainty (62 citations), Management Science and Operations Research (106 citations), Finance (52 citations) and Artificial Intelligence (124 citations). Pi‐Erh Lin has collaborated with scholars based in United States and Canada. Frequent co-authors include Ibrahim A. Ahmad, Kuang‐Fu Cheng, Myles Hollander and Gordon Pledger. Their work appears in journals such as Journal of the American Statistical Association, The Annals of Statistics, Annals of the Institute of Statistical Mathematics, Biometrika and Journal of Statistical Planning and Inference.
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.