Pi‐Erh Lin

764 total citations
25 papers, 516 citations indexed

About

Pi‐Erh Lin is a scholar working on Statistics and Probability, Artificial Intelligence and Applied Mathematics. According to data from OpenAlex, Pi‐Erh Lin has authored 25 papers receiving a total of 516 indexed citations (citations by other indexed papers that have themselves been cited), including 21 papers in Statistics and Probability, 8 papers in Artificial Intelligence and 7 papers in Applied Mathematics. Recurrent topics in Pi‐Erh Lin's work include Statistical Methods and Inference (11 papers), Advanced Statistical Methods and Models (10 papers) and Bayesian Methods and Mixture Models (7 papers). Pi‐Erh Lin is often cited by papers focused on Statistical Methods and Inference (11 papers), Advanced Statistical Methods and Models (10 papers) and Bayesian Methods and Mixture Models (7 papers). Pi‐Erh Lin collaborates with scholars based in United States and Canada. Pi‐Erh Lin's co-authors include Ibrahim A. Ahmad, Kuang‐Fu Cheng, Myles Hollander and Gordon Pledger and has published in prestigious journals such as Journal of the American Statistical Association, IEEE Transactions on Information Theory and Biometrika.

In The Last Decade

Pi‐Erh Lin

23 papers receiving 456 citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name	h						Papers	Cites
Pi‐Erh Lin United States	13	371	124	106	62	60	25	516
Constance van Eeden Canada	18	594 1.6×	194 1.6×	100 0.9×	111 1.8×	46 0.8×	70	816
Volker Mammitzsch Germany	6	287 0.8×	100 0.8×	53 0.5×	48 0.8×	80 1.3×	18	421
Alvin Baranchik United States	5	316 0.9×	64 0.5×	51 0.5×	60 1.0×	34 0.6×	6	450
Jiunn Tzon Hwang United States	14	598 1.6×	182 1.5×	118 1.1×	135 2.2×	25 0.4×	33	739
Radu Theodorescu Canada	11	218 0.6×	93 0.8×	156 1.5×	46 0.7×	27 0.5×	59	511
Olaf Bunke United States	9	185 0.5×	50 0.4×	61 0.6×	45 0.7×	35 0.6×	33	400
Steel T. Huang United States	4	281 0.8×	118 1.0×	100 0.9×	72 1.2×	17 0.3×	5	523
J. Oosterhoff Netherlands	10	241 0.6×	79 0.6×	74 0.7×	47 0.8×	12 0.2×	19	386
Václav Dupač Czechia	7	180 0.5×	92 0.7×	91 0.9×	32 0.5×	26 0.4×	23	313
M. V. Johns United States	14	432 1.2×	125 1.0×	124 1.2×	195 3.1×	20 0.3×	17	672

Countries citing papers authored by Pi‐Erh Lin

Since Specialization

Citations

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

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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-authorship network of co-authors of Pi‐Erh Lin

This figure shows the co-authorship network connecting the top 25 collaborators of Pi‐Erh Lin. A scholar is included among the top collaborators of Pi‐Erh Lin 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 Pi‐Erh Lin. Pi‐Erh Lin is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

Sort: Min cites: Since: Top N: Style:

20 of 20 papers shown

1.

Lin, Pi‐Erh. (1987). Measures of Asociation between vectors. Communication in Statistics- Theory and Methods. 16(2). 321–338. 9 indexed citations

2.

Ahmad, Ibrahim A. & Pi‐Erh Lin. (1984). Fitting a multiple regression function. Journal of Statistical Planning and Inference. 9(2). 163–176. 22 indexed citations

3.

Lin, Pi‐Erh, et al.. (1983). MINIMAX ESTIMATION OF A MULTIVARIATE NORMAL MEAN UNDER A CONVEX LOSS FUNCTION. Australian Journal of Statistics. 25(3). 463–466.

4.

Lin, Pi‐Erh, et al.. (1982). Proper bayes minimax estimators for a multivariate normal mean with unknown common variance under a convex loss function. Annals of the Institute of Statistical Mathematics. 34(3). 441–456. 2 indexed citations

5.

Cheng, Kuang‐Fu & Pi‐Erh Lin. (1981). Nonparametric estimation of a regression function. Probability Theory and Related Fields. 57(2). 223–233. 69 indexed citations

6.

Cheng, Kuang‐Fu & Pi‐Erh Lin. (1981). Nonparametric Estimation of a Regression Function: Limiting Distribution2. Australian Journal of Statistics. 23(2). 186–195. 11 indexed citations

7.

Ahmad, Ibrahim A. & Pi‐Erh Lin. (1980). On the chernoff-savage theorem for dependent sequences. Annals of the Institute of Statistical Mathematics. 32(2). 211–222. 5 indexed citations

8.

Lin, Pi‐Erh, et al.. (1980). Asymptotic joint distribution of sample quantiles and sample mean with applications. Communication in Statistics- Theory and Methods. 9(1). 51–60. 9 indexed citations

9.

Ahmad, Ibrahim A. & Pi‐Erh Lin. (1977). Nonparametric Estimation of a Vector-Valued Bivariate Failure Rate. The Annals of Statistics. 5(5). 12 indexed citations

10.

Ahmad, Ibrahim A. & Pi‐Erh Lin. (1976). A nonparametric estimation of the entropy for absolutely continuous distributions (Corresp.). IEEE Transactions on Information Theory. 22(3). 372–375. 120 indexed citations

11.

Lin, Pi‐Erh, et al.. (1975). Testing for Equality of Means with Incomplete Data on One Variable: A Monte Carlo Study. Journal of the American Statistical Association. 70(349). 190–190. 2 indexed citations

12.

Lin, Pi‐Erh, et al.. (1975). Testing for Equality of Means with Incomplete Data on One Variable: A Monte Carlo Study. Journal of the American Statistical Association. 70(349). 190–193. 12 indexed citations

13.

Lin, Pi‐Erh. (1975). Rates of Convergence in Empirical Bayes Estimation Problems: Continuous Case. The Annals of Statistics. 3(1). 20 indexed citations

14.

Lin, Pi‐Erh, et al.. (1974). On Difference of Means with Incomplete Data. Biometrika. 61(2). 325–325. 2 indexed citations

15.

Lin, Pi‐Erh. (1973). Procedures for Testing the Difference of Means with Incomplete Data. Journal of the American Statistical Association. 68(343). 699–703. 21 indexed citations

16.

Lin, Pi‐Erh, et al.. (1973). Generalized Bayes Minimax Estimators of the Multivariate Normal Mean with Unknown Covariance Matrix. The Annals of Statistics. 1(1). 41 indexed citations

17.

Lin, Pi‐Erh. (1972). Some characterizations of the multivariate t distribution. Journal of Multivariate Analysis. 2(3). 339–344. 16 indexed citations

18.

Lin, Pi‐Erh. (1972). Rates of convergence in empirical bayes estimation problems: Discrete case. Annals of the Institute of Statistical Mathematics. 24(1). 319–325. 8 indexed citations

19.

Lin, Pi‐Erh. (1971). Estimation Procedures for Difference of Means with Missing Data. Journal of the American Statistical Association. 66(335). 634–634. 3 indexed citations

20.

Lin, Pi‐Erh. (1971). Estimation Procedures for Difference of Means with Missing Data. Journal of the American Statistical Association. 66(335). 634–636. 13 indexed citations

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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