A. J. Lee

434 total citations
12 papers, 291 citations indexed

About

A. J. Lee is a scholar working on Statistics and Probability, Finance and Artificial Intelligence. According to data from OpenAlex, A. J. Lee has authored 12 papers receiving a total of 291 indexed citations (citations by other indexed papers that have themselves been cited), including 7 papers in Statistics and Probability, 3 papers in Finance and 3 papers in Artificial Intelligence. Recurrent topics in A. J. Lee's work include Advanced Statistical Methods and Models (4 papers), Financial Risk and Volatility Modeling (3 papers) and Statistical Methods and Bayesian Inference (2 papers). A. J. Lee is often cited by papers focused on Advanced Statistical Methods and Models (4 papers), Financial Risk and Volatility Modeling (3 papers) and Statistical Methods and Bayesian Inference (2 papers). A. J. Lee collaborates with scholars based in New Zealand, Australia and United Kingdom. A. J. Lee's co-authors include N. I. Fisher, A. J. Scott, C. Wild, Peter J. Diggle, Alistair B. Roberts and A.J. Scott and has published in prestigious journals such as Biometrika, Statistics in Medicine and Journal of the Royal Statistical Society Series B (Statistical Methodology).

In The Last Decade

A. J. Lee

12 papers receiving 275 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
A. J. Lee New Zealand	10	131	68	40	30	25	12	291
Shogo Kato Japan	11	109 0.8×	126 1.9×	38 0.9×	13 0.4×	32 1.3×	28	263
Ya‐Mei Chang Taiwan	9	65 0.5×	30 0.4×	31 0.8×	7 0.2×	29 1.2×	19	336
Bert van Es Netherlands	12	225 1.7×	105 1.5×	9 0.2×	7 0.2×	77 3.1×	23	341
Eduardo Gutiérrez‐Peña Mexico	12	182 1.4×	177 2.6×	26 0.7×	26 0.9×	9 0.4×	40	374
Tetsuhisa Miwa Japan	9	144 1.1×	47 0.7×	103 2.6×	23 0.8×	8 0.3×	23	382
Larry M. Pearson United States	7	188 1.4×	40 0.6×	51 1.3×	13 0.4×	14 0.6×	14	288
Hans Nyquist Sweden	12	165 1.3×	29 0.4×	10 0.3×	7 0.2×	16 0.6×	31	365
Gerald L. Sievers United States	12	325 2.5×	40 0.6×	16 0.4×	6 0.2×	44 1.8×	22	458
Marinho G. Andrade Brazil	9	110 0.8×	65 1.0×	26 0.7×	7 0.2×	22 0.9×	48	249
Naveen N. Narisetty United States	9	222 1.7×	131 1.9×	7 0.2×	14 0.5×	9 0.4×	21	393

Countries citing papers authored by A. J. Lee

Since Specialization

Citations

This map shows the geographic impact of A. J. Lee'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 A. J. Lee with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites A. J. Lee more than expected).

Fields of papers citing papers by A. J. Lee

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by A. J. Lee. 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 A. J. Lee. The network helps show where A. J. Lee may publish in the future.

Co-authorship network of co-authors of A. J. Lee

This figure shows the co-authorship network connecting the top 25 collaborators of A. J. Lee. A scholar is included among the top collaborators of A. J. Lee 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 A. J. Lee. A. J. Lee 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:

12 of 12 papers shown

1.

Fisher, N. I., et al.. (2012). A Scientific Approach to Monitoring Public Perceptions of Scientific Issues. International Journal of Science Education Part B. 3(1). 25–51. 7 indexed citations

2.

Lee, A. J., A. J. Scott, & C. Wild. (2010). Efficient estimation in multi-phase case-control studies. Biometrika. 97(2). 361–374. 13 indexed citations

3.

Lee, A. J., A.J. Scott, & C. Wild. (2006). Fitting binary regression models with case-augmented samples. Biometrika. 93(2). 385–397. 11 indexed citations

4.

Lee, A. J., et al.. (1997). RE-USING DATA FROM CASE-CONTROL STUDIES. Statistics in Medicine. 16(12). 1377–1389. 34 indexed citations

5.

Lee, A. J.. (1997). Some simple methods for generating correlated categorical variates. Computational Statistics & Data Analysis. 26(2). 133–148. 15 indexed citations

6.

Fisher, N. I. & A. J. Lee. (1994). Time Series Analysis of Circular Data. Journal of the Royal Statistical Society Series B (Statistical Methodology). 56(2). 327–339. 51 indexed citations

7.

Lee, A. J.. (1993). Generating Random Binary Deviates Having Fixed Marginal Distributions and Specified Degrees of Association. The American Statistician. 47(3). 209–215. 74 indexed citations

8.

Fisher, N. I. & A. J. Lee. (1986). Correlation coefficients for random variables on a unit sphere or hypersphere. Biometrika. 73(1). 159–164. 32 indexed citations

9.

Diggle, Peter J., N. I. Fisher, & A. J. Lee. (1985). A COMPARISON OF TESTS OF UNIFORMITY FOR SPHERICAL DATA. Australian Journal of Statistics. 27(1). 53–59. 14 indexed citations

10.

Roberts, Alistair B., et al.. (1985). Ultrasonic estimation of fetal weight: A new predictive model incorporating femur length for the low-birth-weight fetus. Journal of Clinical Ultrasound. 13(8). 555–559. 15 indexed citations

11.

Lee, A. J., et al.. (1982). Nonparametric measures of angular-angular association. Biometrika. 69(2). 315–321. 24 indexed citations

12.

Fisher, N. I. & A. J. Lee. (1981). Nonparametric Measures of Angular-Linear Association. Biometrika. 68(3). 629–629. 1 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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