William R. Schucany

3.3k total citations
109 papers, 2.4k citations indexed

About

William R. Schucany is a scholar working on Statistics and Probability, Artificial Intelligence and Management Science and Operations Research. According to data from OpenAlex, William R. Schucany has authored 109 papers receiving a total of 2.4k indexed citations (citations by other indexed papers that have themselves been cited), including 69 papers in Statistics and Probability, 22 papers in Artificial Intelligence and 16 papers in Management Science and Operations Research. Recurrent topics in William R. Schucany's work include Advanced Statistical Methods and Models (37 papers), Statistical Methods and Inference (36 papers) and Statistical Methods and Bayesian Inference (25 papers). William R. Schucany is often cited by papers focused on Advanced Statistical Methods and Models (37 papers), Statistical Methods and Inference (36 papers) and Statistical Methods and Bayesian Inference (25 papers). William R. Schucany collaborates with scholars based in United States, Australia and South Africa. William R. Schucany's co-authors include William C. Parr, John R. Michael, Lori A. Thombs, H. L. Gray, John Sommers, Wayne A. Woodward, John E. Boyer, Hon Keung Tony Ng, William H. Frawley and M. P. Wand and has published in prestigious journals such as Journal of the American Statistical Association, NeuroImage and Technometrics.

In The Last Decade

William R. Schucany

103 papers receiving 2.2k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
William R. Schucany United States 26 1.3k 507 355 341 333 109 2.4k
Ritei Shibata Japan 14 891 0.7× 504 1.0× 290 0.8× 172 0.5× 267 0.8× 32 2.1k
É. A. Nadaraya Georgia 6 1.4k 1.1× 805 1.6× 312 0.9× 238 0.7× 280 0.8× 24 3.0k
Jeffrey D. Hart United States 29 1.8k 1.4× 506 1.0× 472 1.3× 281 0.8× 288 0.9× 88 2.9k
Kesar Singh United States 21 2.0k 1.5× 534 1.1× 300 0.8× 670 2.0× 307 0.9× 48 2.5k
William E. Strawderman United States 28 1.8k 1.4× 513 1.0× 169 0.5× 480 1.4× 338 1.0× 171 2.7k
Ronald H. Randles United States 25 2.0k 1.6× 451 0.9× 215 0.6× 565 1.7× 363 1.1× 76 3.1k
Edward J. Dudewicz United States 23 1.2k 0.9× 407 0.8× 198 0.6× 558 1.6× 547 1.6× 112 2.3k
R. L. Eubank United States 28 2.4k 1.8× 695 1.4× 353 1.0× 429 1.3× 418 1.3× 84 4.1k
Stephen Portnoy United States 29 2.2k 1.7× 464 0.9× 332 0.9× 441 1.3× 289 0.9× 81 3.5k
David Cox United Kingdom 18 942 0.7× 325 0.6× 198 0.6× 319 0.9× 370 1.1× 42 2.7k

Countries citing papers authored by William R. Schucany

Since Specialization
Citations

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

Fields of papers citing papers by William R. Schucany

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by William R. Schucany. 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 William R. Schucany. The network helps show where William R. Schucany may publish in the future.

Co-authorship network of co-authors of William R. Schucany

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

All Works

20 of 20 papers shown
1.
Spence, Jeffrey S., et al.. (2012). Generalised correlated cross-validation. Journal of nonparametric statistics. 24(2). 269–282. 10 indexed citations
2.
Kozlitina, Julia, Chao Xing, Alexander Pertsemlidis, & William R. Schucany. (2010). Power of Genetic Association Studies with Fixed and Random Genotype Frequencies. Annals of Human Genetics. 74(5). 429–438. 4 indexed citations
3.
Gunst, Richard F., et al.. (2004). Improved agreement between Talairach and MNI coordinate spaces in deep brain regions. NeuroImage. 22(1). 367–371. 25 indexed citations
4.
Soliman, S.S., et al.. (2003). Adaptive detection of CPFSK signals in non-Gaussian noise. 114–119. 1 indexed citations
5.
Gerard, Patrick D. & William R. Schucany. (2002). Combining population density estimates in line transect sampling using the kernel method. Journal of Agricultural Biological and Environmental Statistics. 7(2). 233–242. 5 indexed citations
6.
Ernst, Michael D. & William R. Schucany. (1999). A Class of Permutation Tests of Bivariate Interchangeability. Journal of the American Statistical Association. 94(445). 273–284. 8 indexed citations
7.
Schucany, William R., et al.. (1998). Nonparametric kernel regression estimation near endpoints. Journal of Statistical Planning and Inference. 66(2). 289–304. 14 indexed citations
8.
Ernst, Michael D., Rudy Guerra, & William R. Schucany. (1996). Scatterplots for Unordered Pairs. The American Statistician. 50(3). 260–265. 6 indexed citations
9.
Schucany, William R.. (1995). Adaptive Bandwidth Choice for Kernel Regression. Journal of the American Statistical Association. 90(430). 535–540. 42 indexed citations
10.
Hall, Peter, Michael A. Martin, & William R. Schucany. (1989). Better nonparametric bootstrap confidence intervals for the correlation coefficient. Journal of Statistical Computation and Simulation. 33(3). 161–172. 28 indexed citations
11.
Schucany, William R., et al.. (1980). A Special Distributional Result for Bilinear Forms. Journal of the American Statistical Association. 75(370). 466–468. 1 indexed citations
12.
Walsh, William R. & William R. Schucany. (1979). The Jackknife: A Bibliography.. Defense Technical Information Center (DTIC). 2 indexed citations
13.
Michael, John R. & William R. Schucany. (1979). A New Approach to Testing Goodness of Fit for Censored Samples. Technometrics. 21(4). 435–441. 23 indexed citations
14.
Schucany, William R., et al.. (1979). Concordance among Categorized Groups of Judges. Journal of Educational Statistics. 4(2). 125–125. 2 indexed citations
15.
Schucany, William R., et al.. (1976). Efficient Estimation of P(Y < X) in the Exponential Case. Technometrics. 18(3). 359–360. 55 indexed citations
16.
Gray, H. L., et al.. (1975). On the generalized jackknife and its relation to statistical differentials. Biometrika. 62(3). 637–642. 5 indexed citations
17.
Schucany, William R., et al.. (1971). Bayesian Prediction and Population Size Assumptions. Technometrics. 13(3). 678–681. 4 indexed citations
18.
Schucany, William R., et al.. (1971). Bayesian Prediction and Population Size Assumptions. Technometrics. 13(3). 678–678. 1 indexed citations
19.
Gray, H. L. & William R. Schucany. (1969). Lower Confidence Limits for Availability Assuming Lognormally Distributed Repair Times. IEEE Transactions on Reliability. R-18(4). 157–162. 15 indexed citations
20.
Schucany, William R. & H. L. Gray. (1968). A new approximation related to the error function. Mathematics of Computation. 22(101). 201–202. 8 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.

Explore authors with similar magnitude of impact

Breakdown of academic impact, for papers by Ritei Shibata Breakdown of academic impact, for papers by É. A. Nadaraya Breakdown of academic impact, for papers by Jeffrey D. Hart Breakdown of academic impact, for papers by Kesar Singh Breakdown of academic impact, for papers by William E. Strawderman Breakdown of academic impact, for papers by Ronald H. Randles Breakdown of academic impact, for papers by Edward J. Dudewicz Breakdown of academic impact, for papers by R. L. Eubank Breakdown of academic impact, for papers by Stephen Portnoy Breakdown of academic impact, for papers by David Cox
Rankless by CCL
2026