Andrew L. Rukhin

9.3k total citations · 1 hit paper
160 papers, 2.6k citations indexed

About

Andrew L. Rukhin is a scholar working on Statistics and Probability, Artificial Intelligence and Statistics, Probability and Uncertainty. According to data from OpenAlex, Andrew L. Rukhin has authored 160 papers receiving a total of 2.6k indexed citations (citations by other indexed papers that have themselves been cited), including 86 papers in Statistics and Probability, 41 papers in Artificial Intelligence and 34 papers in Statistics, Probability and Uncertainty. Recurrent topics in Andrew L. Rukhin's work include Advanced Statistical Methods and Models (46 papers), Statistical Methods and Inference (44 papers) and Advanced Statistical Process Monitoring (26 papers). Andrew L. Rukhin is often cited by papers focused on Advanced Statistical Methods and Models (46 papers), Statistical Methods and Inference (44 papers) and Advanced Statistical Process Monitoring (26 papers). Andrew L. Rukhin collaborates with scholars based in United States, Egypt and Germany. Andrew L. Rukhin's co-authors include Martin A. Tanner, Márk Vangel, Bradley P. Carlin, Thomas A. Louis, Holger Dette, W. J. Studden, Stefan D. Leigh, Elaine B. Barker, James F. Dray and Mark Levenson and has published in prestigious journals such as Journal of the American Statistical Association, Technometrics and Acta Materialia.

In The Last Decade

Andrew L. Rukhin

144 papers receiving 2.4k citations

Hit Papers

align trajectories

What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

SP 800-22 Rev. 1a. A Statistical Test Suite for Random and Pseudorandom Number Generators for Cryptographic Applications

2010 334 citations Lawrence E. Bassham, Andrew L. Rukhin et al. profile →

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Andrew L. Rukhin United States	21	889	617	410	387	219	160	2.6k
Edward J. Wegman United States	23	824 0.9×	761 1.2×	239 0.6×	528 1.4×	164 0.7×	114	2.8k
Vladimir Spokoiny Germany	25	1.3k 1.4×	679 1.1×	174 0.4×	334 0.9×	260 1.2×	107	2.7k
James E. Gentle United States	22	522 0.6×	703 1.1×	251 0.6×	343 0.9×	260 1.2×	65	3.5k
Alan Julian Izenman United States	18	757 0.9×	767 1.2×	196 0.5×	353 0.9×	248 1.1×	47	3.3k
É. A. Nadaraya Georgia	6	1.4k 1.6×	805 1.3×	238 0.6×	270 0.7×	280 1.3×	24	3.0k
Keith Knight Canada	21	2.1k 2.3×	828 1.3×	204 0.5×	359 0.9×	306 1.4×	37	4.2k
J. S. Marron United States	26	1.1k 1.3×	653 1.1×	219 0.5×	379 1.0×	124 0.6×	77	2.8k
R. L. Eubank United States	28	2.4k 2.7×	695 1.1×	429 1.0×	298 0.8×	418 1.9×	84	4.1k
Bruce Jay Collings United States	13	391 0.4×	409 0.7×	549 1.3×	432 1.1×	284 1.3×	21	2.6k
Sara van de Geer Switzerland	22	2.4k 2.7×	1.3k 2.1×	228 0.6×	488 1.3×	301 1.4×	64	4.7k

Countries citing papers authored by Andrew L. Rukhin

Since Specialization

Citations

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

Fields of papers citing papers by Andrew L. Rukhin

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Andrew L. Rukhin. 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 L. Rukhin. The network helps show where Andrew L. Rukhin may publish in the future.

Co-authorship network of co-authors of Andrew L. Rukhin

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

All Works

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20 of 20 papers shown

1.

Rukhin, Andrew L.. (2023). Orthogonal polynomials for self-dual weights. Journal of Approximation Theory. 288. 105865–105865. 1 indexed citations

2.

Moon, Dong‐Il, Andrew L. Rukhin, Ram P. Gandhiraman, et al.. (2019). Physically Unclonable Function by an All-Printed Carbon Nanotube Network. ACS Applied Electronic Materials. 1(7). 1162–1168. 22 indexed citations

3.

Rukhin, Andrew L.. (2016). Objective Bayes models for compatibility assessment and bias estimation. Journal of Statistical Planning and Inference. 182. 74–87. 1 indexed citations

4.

Rukhin, Andrew L.. (2014). Bounds on elementary symmetric functions. Linear Algebra and its Applications. 448. 329–342.

5.

Rukhin, Andrew L.. (2012). Estimating common mean and heterogeneity variance in two study case meta-analysis. Statistics & Probability Letters. 82(7). 1318–1325. 7 indexed citations

6.

Campbell, Carelyn E. & Andrew L. Rukhin. (2011). Evaluation of Self Diffusion Data Using Weighted Means Statistics. Materials Science and Engineering A. 59. 1 indexed citations

7.

Rukhin, Andrew L.. (2010). Confidence Regions for Parameters of Linear Models | NIST. Statistica Sinica.

8.

Bassham, Lawrence E., Andrew L. Rukhin, James Nechvatal, et al.. (2010). SP 800-22 Rev. 1a. A Statistical Test Suite for Random and Pseudorandom Number Generators for Cryptographic Applications. 334 indexed citations breakdown →

9.

Sedransk, Nell, Andrew L. Rukhin, & Blaza Toman. (2007). Statistics in Metrology: International Key Comparisons and Interlaboratory Studies. Technometrics. 1 indexed citations

10.

Rukhin, Andrew L.. (2006). Association Characteristics in Spatial Statistics. Mathematical Methods of Statistics. 3 indexed citations

11.

Rukhin, Andrew L., et al.. (1999). Statistical Testing of Random Number Generators. 69 Suppl 2. S205–14. 106 indexed citations

12.

Rukhin, Andrew L.. (1998). Decision-Making with a No-Decision Option. Statistics & Risk Modeling. 16(3).

13.

Hu, Inchi & Andrew L. Rukhin. (1995). A Lower-Bound For Error-Probility In Change-Point Estimation. Statistica Sinica. 5(1). 319–331. 3 indexed citations

14.

Rukhin, Andrew L.. (1994). Adaptive testing of multiple hypotheses for stochastic processes. Stochastic Analysis and Applications. 12(5). 567–582.

15.

Rukhin, Andrew L.. (1993). Lower bound on the error probability for families with bounded likelihood ratios. Proceedings of the American Mathematical Society. 119(4). 1307–1314. 3 indexed citations

16.

Luschgy, Harald, Andrew L. Rukhin, & Igor Vajda. (1993). Adaptive tests for stochastic processes in the ergodic case. Stochastic Processes and their Applications. 45(1). 45–59. 12 indexed citations

17.

Rukhin, Andrew L.. (1986). Improved Estimation in Lognormal Models. Journal of the American Statistical Association. 81(396). 1046–1049. 20 indexed citations

18.

Rukhin, Andrew L.. (1986). Quadratic estimators of quadratic functions of normal parameters. Journal of Statistical Planning and Inference. 15. 301–310. 3 indexed citations

19.

Rukhin, Andrew L.. (1982). Adaptive Procedures in Multiple Decision Problems and Hypothesis Testing. The Annals of Statistics. 10(4). 2 indexed citations

20.

Rukhin, Andrew L.. (1978). Statistical properties of the normal law on groups and invariant sufficiency. Journal of Mathematical Sciences. 9(1). 72–81.

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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