John E. Angus

3.9k total citations · 1 hit paper
82 papers, 2.6k citations indexed

About

John E. Angus is a scholar working on Statistics and Probability, Statistics, Probability and Uncertainty and Safety, Risk, Reliability and Quality. According to data from OpenAlex, John E. Angus has authored 82 papers receiving a total of 2.6k indexed citations (citations by other indexed papers that have themselves been cited), including 25 papers in Statistics and Probability, 19 papers in Statistics, Probability and Uncertainty and 15 papers in Safety, Risk, Reliability and Quality. Recurrent topics in John E. Angus's work include Statistical Distribution Estimation and Applications (16 papers), Reliability and Maintenance Optimization (15 papers) and Probabilistic and Robust Engineering Design (12 papers). John E. Angus is often cited by papers focused on Statistical Distribution Estimation and Applications (16 papers), Reliability and Maintenance Optimization (15 papers) and Probabilistic and Robust Engineering Design (12 papers). John E. Angus collaborates with scholars based in United States, Italy and Canada. John E. Angus's co-authors include János Galambos, George Casella, Roger L. Berger, Andrew Harvey, Ray E. Schafer, Claudia Rangel‐Escareño, David L. Wild, Francesco Falciani, Maria Lioumi and Zoubin Ghahramani and has published in prestigious journals such as Journal of the American Statistical Association, Bioinformatics and Technometrics.

In The Last Decade

John E. Angus

78 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.

The Asymptotic Theory of Extreme Order Statistics

1990 1.2k citations John E. Angus et al. Technometrics profile →

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
John E. Angus United States	19	659	554	379	360	336	82	2.6k
János Galambos United States	21	901 1.4×	681 1.2×	242 0.6×	528 1.5×	453 1.3×	107	2.8k
Alan Genz United States	24	1.2k 1.8×	312 0.6×	305 0.8×	653 1.8×	574 1.7×	55	3.6k
David Cox United Kingdom	18	942 1.4×	198 0.4×	383 1.0×	370 1.0×	325 1.0×	42	2.7k
Daniel Peña Spain	30	1.1k 1.7×	624 1.1×	912 2.4×	392 1.1×	596 1.8×	148	3.4k
H. D. Miller United Kingdom	13	755 1.1×	519 0.9×	508 1.3×	477 1.3×	432 1.3×	22	4.2k
Jean‐Pierre Aubin France	27	505 0.8×	373 0.7×	674 1.8×	604 1.7×	430 1.3×	125	6.5k
Alan Julian Izenman United States	18	757 1.1×	165 0.3×	212 0.6×	248 0.7×	767 2.3×	47	3.3k
Saul Jacka United Kingdom	13	330 0.5×	1.6k 2.9×	697 1.8×	457 1.3×	337 1.0×	53	3.9k
Craig Robertson United States	12	1.6k 2.5×	257 0.5×	394 1.0×	486 1.4×	567 1.7×	36	3.6k
Rong Chen United States	22	729 1.1×	572 1.0×	569 1.5×	288 0.8×	1.1k 3.3×	76	3.3k

Countries citing papers authored by John E. Angus

Since Specialization

Citations

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

Fields of papers citing papers by John E. Angus

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by John E. Angus. 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 John E. Angus. The network helps show where John E. Angus may publish in the future.

Co-authorship network of co-authors of John E. Angus

This figure shows the co-authorship network connecting the top 25 collaborators of John E. Angus. A scholar is included among the top collaborators of John E. Angus 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 John E. Angus. John E. Angus 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.

Angus, John E., et al.. (2020). On the ratio of current age to total life for null recurrent renewal processes. Statistics & Probability Letters. 162. 108745–108745. 1 indexed citations

2.

Angus, John E., et al.. (2011). Allocating redundancy with reusable patterns for optimal hierarchical-system reliability and series MTBF. 1–6. 1 indexed citations

3.

Lam, Shui, et al.. (2008). Self-similarity in Message Passing Parallel Processing Communication.. 40(6). 94–100.

4.

Lewis, Steven, Alpan Raval, & John E. Angus. (2007). Bayesian Monte Carlo estimation for profile hidden Markov models. Mathematical and Computer Modelling. 47(11-12). 1198–1216. 4 indexed citations

5.

Wu, Shusen, et al.. (2006). A Single Frequency Approach to Mitigation of Ionospheric Depletion Events for SBAS in Equatorial Regions. Proceedings of the 19th International Technical Meeting of the Satellite Division of The Institute of Navigation (ION GNSS 2006). 939–952. 3 indexed citations

6.

Angus, John E.. (2006). RAIM with Multiple Faults. NAVIGATION Journal of the Institute of Navigation. 53(4). 249–257. 80 indexed citations

7.

Rangel‐Escareño, Claudia, John E. Angus, Zoubin Ghahramani, et al.. (2004). Modeling T-cell activation using gene expression profiling and state-space models. Bioinformatics. 20(9). 1361–1372. 140 indexed citations

8.

Angus, John E., et al.. (1999). The Sensitivity of Category I Precision Approach Availability to GPS Satellite Constellation. 233–250. 1 indexed citations

9.

Angus, John E.. (1993). Some consequences of sensor error in a model for passive detection. Mathematical and Computer Modelling. 18(2). 1–7. 2 indexed citations

10.

Angus, John E.. (1992). Asymptotic theory for bootstrapping the extremes. Communication in Statistics- Theory and Methods. 22(1). 15–30. 17 indexed citations

11.

Angus, John E.. (1992). Some Bounds on the Error in Approximating Transition Probabilities in Continuous-Time Markov Processes. SIAM Review. 34(1). 110–113. 4 indexed citations

12.

Angus, John E.. (1992). An Alternative Derivation of Asymptotic Normality for Sample Quantiles. SIAM Review. 34(2). 304–306. 1 indexed citations

13.

Angus, John E.. (1991). A simple asymptotic analysis of fisher's z-statistic. Communication in Statistics- Theory and Methods. 20(8). 2697–2700. 1 indexed citations

14.

Angus, John E., et al.. (1991). Regression Estimators: A Comparative Study. Technometrics. 33(4). 480–480. 10 indexed citations

15.

Angus, John E.. (1990). The Asymptotic Theory of Extreme Order Statistics. Technometrics. 32(1). 110–111. 31 indexed citations

16.

Angus, John E.. (1989). A note on the central limit theorem for the bootstrap mean. Communication in Statistics- Theory and Methods. 18(5). 1979–1982. 3 indexed citations

17.

Angus, John E., et al.. (1985). Failure-Free Period Life Tests. Technometrics. 27(1). 49–56. 8 indexed citations

18.

Angus, John E. & Ray E. Schafer. (1984). Improved Confidence Statements for the Binomial Parameter. The American Statistician. 38(3). 189–189. 13 indexed citations

19.

Schafer, Ray E. & John E. Angus. (1979). Estimation of Weibull Quantiles With Minimum Error in the Distribution Function. Technometrics. 21(3). 367–370. 7 indexed citations

20.

Angus, John E., et al.. (1979). BIT/External Test Figures of Merit and Demonstration Techniques. Defense Technical Information Center (DTIC). 4 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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