Joseph Naus

2.5k total citations
56 papers, 1.4k citations indexed

About

Joseph Naus is a scholar working on Artificial Intelligence, Statistics and Probability and Mathematical Physics. According to data from OpenAlex, Joseph Naus has authored 56 papers receiving a total of 1.4k indexed citations (citations by other indexed papers that have themselves been cited), including 26 papers in Artificial Intelligence, 18 papers in Statistics and Probability and 10 papers in Mathematical Physics. Recurrent topics in Joseph Naus's work include Bayesian Methods and Mixture Models (15 papers), Stochastic processes and statistical mechanics (9 papers) and Probability and Risk Models (8 papers). Joseph Naus is often cited by papers focused on Bayesian Methods and Mixture Models (15 papers), Stochastic processes and statistical mechanics (9 papers) and Probability and Risk Models (8 papers). Joseph Naus collaborates with scholars based in United States, Netherlands and Australia. Joseph Naus's co-authors include Sylvan Wallenstein, Joseph Glaz, Małgorzata Roos, A. D. Gordon, Thomas G. Johnson, Dona Schneider, Daniel Wartenberg, Larry Rabinowitz, Minge Xie and Xiao Wang and has published in prestigious journals such as Journal of the American Statistical Association, Technometrics and Biometrics.

In The Last Decade

Joseph Naus

56 papers receiving 1.3k citations

Peers

Joseph Naus
Joseph Glaz United States
U. Dieter Austria
Lennart Bondesson Sweden
Ilsoon Yang United States
Pranab K. Sen United States
Aurore Delaigle Australia
Timothy C. Brown Australia
Shinto Eguchi Japan
Larry Goldstein United States
I. D. Hill United Kingdom
Joseph Glaz United States
Joseph Naus
Citations per year, relative to Joseph Naus Joseph Naus (= 1×) peers Joseph Glaz

Countries citing papers authored by Joseph Naus

Since Specialization
Citations

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

Fields of papers citing papers by Joseph Naus

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Joseph Naus. 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 Joseph Naus. The network helps show where Joseph Naus may publish in the future.

Co-authorship network of co-authors of Joseph Naus

This figure shows the co-authorship network connecting the top 25 collaborators of Joseph Naus. A scholar is included among the top collaborators of Joseph Naus 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 Joseph Naus. Joseph Naus 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.
Glaz, Joseph, Joseph Naus, & Xiao Wang. (2011). Approximations and Inequalities for Moving Sums. Methodology And Computing In Applied Probability. 14(3). 597–616. 7 indexed citations
2.
Xie, Minge, et al.. (2009). A Latent Model to Detect Multiple Clusters of Varying Sizes. Biometrics. 65(4). 1011–1020. 7 indexed citations
3.
Naus, Joseph & Sylvan Wallenstein. (2005). Temporal surveillance using scan statistics. Statistics in Medicine. 25(2). 311–324. 32 indexed citations
4.
Wallenstein, Sylvan & Joseph Naus. (2004). Scan Statistics for Temporal Surveillance for Biologic Terrorism. PsycEXTRA Dataset. 53. 74–8. 15 indexed citations
5.
Naus, Joseph & Valeri T. Stefanov. (2002). Double-Scan Statistics. Methodology And Computing In Applied Probability. 4(2). 163–180. 2 indexed citations
6.
Naus, Joseph, et al.. (1997). New recursive methods for scan statistic probabilities. Computational Statistics & Data Analysis. 23(3). 389–402. 11 indexed citations
7.
Naus, Joseph, et al.. (1997). Matching among multiple random sequences. Bulletin of Mathematical Biology. 59(3). 483–496. 5 indexed citations
8.
Naus, Joseph, et al.. (1996). Screening for unusual matched segments in multiple protein sequences. Communications in Statistics - Simulation and Computation. 25(4). 937–952. 5 indexed citations
9.
Naus, Joseph, et al.. (1994). Pattern matching between two non-aligned random sequences. Bulletin of Mathematical Biology. 56(6). 1143–1162. 8 indexed citations
10.
Wallenstein, Sylvan, Joseph Naus, & Joseph Glaz. (1993). Power of the scan statistic for detection of clustering. Statistics in Medicine. 12(19-20). 1829–1843. 15 indexed citations
11.
Naus, Joseph. (1982). Approximations for Distributions of Scan Statistics. Journal of the American Statistical Association. 77(377). 177–183. 90 indexed citations
12.
Glaz, Joseph & Joseph Naus. (1979). Multiple Coverage of the Line. The Annals of Probability. 7(5). 11 indexed citations
13.
Naus, Joseph. (1974). Probabilities for a Generalized Birthday Problem. Journal of the American Statistical Association. 69(347). 810–815. 65 indexed citations
14.
Wallenstein, Sylvan & Joseph Naus. (1973). Probabilities for a $k$th Nearest Neighbor Problem on the Line. The Annals of Probability. 1(1). 15 indexed citations
15.
Naus, Joseph, et al.. (1972). A Probabilistic Model for Identifying Errors in Data Editing. Journal of the American Statistical Association. 67(340). 943–950. 9 indexed citations
16.
Naus, Joseph. (1969). The Distribution of the Logarithm of the Sum of Two Log-Normal Variates. Journal of the American Statistical Association. 64(326). 655–655. 5 indexed citations
17.
Naus, Joseph. (1968). The Teacher's Corner: An Extension of the Birthday Problem. The American Statistician. 22(1). 27–29. 15 indexed citations
18.
Naus, Joseph. (1968). Classical and Contagious Discrete Distributions. Technometrics. 10(1). 213–214. 30 indexed citations
19.
Naus, Joseph. (1966). Some Probabilities, Expectations and Variances for the Size of Largest Clusters and Smallest Intervals. Journal of the American Statistical Association. 61(316). 1191–1199. 53 indexed citations
20.
Naus, Joseph. (1966). Power Comparison of Two Tests of Non-Random Clustering. Technometrics. 8(3). 493–517. 42 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 Joseph Glaz Breakdown of academic impact, for papers by U. Dieter Breakdown of academic impact, for papers by Lennart Bondesson Breakdown of academic impact, for papers by Ilsoon Yang Breakdown of academic impact, for papers by Pranab K. Sen Breakdown of academic impact, for papers by Aurore Delaigle Breakdown of academic impact, for papers by Timothy C. Brown Breakdown of academic impact, for papers by Shinto Eguchi Breakdown of academic impact, for papers by Larry Goldstein Breakdown of academic impact, for papers by I. D. Hill
Rankless by CCL
2026