Joseph M. Hilbe

15.1k total citations · 5 hit papers
95 papers, 8.6k citations indexed

About

Joseph M. Hilbe is a scholar working on Statistics and Probability, Artificial Intelligence and Economics and Econometrics. According to data from OpenAlex, Joseph M. Hilbe has authored 95 papers receiving a total of 8.6k indexed citations (citations by other indexed papers that have themselves been cited), including 18 papers in Statistics and Probability, 10 papers in Artificial Intelligence and 7 papers in Economics and Econometrics. Recurrent topics in Joseph M. Hilbe's work include Statistical Methods and Bayesian Inference (11 papers), Acute Myocardial Infarction Research (6 papers) and Advanced Statistical Methods and Models (6 papers). Joseph M. Hilbe is often cited by papers focused on Statistical Methods and Bayesian Inference (11 papers), Acute Myocardial Infarction Research (6 papers) and Advanced Statistical Methods and Models (6 papers). Joseph M. Hilbe collaborates with scholars based in United States, United Kingdom and Canada. Joseph M. Hilbe's co-authors include James W. Hardin, Elena N. Ieno, Alain F. Zuur, David Beyer, Justine Shults, David Brachman, William J. Rogers, Theresa Currier Thomas, Bonnie Sanderson and John G. Canto and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Water Resources Research and Monthly Notices of the Royal Astronomical Society.

In The Last Decade

Joseph M. Hilbe

80 papers receiving 8.2k citations

Hit Papers

Negative Binomial Regression 2002 2026 2010 2018 2011 2009 2002 2007 2012 500 1000 1.5k 2.0k

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Joseph M. Hilbe United States 27 1.1k 849 756 729 720 95 8.6k
Nathaniel Schenker United States 26 605 0.5× 612 0.7× 1.4k 1.8× 647 0.9× 376 0.5× 65 6.7k
Brian Francis United Kingdom 44 1.5k 1.3× 438 0.5× 1.6k 2.1× 592 0.8× 366 0.5× 233 10.5k
Geoff Cumming Australia 35 1.0k 0.9× 442 0.5× 1.2k 1.6× 409 0.6× 407 0.6× 102 10.4k
Jan de Leeuw Netherlands 44 2.0k 1.8× 995 1.2× 1.8k 2.4× 769 1.1× 672 0.9× 207 13.4k
Michael Smithson Australia 30 1.1k 1.0× 401 0.5× 553 0.7× 341 0.5× 290 0.4× 120 5.7k
David Strauss United States 46 503 0.4× 447 0.5× 659 0.9× 338 0.5× 457 0.6× 144 8.6k
Rodney X. Sturdivant United States 15 653 0.6× 532 0.6× 281 0.4× 711 1.0× 422 0.6× 43 9.3k
Nicole A. Lazar United States 24 628 0.6× 849 1.0× 1.9k 2.5× 594 0.8× 296 0.4× 91 15.0k
Esteban Walker United States 30 523 0.5× 451 0.5× 804 1.1× 695 1.0× 469 0.7× 67 11.2k
David Spiegelhalter United Kingdom 33 1.3k 1.2× 843 1.0× 791 1.0× 510 0.7× 198 0.3× 77 7.5k

Countries citing papers authored by Joseph M. Hilbe

Since Specialization
Citations

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

Fields of papers citing papers by Joseph M. Hilbe

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Joseph M. Hilbe

This figure shows the co-authorship network connecting the top 25 collaborators of Joseph M. Hilbe. A scholar is included among the top collaborators of Joseph M. Hilbe 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 M. Hilbe. Joseph M. Hilbe 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.
Souza, Rafael S. de, J. Elliott, A. Krone-Martins, et al.. (2014). CosmoPhotoz: Photometric redshift estimation using generalized linear models. Astrophysics Source Code Library. 1 indexed citations
2.
Souza, Rafael S. de, Ewan Cameron, Madhura Killedar, et al.. (2014). The Overlooked Potential of Generalized Linear Models in Astronomy - I: Binomial Regression and Numerical Simulations. arXiv (Cornell University). 2 indexed citations
3.
Feigelson, Eric D. & Joseph M. Hilbe. (2014). The Astrostatistics and Astroinformatics Portal. 223. 1 indexed citations
4.
Shults, Justine, Wenguang Sun, Xin Tu, et al.. (2009). A comparison of several approaches for choosing between working correlation structures in generalized estimating equation analysis of longitudinal binary data. Statistics in Medicine. 28(18). 2338–2355. 71 indexed citations
5.
Hilbe, Joseph M., et al.. (2008). Effect on Recreation Benefit Estimates from Correcting for On-Site Sampling Biases and Heterogeneous Trip Overdispersion in Count Data Recreation Demand Models (STATA). Journal of Modern Applied Statistical Methods. 7(1). 331–345. 12 indexed citations
6.
Christenson, James, Jafna L. Cox, T. Huynh, et al.. (2004). Fibrinolytic therapy in acute myocardial infarction: time to treatment in Canada.. PubMed. 20(8). 801–5. 8 indexed citations
7.
Hilbe, Joseph M.. (2000). Two-parameter log-gamma and log-inverse Gaussian models. Stata technical bulletin. 9(53). 1 indexed citations
8.
Hilbe, Joseph M.. (1999). Zero-truncated Poisson and negative binomial regression. Stata technical bulletin. 8(47). 10 indexed citations
9.
Hilbe, Joseph M., et al.. (1999). Right, left, and uncensored Poisson regression. Stata technical bulletin. 8(46). 3 indexed citations
10.
Hilbe, Joseph M.. (1999). Robust variance estimators for MLE Poisson and negative binomial regression. Stata technical bulletin. 8(45). 5 indexed citations
11.
Hilbe, Joseph M.. (1998). Stata-like commands for complementary log-log regression. Stata technical bulletin. 7(41). 1 indexed citations
12.
Hilbe, Joseph M., et al.. (1998). Correction to random number generators. Stata technical bulletin. 7(41). 1 indexed citations
13.
Hilbe, Joseph M.. (1997). Logistic regression: standardized coefficients and partial correlations. Stata technical bulletin. 6(35). 2 indexed citations
14.
Hilbe, Joseph M.. (1997). Maximum-likelihood complementary log-log regression. Stata technical bulletin. 6(32). 4 indexed citations
15.
Hilbe, Joseph M.. (1994). Comment on Royston's revision of glm. Stata technical bulletin. 3(18). 1 indexed citations
16.
Hilbe, Joseph M.. (1993). Sample size determination for means and proportions. Stata technical bulletin. 2(11). 4 indexed citations
17.
Hilbe, Joseph M.. (1992). Data Format Conversion Using DBMS/COPY and STAT/TRANSFER. Stata technical bulletin. 1(3). 1 indexed citations
18.
Hilbe, Joseph M.. (1992). Additional logit regression diagnostic - Cook's distance. Stata technical bulletin. 1(3). 1 indexed citations
19.
Hilbe, Joseph M.. (1992). Correction to the Nonlinear Regression Program. Stata technical bulletin. 1(3). 1 indexed citations
20.
Hilbe, Joseph M.. (1992). Correction to Logit Regression Extensions. Stata technical bulletin. 1(2). 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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