Michael L. Stein

18.6k total citations · 6 hit papers
152 papers, 12.9k citations indexed

About

Michael L. Stein is a scholar working on Environmental Engineering, Global and Planetary Change and Atmospheric Science. According to data from OpenAlex, Michael L. Stein has authored 152 papers receiving a total of 12.9k indexed citations (citations by other indexed papers that have themselves been cited), including 64 papers in Environmental Engineering, 53 papers in Global and Planetary Change and 32 papers in Atmospheric Science. Recurrent topics in Michael L. Stein's work include Soil Geostatistics and Mapping (58 papers), Climate variability and models (28 papers) and Atmospheric and Environmental Gas Dynamics (27 papers). Michael L. Stein is often cited by papers focused on Soil Geostatistics and Mapping (58 papers), Climate variability and models (28 papers) and Atmospheric and Environmental Gas Dynamics (27 papers). Michael L. Stein collaborates with scholars based in United States, United Kingdom and Canada. Michael L. Stein's co-authors include Jean‐Paul Chilès, Pierre Delfiner, Stephen L. Rathbun, Roger D. Woodard, Mark S. Handcock, Mikyoung Jun, Zhengyuan Zhu, Leah J. Welty, Zhiyi Chi and Jens Breckling and has published in prestigious journals such as The Journal of Experimental Medicine, SHILAP Revista de lepidopterología and Journal of Geophysical Research Atmospheres.

In The Last Decade

Michael L. Stein

146 papers receiving 12.2k citations

Hit Papers

Geostatistics: Modeling Spatial Uncertainty 1987 2026 2000 2013 2000 1999 1987 2000 1987 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
Michael L. Stein United States 40 4.6k 2.5k 2.1k 1.6k 1.4k 152 12.9k
Anthony O’Hagan United Kingdom 47 1.1k 0.2× 2.3k 0.9× 1.1k 0.5× 2.3k 1.5× 1.8k 1.3× 129 13.5k
Pierre Goovaerts United States 46 7.9k 1.7× 3.1k 1.3× 2.8k 1.3× 1.3k 0.9× 508 0.4× 165 15.7k
Grace Wahba United States 46 1.3k 0.3× 4.4k 1.8× 1.3k 0.6× 806 0.5× 1.1k 0.8× 148 21.9k
Tilmann Gneiting Germany 44 3.1k 0.7× 2.3k 1.0× 4.9k 2.3× 2.0k 1.3× 308 0.2× 102 14.1k
Richard J. Beckman United States 22 1.4k 0.3× 1.5k 0.6× 1.3k 0.6× 405 0.3× 2.2k 1.6× 73 16.2k
Charles J. Stone United States 36 1.7k 0.4× 7.7k 3.1× 1.6k 0.8× 1.4k 0.9× 1.6k 1.2× 85 27.1k
Stefano Tarantola Italy 50 4.1k 0.9× 609 0.2× 3.6k 1.7× 937 0.6× 1.5k 1.1× 103 20.6k
Marc G. Genton United States 47 2.0k 0.4× 1.9k 0.8× 1.4k 0.7× 1.1k 0.7× 229 0.2× 289 8.2k
Håvard Rue Norway 48 2.7k 0.6× 2.6k 1.1× 2.3k 1.1× 3.0k 1.9× 204 0.1× 192 15.4k
Maxwell B. Stinchcombe United States 16 1.4k 0.3× 6.6k 2.7× 612 0.3× 1.1k 0.7× 965 0.7× 48 17.9k

Countries citing papers authored by Michael L. Stein

Since Specialization
Citations

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

Fields of papers citing papers by Michael L. Stein

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Michael L. Stein

This figure shows the co-authorship network connecting the top 25 collaborators of Michael L. Stein. A scholar is included among the top collaborators of Michael L. Stein 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 Michael L. Stein. Michael L. Stein 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.
Huser, Raphaël, et al.. (2023). Vecchia Likelihood Approximation for Accurate and Fast Inference with Intractable Spatial Max-Stable Models. Journal of Computational and Graphical Statistics. 33(3). 978–990. 5 indexed citations
2.
Stein, Michael L., et al.. (2023). Scalable computations for nonstationary Gaussian processes. Statistics and Computing. 33(4). 1 indexed citations
3.
Monahan, Adam H., et al.. (2023). Tail Dependence as a Measure of Teleconnected Warm and Cold Extremes of North American Wintertime Temperatures. Journal of Climate. 36(13). 4461–4473.
4.
Marin, Oana, et al.. (2023). Fitting Matérn smoothness parameters using automatic differentiation. Statistics and Computing. 33(2). 6 indexed citations
5.
Yuan, Jiacan, Michael L. Stein, & Robert E. Kopp. (2020). The Evolving Distribution of Relative Humidity Conditional Upon Daily Maximum Temperature in a Warming Climate. Journal of Geophysical Research Atmospheres. 125(19). 21 indexed citations
6.
Kuusela, Mikael & Michael L. Stein. (2018). Supplementary material from "Locally stationary spatio-temporal interpolation of Argo profiling float data". Figshare. 1 indexed citations
7.
Stein, Michael L., et al.. (2017). Maximum Likelihood Estimation for a Smooth Gaussian Random Field Model. SIAM/ASA Journal on Uncertainty Quantification. 5(1). 138–175. 12 indexed citations
8.
Stein, Michael L., Jie Chen, & Mihai Anitescu. (2013). Stochastic approximation of score functions for Gaussian processes. 27 indexed citations
9.
Stein, Michael L., et al.. (2012). Comparison of systemic interleukin 10 concentrations in healthy dogs and those suffering from recurring and first time Demodex canis infestations. Veterinary Parasitology. 193(1-3). 312–315. 23 indexed citations
10.
Stein, Michael L.. (2012). Statistical Properties of Covariance Tapers. Journal of Computational and Graphical Statistics. 22(4). 866–885. 42 indexed citations
11.
Loh, Ji Meng & Michael L. Stein. (2008). SPATIAL BOOTSTRAP WITH INCREASING OBSERVATIONS IN A FIXED DOMAIN. Statistica Sinica. 18(2). 667–688. 4 indexed citations
12.
Lim, Chae Young & Michael L. Stein. (2008). Properties of spatial cross-periodograms using fixed-domain asymptotics. Journal of Multivariate Analysis. 99(9). 1962–1984. 9 indexed citations
13.
Flicker, Leon, et al.. (2005). Vitamin D to prevent falls in older people in residential care. Asia Pacific Journal of Clinical Nutrition. 14. 4 indexed citations
14.
Anderes, Ethan & Michael L. Stein. (2005). Estimating deformations of isotropic gaussian random fields on the plane. 55 indexed citations
15.
Zhang, Baiyu & Michael L. Stein. (1993). Kernel Approximations for Universal Kriging Predictors. Journal of Multivariate Analysis. 44(2). 286–313. 4 indexed citations
16.
Stein, Michael L. & Satish Keshav. (1992). The versatility of macrophages. Clinical & Experimental Allergy. 22(1). 19–27. 66 indexed citations
17.
Stein, Michael L., et al.. (1988). Mechanical Intestinal Obstruction from Pseudocyst Bezoar following Internal Drainage of Traumatic Pancreatic Pseudocyst. The Journal of Trauma: Injury, Infection, and Critical Care. 28(9). 1406–1407. 2 indexed citations
18.
Stein, Michael L.. (1987). Large Sample Properties of Simulations Using Latin Hypercube Sampling. Technometrics. 29(2). 143–151. 1445 indexed citations breakdown →
19.
Stein, Michael L.. (1987). Minimum Norm Quadratic Estimation of Spatial Variograms. Journal of the American Statistical Association. 82(399). 765–772. 34 indexed citations
20.
Stein, Michael L.. (1986). A modification of minimum norm quadratic estimation of a generalized covariance function for use with large data sets. Mathematical Geology. 18(7). 625–633. 6 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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