Michael Levine

859 total citations
26 papers, 384 citations indexed

About

Michael Levine is a scholar working on Statistics and Probability, Artificial Intelligence and Management Science and Operations Research. According to data from OpenAlex, Michael Levine has authored 26 papers receiving a total of 384 indexed citations (citations by other indexed papers that have themselves been cited), including 13 papers in Statistics and Probability, 6 papers in Artificial Intelligence and 5 papers in Management Science and Operations Research. Recurrent topics in Michael Levine's work include Statistical Methods and Inference (13 papers), Bayesian Methods and Mixture Models (6 papers) and Advanced Statistical Methods and Models (5 papers). Michael Levine is often cited by papers focused on Statistical Methods and Inference (13 papers), Bayesian Methods and Mixture Models (6 papers) and Advanced Statistical Methods and Models (5 papers). Michael Levine collaborates with scholars based in United States, Chile and Colombia. Michael Levine's co-authors include Lawrence D. Brown, George E. Moore, Didier Chauveau, David R. Hunter, Moon Her, Hu Suk Lee, Lie Wang, Tommaso Cai, Mary E. Swigar and Boris M. Astrachan and has published in prestigious journals such as Biometrika, Statistics in Medicine and The Annals of Statistics.

In The Last Decade

Michael Levine

25 papers receiving 362 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Michael Levine United States 11 137 70 39 34 34 26 384
J. D. F. Habbema Netherlands 15 85 0.6× 58 0.8× 11 0.3× 147 4.3× 51 1.5× 25 879
Júlia Singer Austria 13 39 0.3× 19 0.3× 6 0.2× 26 0.8× 20 0.6× 23 467
Joshua P. French United States 12 21 0.2× 34 0.5× 79 2.0× 99 2.9× 31 437
D. Romero Spain 11 21 0.2× 15 0.2× 39 1.0× 22 0.6× 100 2.9× 23 409
J. v. Braun United States 9 93 0.7× 81 1.2× 4 0.1× 20 0.6× 10 482
Tamer Oraby United States 12 37 0.3× 16 0.2× 3 0.1× 68 2.0× 4 0.1× 44 486
Aliou Diop Senegal 14 118 0.9× 42 0.6× 2 0.1× 88 2.6× 5 0.1× 66 472
Marcos O. Prates Brazil 11 238 1.7× 191 2.7× 14 0.4× 4 0.1× 48 524
Yanlin Tang China 15 222 1.6× 58 0.8× 86 2.5× 10 0.3× 51 616
Manuel Oviedo de la Fuente Spain 12 123 0.9× 71 1.0× 2 0.1× 67 2.0× 1 0.0× 27 548

Countries citing papers authored by Michael Levine

Since Specialization
Citations

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

Fields of papers citing papers by Michael Levine

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Michael Levine

This figure shows the co-authorship network connecting the top 25 collaborators of Michael Levine. A scholar is included among the top collaborators of Michael Levine 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 Levine. Michael Levine 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.
Lozano, Gabriel, Nadia A. Lanman, & Michael Levine. (2023). Nonparametric clustering of RNA‐sequencing data. Statistical Analysis and Data Mining The ASA Data Science Journal. 16(6). 547–559. 1 indexed citations
2.
Levine, Michael, et al.. (2021). Estimation and inference of time-varying auto-covariance under complex trend: A difference-based approach. Electronic Journal of Statistics. 15(2). 4 indexed citations
3.
Levine, Michael, et al.. (2019). Minimax optimal estimation in partially linear additive models under high dimension. Bernoulli. 25(2). 1 indexed citations
4.
Robertis, Alex De, et al.. (2019). Amplifier linearity accounts for discrepancies in echo-integration measurements from two widely used echosounders. ICES Journal of Marine Science. 76(6). 1882–1892. 15 indexed citations
5.
Levine, Michael, et al.. (2018). An MM algorithm for estimation of a two component semiparametric density mixture with a known component. Electronic Journal of Statistics. 12(1). 2 indexed citations
6.
Bowen, S, Niccolò Fuin, Michael Levine, & Ciprian Catana. (2016). Transmission imaging for integrated PET-MR systems. Physics in Medicine and Biology. 61(15). 5547–5568. 14 indexed citations
7.
Hass, Zachary, et al.. (2016). The modeling of medical expenditure data from a longitudinal survey using the generalized method of moments (GMM) approach. Statistics in Medicine. 35(15). 2652–2664. 5 indexed citations
8.
Levine, Michael. (2015). Minimax rate of convergence for an estimator of the functional component in a semiparametric multivariate partially linear model. Journal of Multivariate Analysis. 140. 283–290. 1 indexed citations
9.
Levine, Michael, et al.. (2014). Regional and Temporal Variations of Leptospira Seropositivity in Dogs in the United States, 2000–2010. Journal of Veterinary Internal Medicine. 28(3). 779–788. 27 indexed citations
10.
Levine, Michael, Joseph W. Camp, Elisabeth Lund, et al.. (2013). Temporal patterns of human and canine Giardia infection in the United States: 2003–2009. Preventive Veterinary Medicine. 113(2). 249–256. 21 indexed citations
11.
Figueroa‐López, José E. & Michael Levine. (2013). Nonparametric regression with rescaled time series errors. Journal of Time Series Analysis. 34(3). 345–361. 2 indexed citations
12.
Lee, Hu Suk, Moon Her, Michael Levine, & George E. Moore. (2012). Time series analysis of human and bovine brucellosis in South Korea from 2005 to 2010. Preventive Veterinary Medicine. 110(2). 190–197. 41 indexed citations
13.
Levine, Michael & George E. Moore. (2009). A time series model of the occurrence of gastric dilatation-volvulus in a population of dogs. BMC Veterinary Research. 5(1). 12–12. 11 indexed citations
14.
Liu, Lei, Michael Levine, & Yu Zhu. (2009). A Functional EM Algorithm for Mixing Density Estimation via Nonparametric Penalized Likelihood Maximization. Journal of Computational and Graphical Statistics. 18(2). 481–504. 9 indexed citations
15.
Cai, Tommaso, Michael Levine, & Lie Wang. (2008). Variance function estimation in multivariate nonparametric regression with fixed design. Journal of Multivariate Analysis. 100(1). 126–136. 29 indexed citations
16.
Moore, George E., et al.. (2007). Meteorological influence on the occurrence of gastric dilatation-volvulus in military working dogs in Texas. International Journal of Biometeorology. 52(3). 219–222. 9 indexed citations
17.
Brown, Lawrence D. & Michael Levine. (2007). Variance estimation in nonparametric regression via the difference sequence method. The Annals of Statistics. 35(5). 80 indexed citations
18.
Dahl, Christian M. & Michael Levine. (2006). Nonparametric estimation of volatility models with serially dependent innovations. Statistics & Probability Letters. 76(18). 2007–2016. 7 indexed citations
19.
Levine, Michael. (2005). Bandwidth selection for a class of difference-based variance estimators in the nonparametric regression: A possible approach. Computational Statistics & Data Analysis. 50(12). 3405–3431. 23 indexed citations
20.
Swigar, Mary E., et al.. (1991). Single and Repeated Admissions to a Mental Health Center: Demographic, Clinical and Use of Service Characteristics. International Journal of Social Psychiatry. 37(4). 259–266. 33 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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