Michael Lavine

4.3k total citations
69 papers, 2.5k citations indexed

About

Michael Lavine is a scholar working on Statistics and Probability, Artificial Intelligence and Statistics, Probability and Uncertainty. According to data from OpenAlex, Michael Lavine has authored 69 papers receiving a total of 2.5k indexed citations (citations by other indexed papers that have themselves been cited), including 25 papers in Statistics and Probability, 15 papers in Artificial Intelligence and 7 papers in Statistics, Probability and Uncertainty. Recurrent topics in Michael Lavine's work include Statistical Methods and Bayesian Inference (15 papers), Advanced Statistical Methods and Models (11 papers) and Statistical Methods and Inference (11 papers). Michael Lavine is often cited by papers focused on Statistical Methods and Bayesian Inference (15 papers), Advanced Statistical Methods and Models (11 papers) and Statistical Methods and Inference (11 papers). Michael Lavine collaborates with scholars based in United States, United Kingdom and Spain. Michael Lavine's co-authors include Mark J. Schervish, James S. Clark, Miguel A. L. Nicolelis, Robert L. Wolpert, Brian Harrington, William H. Schlesinger, Mike West, Richard B. Thomas, George R. Hendrey and Shawna L. Naidu and has published in prestigious journals such as Science, Journal of Neuroscience and Journal of the American Statistical Association.

In The Last Decade

Michael Lavine

66 papers receiving 2.3k 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 Lavine United States 24 660 547 452 361 313 69 2.5k
John Robinson Australia 24 535 0.8× 309 0.6× 313 0.7× 570 1.6× 134 0.4× 136 3.2k
P. McCullagh United Kingdom 6 594 0.9× 296 0.5× 323 0.7× 507 1.4× 221 0.7× 6 2.8k
Thomas W. Yee New Zealand 25 442 0.7× 163 0.3× 469 1.0× 605 1.7× 217 0.7× 48 3.2k
Makio Ishiguro Japan 12 260 0.4× 297 0.5× 240 0.5× 317 0.9× 104 0.3× 52 2.3k
Russ Wolfinger United States 19 705 1.1× 170 0.3× 96 0.2× 195 0.5× 429 1.4× 40 3.1k
J. A. Nelder United Kingdom 4 472 0.7× 198 0.4× 291 0.6× 464 1.3× 200 0.6× 4 2.2k
Sara Taskinen Finland 22 272 0.4× 224 0.4× 708 1.6× 860 2.4× 412 1.3× 57 3.1k
Deepayan Sarkar India 16 110 0.2× 174 0.3× 240 0.5× 388 1.1× 320 1.0× 42 3.2k
Yoshitaka Sakamoto Japan 16 168 0.3× 150 0.3× 215 0.5× 326 0.9× 157 0.5× 42 2.3k
Rasmus Waagepetersen Denmark 23 516 0.8× 530 1.0× 316 0.7× 226 0.6× 167 0.5× 89 3.3k

Countries citing papers authored by Michael Lavine

Since Specialization
Citations

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

Fields of papers citing papers by Michael Lavine

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Michael Lavine

This figure shows the co-authorship network connecting the top 25 collaborators of Michael Lavine. A scholar is included among the top collaborators of Michael Lavine 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 Lavine. Michael Lavine 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.
Lavine, Michael. (2022). P-values don’t measure evidence. Communication in Statistics- Theory and Methods. 53(2). 718–726. 2 indexed citations
2.
Lavine, Michael, et al.. (2015). Approximately exact calculations for linear mixed models. Electronic Journal of Statistics. 9(2). 2 indexed citations
3.
Park, Minji, V. Srinivasan, David A. Reckhow, et al.. (2015). Co‐occurrences of EDCs/PPCPs in Surface Water Using Chemometrics. American Water Works Association. 108(4). 5 indexed citations
4.
Park, Minji, et al.. (2014). Multivariate Analyses for Monitoring EDCs and PPCPs in a Lake Water. Water Environment Research. 86(11). 2233–2241. 13 indexed citations
5.
Friedland, Lisa, David Jensen, & Michael Lavine. (2013). Copy or Coincidence? A Model for Detecting Social Influence and Duplication Events. International Conference on Machine Learning. 1175–1183. 3 indexed citations
6.
Elkinton, Joseph S., et al.. (2013). Hemlock Woolly Adelgid and Elongate Hemlock Scale Induce Changes in Foliar and Twig Volatiles of Eastern Hemlock. Journal of Chemical Ecology. 39(8). 1090–1100. 23 indexed citations
7.
Lavine, Michael. (2010). Living dangerously with big fancy models1. Ecology. 91(12). 3487–3487. 7 indexed citations
8.
Lavine, Michael, et al.. (2007). Dilution of Microbicide Gels With Vaginal Fluid and Semen Simulants: Effect on Rheological Properties and Coating Flow. Journal of Pharmaceutical Sciences. 97(2). 1030–1038. 45 indexed citations
9.
Stapleton, Jennifer, Michael Lavine, Robert L. Wolpert, Miguel A. L. Nicolelis, & Sidney A. Simon. (2006). Rapid Taste Responses in the Gustatory Cortex during Licking. Journal of Neuroscience. 26(15). 4126–4138. 110 indexed citations
10.
Ribeiro, Sidarta, Damien Gervasoni, Ernesto Soares, et al.. (2004). Long-Lasting Novelty-Induced Neuronal Reverberation during Slow-Wave Sleep in Multiple Forebrain Areas. PLoS Biology. 2(1). e24–e24. 193 indexed citations
11.
Iorio, Maria De & Michael Lavine. (2004). Intrinsic autoregressions at multiple resolutions. Journal of Statistical Planning and Inference. 134(1). 102–115. 1 indexed citations
12.
Owen, Derek H., Jennifer J. Peters, Michael Lavine, & David F. Katz. (2003). Effect of temperature and pH on contraceptive gel viscosity. Contraception. 67(1). 57–64. 47 indexed citations
13.
Qian, Song S. & Michael Lavine. (2003). Setting Standards for Water Quality in the Everglades. CHANCE. 16(3). 10–16. 1 indexed citations
14.
Lavine, Michael, et al.. (2001). Explaining the perfect sampler. 21 indexed citations
15.
Tarazona‐Santos, Eduardo, et al.. (2000). Hematological and pulmonary responses to high altitude in Quechuas: A multivariate approach. American Journal of Physical Anthropology. 111(2). 165–176. 21 indexed citations
16.
Cook, R. Dennis, José D. Bermúdez, Julián de la Horra, et al.. (1993). Exploring regression structure with graphics. Test. 2(1-2). 33–100. 13 indexed citations
17.
Lavine, Michael. (1992). Local predictive influence in bayesian linear models with conjugate priors. Communications in Statistics - Simulation and Computation. 21(1). 269–283. 6 indexed citations
18.
Lavine, Michael & Mike West. (1992). A Bayesian method for classification and discrimination. Canadian Journal of Statistics. 20(4). 451–461. 72 indexed citations
19.
Quill, Timothy J., et al.. (1991). The relative accuracies of two automated noninvasive arterial pressure measurement devices. The Journal of Clinical Monitoring. 7(1). 13–22. 42 indexed citations
20.
Lavine, Michael, L. H. Wasserman, & Robert L. Wolpert. (1991). Bayesian Inference with Specified Prior Marginals. Journal of the American Statistical Association. 86(416). 964–964. 13 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 John Robinson Breakdown of academic impact, for papers by P. McCullagh Breakdown of academic impact, for papers by Thomas W. Yee Breakdown of academic impact, for papers by Makio Ishiguro Breakdown of academic impact, for papers by Russ Wolfinger Breakdown of academic impact, for papers by J. A. Nelder Breakdown of academic impact, for papers by Sara Taskinen Breakdown of academic impact, for papers by Deepayan Sarkar Breakdown of academic impact, for papers by Yoshitaka Sakamoto Breakdown of academic impact, for papers by Rasmus Waagepetersen
Rankless by CCL
2026