Michael Lavine

5.0k citations
80 papers · 3.8k · h-index 28

Impact in

Papers in

Michael Lavine

76 papers receiving 3.5k citations

Peers

Michael Lavine
Comparison fields: 5 of 179
  • Statistics and Probability 1.0k
  • Global and Planetary Change 954
  • Statistics, Probability and Uncertainty 300
  • Nature and Landscape Conservation 367
  • Atmospheric Science 472
Replace Paul W. Mielke with:
Paul W. Mielke United States
Walter Zucchini Germany
Peter Sprent United Kingdom
Kenneth J. Berry United States
Julian J. Faraway United States
Peter K. Dunn Australia
Oliver Schabenberger United States
Rebecca Killick United Kingdom
James Roger United Kingdom
Brian J. Reich United States
Michael Lavine relative to Paul W. Mielke United States Paul W. Mielke's profile →
Citations per field
00.5×1.5×
Paul W. Mielke · 1×
Citations per year

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-authors

The 25 scholars most cited alongside Michael Lavine, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Michael Lavine Line = papers co-authored together Michael Lavine links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 80 papers — load more, or switch the sort, to bring in the rest.

#Work
1
Understanding and Attributing Climate Change
2007516
2 1999427
3 1994418
4 1992257
5 2004205
6 1999156
7 2003140
8 1992129
9 2006120
10 1994119
11 199198
12 201394
13 199287
14 200568
15 200562
16 200350
17 200749
18 199148
19 199948
20 199545

About Michael Lavine

Michael Lavine is a scholar working on Statistics and Probability, Statistics, Probability and Uncertainty, Nature and Landscape Conservation, Artificial Intelligence and Global and Planetary Change, having authored 80 papers that have together received 3.8k indexed citations. Recurring topics across this work include Statistical Methods and Bayesian Inference (16 papers), Advanced Statistical Methods and Models (12 papers), Statistical Methods and Inference (11 papers), Bayesian Methods and Mixture Models (10 papers), Ecology and Vegetation Dynamics Studies (9 papers), Advanced Statistical Process Monitoring (6 papers), Plant Water Relations and Carbon Dynamics (4 papers) and Statistical Distribution Estimation and Applications (4 papers). The work is most often cited by research in Statistics and Probability (1.0k citations), Global and Planetary Change (954 citations), Statistics, Probability and Uncertainty (300 citations), Nature and Landscape Conservation (367 citations) and Atmospheric Science (472 citations). Michael Lavine has collaborated with scholars based in United States, United Kingdom and Spain. Frequent co-authors include Mark J. Schervish, James S. Clark, Robert L. Wolpert, Miguel A. L. Nicolelis, William H. Schlesinger, Mike West, Jacqueline E. Mohan, Roser Matamala, George R. Hendrey and Jason G. Hamilton. Their work appears in journals such as Journal of the American Statistical Association, The American Statistician, Journal of Statistical Planning and Inference, Ecology and Environmental and Ecological Statistics.

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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