Martin A. Tanner

16.8k total citations · 4 hit papers
146 papers, 11.9k citations indexed

About

Martin A. Tanner is a scholar working on Statistics and Probability, Artificial Intelligence and Health, Toxicology and Mutagenesis. According to data from OpenAlex, Martin A. Tanner has authored 146 papers receiving a total of 11.9k indexed citations (citations by other indexed papers that have themselves been cited), including 50 papers in Statistics and Probability, 43 papers in Artificial Intelligence and 12 papers in Health, Toxicology and Mutagenesis. Recurrent topics in Martin A. Tanner's work include Bayesian Methods and Mixture Models (36 papers), Statistical Methods and Inference (36 papers) and Statistical Methods and Bayesian Inference (31 papers). Martin A. Tanner is often cited by papers focused on Bayesian Methods and Mixture Models (36 papers), Statistical Methods and Inference (36 papers) and Statistical Methods and Bayesian Inference (31 papers). Martin A. Tanner collaborates with scholars based in United States, Switzerland and Australia. Martin A. Tanner's co-authors include Wing Hung Wong, Greg C. G. Wei, Wei Gao, Andrew L. Rukhin, MTW, Christian Ritter, Detlef Günther, Charles E. Elson, Wenxin Jiang and Michael A. Young and has published in prestigious journals such as Journal of the American Chemical Society, Journal of Clinical Oncology and Psychological Bulletin.

In The Last Decade

Martin A. Tanner

146 papers receiving 11.1k citations

Hit Papers

The Calculation of Posterior Distributions by Data Augmen... 1987 2026 2000 2013 1987 1990 1990 1987 500 1000 1.5k 2.0k 2.5k

Peers

Martin A. Tanner
M. P. Wand Australia
Bradley P. Carlin United States
Bernard W. Silverman United Kingdom
Thomas A. Louis United States
Pranab Kumar Sen United States
Hal S. Stern United States
Ian T. Jolliffe United Kingdom
D. V. Hinkley United States
John D. Kalbfleisch United States
Douglas A. Wolfe United States
M. P. Wand Australia
Martin A. Tanner
Citations per year, relative to Martin A. Tanner Martin A. Tanner (= 1×) peers M. P. Wand

Countries citing papers authored by Martin A. Tanner

Since Specialization
Citations

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

Fields of papers citing papers by Martin A. Tanner

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Martin A. Tanner. 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 Martin A. Tanner. The network helps show where Martin A. Tanner may publish in the future.

Co-authorship network of co-authors of Martin A. Tanner

This figure shows the co-authorship network connecting the top 25 collaborators of Martin A. Tanner. A scholar is included among the top collaborators of Martin A. Tanner 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 Martin A. Tanner. Martin A. Tanner 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.
Chin, V.W.L., John P. A. Ioannidis, Martin A. Tanner, & Sally Cripps. (2021). Effect estimates of COVID-19 non-pharmaceutical interventions are non-robust and highly model-dependent. Journal of Clinical Epidemiology. 136. 96–132. 43 indexed citations
2.
Ioannidis, John P. A., Sally Cripps, & Martin A. Tanner. (2020). Forecasting for COVID-19 has failed. International Journal of Forecasting. 38(2). 423–438. 231 indexed citations
3.
Hagino, Hiroyuki, et al.. (2017). Application of ICP-TOFMS for Real-time Measurement of Trace Elements in Automotive Exhaust Particulate Matters from Engine Oil Additives. Transactions of the Society of Automotive Engineers of Japan. 48(6). 2 indexed citations
4.
Li, Cheng, Wenxin Jiang, & Martin A. Tanner. (2013). General Oracle Inequalities for Gibbs Posterior with Application to Ranking. Journal of Machine Learning Research. 30. 512–521. 4 indexed citations
5.
Solari, Luigi & Martin A. Tanner. (2011). UPb.age, a fast data reduction script for LA-ICP-MS U-Pb geochronology. SHILAP Revista de lepidopterología. 38 indexed citations
6.
Carvalho, Alexandre Xavier Ywata de & Martin A. Tanner. (2005). Mixtures-of-Experts of Autoregressive Time Series: Asymptotic Normality and Model Specification. IEEE Transactions on Neural Networks. 16(1). 39–56. 23 indexed citations
7.
Jiang, Wenxin, et al.. (2003). Time series modeling via hierarchical mixtures. Statistica Sinica. 13(4). 1097–1118. 13 indexed citations
8.
Tanner, Martin A., et al.. (1999). Hierarchical mixtures-of-experts for generalized linear models: some results on denseness and consistency.. International Conference on Artificial Intelligence and Statistics. 1 indexed citations
9.
Tanner, Martin A., et al.. (1999). An Analytical Study of Several Markov Chain Monte Carlo Estimators of the Marginal Likelihood. Journal of Computational and Graphical Statistics. 8(4). 839–853. 4 indexed citations
10.
Kolassa, John E. & Martin A. Tanner. (1999). Approximate Monte Carlo Conditional Inference in Exponential Families. Biometrics. 55(1). 246–251. 6 indexed citations
11.
Lanphear, Bruce P., Mary J. Emond, David E. Jacobs, et al.. (1995). A Side-by-Side Comparison of Dust Collection Methods for Sampling Lead-Contaminated House Dust. Environmental Research. 68(2). 114–123. 99 indexed citations
12.
Rapoport, Aaron P., Jacob M. Rowe, Joanna M. Heal, Martin A. Tanner, & John F. DiPersio. (1992). Treatment of relapsed or refractory Hodgkin disease and non‐Hodgkin lymphoma with high‐dose chemoradiotherapy followed by unstimulated autologous peripheral stem cell rescue. American Journal of Hematology. 40(2). 86–92. 3 indexed citations
13.
Gao, Wei & Martin A. Tanner. (1990). A Monte Carlo Implementation of the EM Algorithm and the Poor Man's Data Augmentation Algorithms. Journal of the American Statistical Association. 85(411). 699–704. 735 indexed citations breakdown →
14.
Elson, Charles E., et al.. (1988). Anti-carcinogenic activity of d-limonene during the initiation and promotion/progression stages of DMBA-induced rat mammary carcinogenesis. Carcinogenesis. 9(2). 331–332. 131 indexed citations
15.
Tanner, Martin A.. (1985). The Use of Investigations in the Introductory Statistics Course. The American Statistician. 39(4). 306–310. 15 indexed citations
16.
Tanner, Martin A. & Michael A. Young. (1985). Modeling Agreement among Raters. Journal of the American Statistical Association. 80(389). 175–180. 117 indexed citations
17.
Tanner, Martin A., et al.. (1985). Systematic optimization of the clonal growth of primary human breast carcinoma cells. Proceedings of the American Association for Cancer Research. 26. 1 indexed citations
18.
Tanner, Martin A. & Wing Hung Wong. (1984). Data-Based Nonparametric Estimation of the Hazard Function with Applications to Model Diagnostics and Exploratory Analysis. Journal of the American Statistical Association. 79(385). 174–182. 55 indexed citations
19.
Brun, R., et al.. (1979). Cultivation of vertebrate infective forms derived from metacyclic forms of pleomorphic Trypanosoma brucei stocks. Short communication.. Munich Personal RePEc Archive (Ludwig Maximilian University of Munich). 36(4). 387–90. 46 indexed citations
20.
Tanner, Martin A. & N Weiss. (1978). Studies on Dipetalonema vitae (Filarioidea). II. Antibody dependent adhesion of peritoneal exudate cells to microfilariae in vitro.. Munich Personal RePEc Archive (Ludwig Maximilian University of Munich). 35(2). 151–60. 39 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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