Peter Müller

950 total citations
24 papers, 534 citations indexed

About

Peter Müller is a scholar working on Molecular Biology, Artificial Intelligence and Statistics and Probability. According to data from OpenAlex, Peter Müller has authored 24 papers receiving a total of 534 indexed citations (citations by other indexed papers that have themselves been cited), including 8 papers in Molecular Biology, 7 papers in Artificial Intelligence and 7 papers in Statistics and Probability. Recurrent topics in Peter Müller's work include Bayesian Methods and Mixture Models (5 papers), Statistical Methods and Inference (4 papers) and Statistical Methods in Clinical Trials (4 papers). Peter Müller is often cited by papers focused on Bayesian Methods and Mixture Models (5 papers), Statistical Methods and Inference (4 papers) and Statistical Methods in Clinical Trials (4 papers). Peter Müller collaborates with scholars based in United States, Switzerland and Germany. Peter Müller's co-authors include Scott Berry, J. Jack Lee, Bradley P. Carlin, Valentin Wüstholz, Maria Christakis, Horst‐Robert Schütte, David Rossell, Yuan Ji, Lorenzo Trippa and Wesley O. Johnson and has published in prestigious journals such as Journal of the American Statistical Association, Biometrics and Biometrika.

In The Last Decade

Peter Müller

23 papers receiving 518 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Peter Müller United States 10 296 133 102 78 70 24 534
Naftali A. Langberg United States 13 432 1.5× 126 0.9× 32 0.3× 88 1.1× 9 0.1× 52 664
Richard Aló United States 11 51 0.2× 54 0.4× 57 0.6× 67 0.9× 91 1.3× 71 809
R. Kleyle United States 9 80 0.3× 114 0.9× 21 0.2× 70 0.9× 96 1.4× 49 360
Xinbing Kong China 13 172 0.6× 42 0.3× 166 1.6× 19 0.2× 22 0.3× 40 456
Qi Jiang United States 12 195 0.7× 26 0.2× 130 1.3× 44 0.6× 21 0.3× 37 382
Zvi Gilula Israel 17 428 1.4× 132 1.0× 59 0.6× 207 2.7× 63 0.9× 52 985
Jack C. Lee Taiwan 14 422 1.4× 68 0.5× 97 1.0× 272 3.5× 20 0.3× 24 703
Yichuan Zhao United States 16 652 2.2× 19 0.1× 49 0.5× 190 2.4× 50 0.7× 110 874
Vladimir K. Kaishev United Kingdom 15 125 0.4× 343 2.6× 246 2.4× 65 0.8× 10 0.1× 46 791
Siu‐Keung Tse Hong Kong 14 557 1.9× 131 1.0× 31 0.3× 38 0.5× 18 0.3× 63 734

Countries citing papers authored by Peter Müller

Since Specialization
Citations

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

Fields of papers citing papers by Peter Müller

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Peter Müller

This figure shows the co-authorship network connecting the top 25 collaborators of Peter Müller. A scholar is included among the top collaborators of Peter Müller 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 Peter Müller. Peter Müller 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.
2.
Sarkar, Abhra, et al.. (2023). Bayesian Nonparametric Common Atoms Regression for Generating Synthetic Controls in Clinical Trials. Journal of the American Statistical Association. 118(544). 2301–2314. 4 indexed citations
3.
Huisman, Marieke, et al.. (2021). VerifyThis 2019: a program verification competition. International Journal on Software Tools for Technology Transfer. 23(6). 883–893. 4 indexed citations
4.
Dimitrov, Dimitar, et al.. (2018). Static serializability analysis for causal consistency. ACM SIGPLAN Notices. 53(4). 90–104. 2 indexed citations
5.
Xu, Yanxun, et al.. (2016). A Decision-Theoretic Comparison of Treatments to Resolve Air Leaks After Lung Surgery Based on Nonparametric Modeling. Bayesian Analysis. 12(3). 639–652. 6 indexed citations
6.
Christakis, Maria, Peter Müller, & Valentin Wüstholz. (2016). Guiding dynamic symbolic execution toward unverified program executions. Kent Academic Repository (University of Kent). 144–155. 49 indexed citations
7.
Xu, Yanxun, Peter Müller, Yuan Yuan, Kamalakar Gulukota, & Yuan Ji. (2015). MAD Bayes for Tumor Heterogeneity—Feature Allocation With Exponential Family Sampling. Journal of the American Statistical Association. 110(510). 503–514. 11 indexed citations
8.
Yajima, Masanao, Donatello Telesca, Yuan Ji, & Peter Müller. (2014). Detecting differential patterns of interaction in molecular pathways. Biostatistics. 16(2). 240–251. 19 indexed citations
9.
Müller, Peter, et al.. (2014). Android. 1 indexed citations
10.
Rossell, David & Peter Müller. (2012). Sequential stopping for high-throughput experiments. Biostatistics. 14(1). 75–86. 5 indexed citations
11.
Trippa, Lorenzo, Peter Müller, & Wesley O. Johnson. (2011). The multivariate beta process and an extension of the Polya tree model. Biometrika. 98(1). 17–34. 18 indexed citations
12.
Berry, Scott, Bradley P. Carlin, J. Jack Lee, & Peter Müller. (2010). Bayesian Adaptive Methods for Clinical Trials. 316 indexed citations
13.
Müller, Peter. (2010). Advanced Lectures on Software Engineering. Lecture notes in computer science. 1 indexed citations
14.
15.
Rossell, David, Peter Müller, & Gary L. Rosner. (2006). Screening designs for drug development. Biostatistics. 8(3). 595–608. 15 indexed citations
16.
Müller, Peter, et al.. (1998). Bayesian optimal design in population models for haematologic data. Statistics in Medicine. 17(14). 1613–1622. 1 indexed citations
17.
Raabe, G, et al.. (1976). [Lectin arthritis--a new arthritis model].. PubMed. 22(3). 311–6. 1 indexed citations
18.
Schneider, F, et al.. (1973). Über den Verlauf der Umsetzung von Steroid‐3,5‐dienaminen mit Formaldehyd. Helvetica Chimica Acta. 56(7). 2396–2404. 7 indexed citations
19.
Perkampus, H.‐H. & Peter Müller. (1970). Dipolmomente der 1.2-Di-(pyridyl)-äthene / Dipole Moments of 1,2-Dipyridyl-ethylenes. Zeitschrift für Naturforschung B. 25(9). 917–927. 4 indexed citations
20.
Müller, Peter & Horst‐Robert Schütte. (1968). 1-Methyl-6-hydroxy-1.2.3.4-tetrahydroisochinolin-3-carbonsäure im Milchsaft von Euphorbia myrsinites L.. Zeitschrift für Naturforschung B. 23(4). 491–493. 12 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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Breakdown of academic impact, for papers by Naftali A. Langberg Breakdown of academic impact, for papers by Richard Aló Breakdown of academic impact, for papers by R. Kleyle Breakdown of academic impact, for papers by Xinbing Kong Breakdown of academic impact, for papers by Qi Jiang Breakdown of academic impact, for papers by Zvi Gilula Breakdown of academic impact, for papers by Jack C. Lee Breakdown of academic impact, for papers by Yichuan Zhao Breakdown of academic impact, for papers by Vladimir K. Kaishev Breakdown of academic impact, for papers by Siu‐Keung Tse
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