Hans‐Georg Müller

22.1k citations
244 papers · 14.1k · 4 hit papers · h-index 50

Impact in

    • Statistical Methods and Inference
    • Advanced Statistical Methods and Models
    • Statistical Methods and Bayesian Inference
  • Aging top 0.5%

Papers in

Hans‐Georg Müller

241 papers receiving 13.1k citations

Hans‐Georg Müller's Hit Papers

Functional Data Analysis 2016 · 518 citations
5180+11+23Years since publication10002.0k3.0k

Peers

Hans‐Georg Müller
Comparison fields: 5 of 216
  • Statistics and Probability 5.7k
  • Aging 419
  • Statistics, Probability and Uncertainty 853
  • Computational Mathematics 67
  • Artificial Intelligence 2.8k
Replace Art B. Owen with:
Art B. Owen United States
Peter J. Bickel United States
Raymond J. Carroll United States
Hui Zou United States
Ming Yuan United States
Tommaso Cai Italy
Peter Bühlmann Switzerland
George Casella United States
Joseph G. Ibrahim United States
Bernard W. Silverman United Kingdom
Hans‐Georg Müller relative to Art B. Owen United States Art B. Owen's profile →
Citations per field
00.5×5.6×
Art B. Owen · 1×
Citations per year

Countries citing papers authored by Hans‐Georg Müller

Since Specialization
Citations

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

Fields of papers citing papers by Hans‐Georg Müller

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Hans‐Georg Müller, 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 Hans‐Georg Müller Line = papers co-authored together Hans‐Georg Müller links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 244 papers — load more, or switch the sort, to bring in the rest.

#Work
1
Spline Models for Observational Data.
Hit paper breakdown →
19913469
2
Functional Data Analysis for Sparse Longitudinal Data
Hit paper breakdown →
20051047
3
Local Polynomial Modeling and Its Applications
Hit paper breakdown →
1998748
4
Functional Data Analysis
Hit paper breakdown →
2016518
5 2005473
6 1990269
7 1992236
8 2002222
9 1994214
10 1987212
11 1991183
12 2004182
13 2008163
14 2008154
15 1984143
16 1998134
17 1998130
18 1987128
19 2005124
20 1984119

About Hans‐Georg Müller

Hans‐Georg Müller is a scholar working on Statistics and Probability, Artificial Intelligence, Insect Science, Ecology and Management Science and Operations Research, having authored 244 papers that have together received 14.1k indexed citations. Recurring topics across this work include Statistical Methods and Inference (86 papers), Statistical Methods and Bayesian Inference (34 papers), Insect behavior and control techniques (27 papers), Advanced Statistical Methods and Models (26 papers), Bayesian Methods and Mixture Models (23 papers), Gene expression and cancer classification (14 papers), Marine Biology and Ecology Research (14 papers) and Optimal Experimental Design Methods (14 papers). The work is most often cited by research in Statistics and Probability (5.7k citations), Aging (419 citations), Statistics, Probability and Uncertainty (853 citations), Computational Mathematics (67 citations) and Artificial Intelligence (2.8k citations). Hans‐Georg Müller has collaborated with scholars based in United States, Germany and Taiwan. Frequent co-authors include Grace Wahba, Jane-Ling Wang, Fang Yao, Jeng‐Min Chiou, Ulrich Stadtmüller, Jun Fan, Irène Gijbels, James R. Carey, Jane‐Ling Wang and R. L. Eubank. Their work appears in journals such as Journal of the American Statistical Association, The Annals of Statistics, Biometrika, Journal of the Royal Statistical Society Series B (Statistical Methodology) and Experimental Gerontology.

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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