Marlene Müller

1.8k citations
34 papers · 1.1k · 1 hit paper · h-index 10

Impact in

    • Statistical Methods and Inference
    • Advanced Statistical Methods and Models
    • Statistical Methods and Bayesian Inference
  • Finance top 5%
    • Financial Risk and Volatility Modeling

Papers in

Marlene Müller

32 papers receiving 1.1k citations

Marlene Müller's Hit Papers

Nonparametric and Semiparametric Models 2004 · 720 citations
7200+7+14Years since publication200400600

Peers

Marlene Müller
Comparison fields: 5 of 148
  • Statistics and Probability 430
  • Finance 120
  • Statistics, Probability and Uncertainty 69
  • Artificial Intelligence 258
  • Economics and Econometrics 187
Replace Sonia Petrone with:
Sonia Petrone Italy
Jaromı́r Antoch Czechia
Tomaz J. Kozubowski United States
Jianhua Z. Huang United States
Jan Mielniczuk Poland
Hisashi Tanizaki Japan
Hannes Leeb Austria
Hélio S. Migon Brazil
C. K. Chu Taiwan
Marlene Müller relative to Sonia Petrone Italy Sonia Petrone's profile →
Citations per field
00.5×1.5×
Sonia Petrone · 1×
Citations per year

Countries citing papers authored by Marlene Müller

Since Specialization
Citations

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

Fields of papers citing papers by Marlene Müller

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 14 scholars most cited alongside Marlene 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 Marlene Müller Line = papers co-authored together Marlene Müller links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 34 papers — load more, or switch the sort, to bring in the rest.

#Work
1
Nonparametric and Semiparametric Models
Hit paper breakdown →
2004720
2 199884
3 199862
4 199954
5 200135
6 200429
7 199827
8 201124
9 199814
10 200013
11 20219
12 20009
13 20007
14 20046
15 20036
16 19985
17 20044
18 20064
19 19984
20 19973

About Marlene Müller

Marlene Müller is a scholar working on Statistics and Probability, Artificial Intelligence, Finance, Language and Linguistics and Economics and Econometrics, having authored 34 papers that have together received 1.1k indexed citations. Recurring topics across this work include Statistical Methods and Inference (10 papers), Advanced Statistical Methods and Models (6 papers), Bayesian Methods and Mixture Models (4 papers), Education Methods and Technologies (3 papers), Statistical Methods and Bayesian Inference (3 papers), Sociology and Education Studies (3 papers), Linguistic Education and Pedagogy (3 papers) and Economic Policies and Impacts (2 papers). The work is most often cited by research in Statistics and Probability (430 citations), Finance (120 citations), Statistics, Probability and Uncertainty (69 citations), Artificial Intelligence (258 citations) and Economics and Econometrics (187 citations). Marlene Müller has collaborated with scholars based in Germany, Spain and United States. Frequent co-authors include Wolfgang Karl Härdle, Axel Werwatz, Stefan Sperlich, Enno Mammen, Sigbert Klinke, Michael C. Burda, Raymond James Carroll, Göran Kauermann, Irene Bertschek and Jianqing Fan. Their work appears in journals such as Journal of Applied Econometrics, Journal of the American Statistical Association, Pharmaceuticals, Statistics and Computing and Statistics & Probability Letters.

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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