Marlene Müller

1.8k total citations · 1 hit paper
17 papers, 984 citations indexed

About

Marlene Müller is a scholar working on Artificial Intelligence, Statistics and Probability and Sociology and Political Science. According to data from OpenAlex, Marlene Müller has authored 17 papers receiving a total of 984 indexed citations (citations by other indexed papers that have themselves been cited), including 6 papers in Artificial Intelligence, 6 papers in Statistics and Probability and 3 papers in Sociology and Political Science. Recurrent topics in Marlene Müller's work include Statistical Methods and Inference (6 papers), Bayesian Methods and Mixture Models (5 papers) and Linguistic Education and Pedagogy (3 papers). Marlene Müller is often cited by papers focused on Statistical Methods and Inference (6 papers), Bayesian Methods and Mixture Models (5 papers) and Linguistic Education and Pedagogy (3 papers). Marlene Müller collaborates with scholars based in Germany, United States and Spain. Marlene Müller's co-authors include Wolfgang Karl Härdle, Axel Werwatz, Stefan Sperlich, Enno Mammen, Michael C. Burda, Sigbert Klinke, Raymond J. Carroll, Göran Kauermann, Holger Kraft and Gerald Kroisandt and has published in prestigious journals such as Journal of the American Statistical Association, Journal of Applied Econometrics and Pharmaceuticals.

In The Last Decade

Marlene Müller

15 papers receiving 913 citations

Hit Papers

Nonparametric and Semiparametric Models 2004 2026 2011 2018 2004 200 400 600
What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

  1. Nonparametric and Semiparametric Models
    2004 672 citations Wolfgang Karl Härdle, Axel Werwatz et al. Springer series in statistics profile →

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Marlene Müller Germany 10 375 206 191 97 90 17 984
Ming−Yen Cheng Taiwan 17 520 1.4× 215 1.0× 112 0.6× 80 0.8× 37 0.4× 52 951
Calyampudi Radhakrishna Rao United States 17 328 0.9× 101 0.5× 180 0.9× 164 1.7× 56 0.6× 39 1.1k
Yasuo Amemiya United States 19 566 1.5× 155 0.8× 210 1.1× 53 0.5× 52 0.6× 45 1.3k
Jeffrey Glosup United States 9 224 0.6× 127 0.6× 231 1.2× 177 1.8× 83 0.9× 10 1.0k
John Aldrich United Kingdom 15 178 0.5× 159 0.8× 261 1.4× 43 0.4× 89 1.0× 42 1.0k
Karl Mosler Germany 17 505 1.3× 160 0.8× 184 1.0× 98 1.0× 126 1.4× 61 999
Christine Thomas‐Agnan France 16 382 1.0× 407 2.0× 319 1.7× 79 0.8× 53 0.6× 50 1.6k
Tatyana Krivobokova Germany 12 319 0.9× 100 0.5× 120 0.6× 44 0.5× 38 0.4× 27 700
Yong Zhou China 22 1.1k 3.0× 258 1.3× 179 0.9× 158 1.6× 38 0.4× 165 1.5k

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-authorship network of co-authors of Marlene Müller

This figure shows the co-authorship network connecting the top 25 collaborators of Marlene Müller. A scholar is included among the top collaborators of Marlene 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 Marlene Müller. Marlene Müller is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

17 of 17 papers shown
1.
Upadhyay, Neha, et al.. (2021). Mechanistic Insights into Binding of Ligands with Thiazolidinedione Warhead to Human Histone Deacetylase 4. Pharmaceuticals. 14(10). 1032–1032. 9 indexed citations
2.
Müller, Marlene, et al.. (2013). Oberstufe aus Schülersicht. Klassenwiederholung und individuelle Förderung in der Sekundarstufe II. PUB – Publications at Bielefeld University (Bielefeld University).
3.
Müller, Marlene, et al.. (2013). Oberstufe aus Schülersicht. Digital Access to Libraries (Université catholique de Louvain (UCL), l'Université de Namur (UNamur) and the Université Saint-Louis (USL-B)). 1 indexed citations
4.
Müller, Marlene, et al.. (2013). Oberstufe aus Schülersicht. DIAL (Catholic University of Leuven). 2 indexed citations
5.
6.
Härdle, Wolfgang Karl, Axel Werwatz, Marlene Müller, & Stefan Sperlich. (2004). Nonparametric and Semiparametric Models. Springer series in statistics. 672 indexed citations breakdown →
7.
Müller, Marlene, Holger Kraft, & Gerald Kroisandt. (2002). Redesigning Ratings: Assessing the Discriminatory Power of Credit Scores under Censoring. SSRN Electronic Journal. 8 indexed citations
8.
Müller, Marlene. (2001). Estimation and testing in generalized partial linear models—A comparative study. Statistics and Computing. 11(4). 299–309. 30 indexed citations
9.
Härdle, Wolfgang Karl, Sigbert Klinke, & Marlene Müller. (1999). XploRe — Learning Guide. CERN Document Server (European Organization for Nuclear Research). 33 indexed citations
10.
Härdle, Wolfgang Karl, Enno Mammen, & Marlene Müller. (1998). Testing Parametric versus Semiparametric Modeling in Generalized Linear Models. Journal of the American Statistical Association. 93(444). 1461–1474. 80 indexed citations
11.
Kauermann, Göran, Marlene Müller, & Raymond J. Carroll. (1998). The efficiency of bias-corrected estimators for nonparametric kernel estimation based on local estimating equations. Statistics & Probability Letters. 37(1). 41–47. 14 indexed citations
12.
Härdle, Wolfgang Karl, Enno Mammen, & Marlene Müller. (1998). Testing Parametric versus Semiparametric Modeling in Generalized Linear Models. Journal of the American Statistical Association. 93(444). 1461–1461. 27 indexed citations
13.
Burda, Michael C., Wolfgang Karl Härdle, Marlene Müller, & Axel Werwatz. (1998). Semiparametric analysis of German East-West migration intentions: facts and theory. Journal of Applied Econometrics. 13(5). 525–541. 79 indexed citations
14.
Burda, Michael C., Wolfgang Karl Härdle, Marlene Müller, & Axel Werwatz. (1998). Semiparametric analysis of German East–West migration intentions: facts and theory. Journal of Applied Econometrics. 13(5). 525–541. 13 indexed citations
15.
Burda, Michael C., Wolfgang Karl Härdle, Marlene Müller, & Axel Werwatz. (1997). Semiparametric Analysis of German East-West Migration Intentions. edoc Publication server (Humboldt University of Berlin). 2 indexed citations
16.
Härdle, Wolfgang Karl, Enno Mammen, & Marlene Müller. (1997). Testing Parametric versus Semiparametric Modelling in Generalized Linear Models. SSRN Electronic Journal. 13 indexed citations
17.
Müller, Marlene, et al.. (1996). Computerassisted Semiparametric Generalized Linear Models. SSRN Electronic Journal. 1 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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