Rüdiger Mutz

Orcid: 0000-0003-3345-6090

According to our database1, Rüdiger Mutz authored at least 46 papers between 2007 and 2022.

Collaborative distances:
  • Dijkstra number2 of five.
  • Erdős number3 of five.

Timeline

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Bibliography

2022
Diversity and interdisciplinarity: Should variety, balance and disparity be combined as a product or better as a sum? An information-theoretical and statistical estimation approach.
Scientometrics, 2022

2021
Mapping the impact of papers on various status groups in excellencemapping.net: a new release of the excellence mapping tool based on citation and reader scores.
Scientometrics, 2021

The h-index.
CoRR, 2021

Mapping the impact of papers on various status groups: A new excellence mapping tool based on citation and reader scores.
CoRR, 2021

2020
Should citations be field-normalized in evaluative bibliometrics? An empirical analysis based on propensity score matching.
J. Informetrics, 2020

Growth rates of modern science: A latent piecewise growth curve approach to model publication numbers from established and new literature databases.
CoRR, 2020

2019
How to consider fractional counting and field normalization in the statistical modeling of bibliometric data: A multilevel Poisson regression approach.
J. Informetrics, 2019

MHq indicators for zero-inflated count data - A response to the comment by Smolinsky (in press).
J. Informetrics, 2019

How Should We Measure Individual Researcher's Performance Capacity Within and Between Universities? - Social Sciences as an Example? A Multilevel Extension of the Bibliometric Quotient (BQ).
Proceedings of the 17th International Conference on Scientometrics and Informetrics, 2019

2018
Identifying single influential publications in a research field: new analysis opportunities of the CRExplorer.
Scientometrics, 2018

The bibliometric quotient (BQ), or how to measure a researcher's performance capacity: A Bayesian Poisson Rasch model.
J. Informetrics, 2018

MHq indicators for zero-inflated count data - A response to Smolinsky and Marx (2018).
J. Informetrics, 2018

2017
Are there any frontiers of research performance? Efficiency measurement of funded research projects with the Bayesian stochastic frontier analysis for count data.
J. Informetrics, 2017

The effect of the "very important paper" (VIP) designation in <i>Angewandte Chemie International Edition</i> on citation impact: A propensity score matching analysis.
J. Assoc. Inf. Sci. Technol., 2017

2016
Some further aspects of sampling: Comment on Williams and Bornmann.
J. Informetrics, 2016

Excellence networks in science: A Web-based application based on Bayesian multilevel logistic regression (BMLR) for the identification of institutions collaborating successfully.
J. Informetrics, 2016

2015
What is behind the curtain of the Leiden Ranking?
J. Assoc. Inf. Sci. Technol., 2015

Testing for the fairness and predictive validity of research funding decisions: A multilevel multiple imputation for missing data approach using ex-ante and ex-post peer evaluation data from the Austrian science fund.
J. Assoc. Inf. Sci. Technol., 2015

How well does a university perform in comparison with its peers? The use of odds, and odds ratios, for the comparison of institutional citation impact using the Leiden Rankings.
J. Assoc. Inf. Sci. Technol., 2015

Growth rates of modern science: A bibliometric analysis based on the number of publications and cited references.
J. Assoc. Inf. Sci. Technol., 2015

Excellence networks in science: A web-based application (www.excellence-networks.net) for the identification of institutions collaborating successfully.
CoRR, 2015

2014
Ranking and mapping of universities and research-focused institutions worldwide based on highly-cited papers: A visualisation of results from multi-level models.
Online Inf. Rev., 2014

What is the effect of country-specific characteristics on the research performance of scientific institutions? Using multi-level statistical models to rank and map universities and research-focused institutions worldwide.
J. Informetrics, 2014

From P100 to P100': A new citation-rank approach.
J. Assoc. Inf. Sci. Technol., 2014

Growth rates of modern science: A bibliometric analysis.
CoRR, 2014

On the origins and the historical roots of the Higgs boson research from a bibliometric perspective.
CoRR, 2014

2013
The advantage of the use of samples in evaluative bibliometric studies.
J. Informetrics, 2013

The use of percentiles and percentile rank classes in the analysis of bibliometric data: Opportunities and limits.
J. Informetrics, 2013

Multilevel-statistical reformulation of citation-based university rankings: The Leiden ranking 2011/2012.
J. Assoc. Inf. Sci. Technol., 2013

Do Universities or Research Institutions With a Specific Subject Profile Have an Advantage or a Disadvantage in Institutional Rankings? A Latent Class Analysis With Data From the SCImago Ranking.
J. Assoc. Inf. Sci. Technol., 2013

Conceptual funding of a new citation-rank approach in bibliometrics: P100.
CoRR, 2013

2012
The generalized propensity score methodology for estimating unbiased journal impact factors.
Scientometrics, 2012

Skewed citation distributions and bias factors: Solutions to two core problems with the journal impact factor.
J. Informetrics, 2012

Ranking and mapping of universities and research-focused institutions worldwide based on highly-cited papers: A visualization of results from multi-level models
CoRR, 2012

2011
A multilevel meta-analysis of studies reporting correlations between the h index and 37 different h index variants.
J. Informetrics, 2011

Further steps towards an ideal method of measuring citation performance: The avoidance of citation (ratio) averages in field-normalization.
J. Informetrics, 2011

Turning the tables on citation analysis one more time: Principles for comparing sets of documents.
J. Assoc. Inf. Sci. Technol., 2011

Normalizing the measurement of citation performance: Principles for comparing sets of documents
CoRR, 2011

2010
The h index research output measurement: Two approaches to enhance its accuracy.
J. Informetrics, 2010

2009
The influence of the applicants' gender on the modeling of a peer review process by using latent Markov models.
Scientometrics, 2009

Do we need the <i>h</i> index and its variants in addition to standard bibliometric measures?
J. Assoc. Inf. Sci. Technol., 2009

2008
How to detect indications of potential sources of bias in peer review: A generalized latent variable modeling approach exemplified by a gender study.
J. Informetrics, 2008

Latent Markov modeling applied to grant peer review.
J. Informetrics, 2008

Are there better indices for evaluation purposes than the <i>h</i> index? A comparison of nine different variants of the <i>h</i> index using data from biomedicine.
J. Assoc. Inf. Sci. Technol., 2008

2007
Row-column (RC) association model applied to grant peer review.
Scientometrics, 2007

Gender differences in grant peer review: A meta-analysis.
J. Informetrics, 2007


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