Susanne Rässler

1.2k total citations
26 papers, 551 citations indexed

About

Susanne Rässler is a scholar working on Statistics and Probability, Sociology and Political Science and Artificial Intelligence. According to data from OpenAlex, Susanne Rässler has authored 26 papers receiving a total of 551 indexed citations (citations by other indexed papers that have themselves been cited), including 15 papers in Statistics and Probability, 9 papers in Sociology and Political Science and 5 papers in Artificial Intelligence. Recurrent topics in Susanne Rässler's work include Statistical Methods and Bayesian Inference (11 papers), Survey Methodology and Nonresponse (6 papers) and Advanced Causal Inference Techniques (6 papers). Susanne Rässler is often cited by papers focused on Statistical Methods and Bayesian Inference (11 papers), Survey Methodology and Nonresponse (6 papers) and Advanced Causal Inference Techniques (6 papers). Susanne Rässler collaborates with scholars based in Germany, Switzerland and United States. Susanne Rässler's co-authors include Jörg Drechsler, Stefan Bender, Regina T. Riphahn, Christian Aßmann, Uwe Jensen, Donald B. Rubin, Thomas Zwick, Gesine Stephan, Elizabeth R. Zell and Hans-Peter Blossfeld and has published in prestigious journals such as SHILAP Revista de lepidopterología, Biometrics and International Business Review.

In The Last Decade

Susanne Rässler

24 papers receiving 494 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Susanne Rässler Germany 13 194 133 121 118 113 26 551
Carla Rampichini Italy 14 298 1.5× 135 1.0× 78 0.6× 87 0.7× 88 0.8× 42 767
Leonardo Grilli Italy 17 214 1.1× 164 1.2× 130 1.1× 51 0.4× 60 0.5× 55 764
Fulvia Pennoni Italy 12 222 1.1× 106 0.8× 94 0.8× 195 1.7× 50 0.4× 43 803
Maximilian Kasy United States 12 126 0.6× 217 1.6× 102 0.8× 57 0.5× 81 0.7× 32 590
Warren S. Martin United States 17 83 0.4× 66 0.5× 206 1.7× 36 0.3× 76 0.7× 41 709
Deborah J. Rumsey United States 13 250 1.3× 68 0.5× 73 0.6× 56 0.5× 36 0.3× 29 807
Alfred Hamerle Germany 14 106 0.5× 237 1.8× 126 1.0× 32 0.3× 66 0.6× 64 743
Artem Prokhorov Australia 12 93 0.5× 271 2.0× 47 0.4× 37 0.3× 213 1.9× 48 625
Andreas Behr Germany 15 39 0.2× 222 1.7× 106 0.9× 40 0.3× 91 0.8× 47 710
Siegfried Gabler Germany 14 137 0.7× 98 0.7× 138 1.1× 33 0.3× 60 0.5× 55 574

Countries citing papers authored by Susanne Rässler

Since Specialization
Citations

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

Fields of papers citing papers by Susanne Rässler

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Susanne Rässler

This figure shows the co-authorship network connecting the top 25 collaborators of Susanne Rässler. A scholar is included among the top collaborators of Susanne Rässler 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 Susanne Rässler. Susanne Rässler 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.
Aßmann, Christian, et al.. (2015). Sampling and Weighting Cohort Samples in Institutional Contexts. AStA Wirtschafts- und Sozialstatistisches Archiv. 9(2). 131–157. 18 indexed citations
2.
Aßmann, Christian, et al.. (2012). Aspekte der Stichprobenziehung in der erziehungswissenschaftlichen Forschung. 1 indexed citations
3.
Rässler, Susanne, Donald B. Rubin, & Elizabeth R. Zell. (2012). Imputation. Wiley Interdisciplinary Reviews Computational Statistics. 5(1). 20–29. 20 indexed citations
4.
Aßmann, Christian, et al.. (2011). 4 Sampling designs of the National Educational Panel Study: challenges and solutions. Zeitschrift für Erziehungswissenschaft. 14(S2). 51–65. 47 indexed citations
5.
Jensen, Uwe, Hermann Gartner, & Susanne Rässler. (2010). Estimating German overqualification with stochastic earnings frontiers. AStA Advances in Statistical Analysis. 94(1). 33–51. 12 indexed citations
6.
Drechsler, Jörg, Stefan Bender, & Susanne Rässler. (2008). Comparing Fully and Partially Synthetic Datasets for Statistical Disclosure Control in the German IAB Establishment Panel. 1(3). 105–130. 35 indexed citations
7.
Drechsler, Jörg, et al.. (2008). A new approach for disclosure control in the IAB establishment panel—multiple imputation for a better data access. AStA Advances in Statistical Analysis. 92(4). 439–458. 32 indexed citations
8.
Jensen, Uwe & Susanne Rässler. (2007). The effects of collective bargaining on firm performance : new evidence based on stochastic production frontiers and multiply imputed German establishment data. Econstor (Econstor). 2 indexed citations
9.
Rässler, Susanne, et al.. (2007). Redesigning the German job vacancy survey - assessing the impact of high nonresponse rates. 2 indexed citations
10.
Stephan, Gesine, et al.. (2006). Das TrEffeR-Projekt der Bundesagentur für Arbeit: die Wirkung von Maßnahmen aktiver Arbeitsmarktpolitik. Econstor (Econstor). 39. 447–465. 20 indexed citations
11.
Rässler, Susanne. (2006). Der Einsatz von Missing Data Techniken in der Arbeitsmarktforschung des IAB. 90(4). 527–552. 3 indexed citations
12.
Münnich, Ralf & Susanne Rässler. (2005). PRIMA: A New Multiple Imputation Procedure for Binary Variables. Journal of Official Statistics. 21(2). 325. 6 indexed citations
13.
Jensen, Uwe & Susanne Rässler. (2005). Stochastic production frontiers with multiply imputed German establishment data. Econstor (Econstor). 39(2). 277–295. 4 indexed citations
14.
Rässler, Susanne. (2004). Data Fusion: Identification Problems, Validity, and Multiple Imputation. SHILAP Revista de lepidopterología. 33. 153–171. 35 indexed citations
15.
Rässler, Susanne, et al.. (2004). Kulturschock in Deutschland? — Zeitlicher Verlauf und Leistungseffekte der kulturellen Anpassung asiatischer Führungskräfte in Deutschland. Schmalenbach Journal of Business Research. 56(7). 639–659. 2 indexed citations
16.
Rässler, Susanne. (2004). The Impact of multiple imputation for DACSEIS. 11 indexed citations
17.
Rässler, Susanne. (2002). Statistical Matching: A Frequentist Theory, Practical Applications, and Alternative Bayesian Approaches. CERN Document Server (European Organization for Nuclear Research). 132 indexed citations
18.
Rässler, Susanne. (2002). Statistical Matching. Lecture notes in statistics. 91 indexed citations
19.
Rässler, Susanne. (2000). Ergänzung fehlender Daten in Umfragen / Imputation of Missing Data in Surveys. Jahrbücher für Nationalökonomie und Statistik. 220(1). 64–94. 2 indexed citations
20.
Rässler, Susanne, et al.. (1998). Aspects concerning data fusion techniques. Social Science Open Access Repository (GESIS – Leibniz Institute for the Social Sciences). 4. 317–333. 2 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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