Rolf Langeheine

32 papers receiving 1.3k citations

Hit Papers

Applications of Latent Trait and Latent Class Models in t...19982026200720161998100200300

Peers

Rolf Langeheine
Comparison fields: 5 of 141
  • Statistics and Probability 386
  • Management Science and Operations Research 264
  • Sociology and Political Science 235
  • Experimental and Cognitive Psychology 220
  • Artificial Intelligence 211
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Yutaka Kano Japan
DE Ayala United States
C. Mitchell Dayton United States
Jürgen Rost Germany
Gerhard Arminger Germany
Marcus Lieberman United States
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Countries citing papers authored by Rolf Langeheine

Since Specialization
Citations

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

Fields of papers citing papers by Rolf Langeheine

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Rolf Langeheine

This figure shows the co-authorship network connecting the top 25 collaborators of Rolf Langeheine. A scholar is included among the top collaborators of Rolf Langeheine 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 Rolf Langeheine. Rolf Langeheine 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
#WorkIndexed citations
1 0
2 130
3 1
4 7
5 97
6 2
7 30
8
Applications of Latent Trait and Latent Class Models in the Social Sciencesbreakdown →
345
9 183
10 16
11
Mixed Markov Models, mover-stayer models and the EM algorithm
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12 10
13 67
14
Black and White, anfängliche Antwortunsicherheit, Mover-Stayer, Third Force oder was? Ein paar weitere Überlegungen zu Jagodzinski's Analyse des Postmaterialismus Panels
1
15 15
16 12
17 3
18 2
19 2
20 2

About Rolf Langeheine

Rolf Langeheine is a scholar working on Computational Mathematics, Statistics and Probability and Experimental and Cognitive Psychology, having authored 37 papers that have together received 1.4k indexed citations. Recurring topics across this work include Statistical Methods and Bayesian Inference (7 papers), Mental Health Research Topics (5 papers) and School Choice and Performance (4 papers). The work is most often cited by research in Statistics and Probability (386 citations), Management Science and Operations Research (264 citations) and Experimental and Cognitive Psychology (220 citations). Rolf Langeheine has collaborated with scholars based in Germany, Netherlands and United States. Frequent co-authors include Jürgen Rost, Frank van de Pol, SW, Michael Eid, Jeroen Pannekoek, Ulf Böckenholt, Ed Diener, Jeroen K. Vermunt, P. Häussler and Ulrich Rendtel. Their work appears in journals such as Journal of the American Statistical Association, Contemporary Sociology A Journal of Reviews and Psychological Methods.

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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