Rolf Langeheine
- Statistics and Probability top 1%
- Statistical Methods and Bayesian Inference 7
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- Psychometric Methodologies and Testing 3
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- Mental Health Research Topics 5
- Applied Psychology top 10%
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- School Choice and Performance 4
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- Bayesian Modeling and Causal Inference 3
- Bayesian Methods and Mixture Models 2
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- Advanced Statistical Modeling Techniques 3
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- Spatial and Panel Data Analysis 3
Rolf Langeheine
32 papers receiving 1.3k citations
Hit Papers
Peers
Comparison fields: 5 of 141
- Statistics and Probability 386
- Management Science and Operations Research 264
- Experimental and Cognitive Psychology 220
- Applied Psychology 68
- Developmental and Educational Psychology 120
Countries citing papers authored by Rolf Langeheine
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
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
The 16 scholars most cited alongside Rolf Langeheine, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2006 | 0 | |
| 2 | 2003 | 130 | |
| 3 | 2003 | 1 | |
| 4 | 2003 | 7 | |
| 5 | 1999 | 97 | |
| 6 | 1999 | 2 | |
| 7 | 1998 | 30 | |
| 8 | Applications of Latent Trait and Latent Class Models in the Social Sciencesbreakdown → | 1998 | 345 |
| 9 | 1996 | 183 | |
| 10 | 1996 | 16 | |
| 11 | Mixed Markov Models, mover-stayer models and the EM algorithm | 1989 | 1 |
| 12 | 1988 | 10 | |
| 13 | 1988 | 67 | |
| 14 | Black and White, anfängliche Antwortunsicherheit, Mover-Stayer, Third Force oder was? Ein paar weitere Überlegungen zu Jagodzinski's Analyse des Postmaterialismus Panels | 1987 | 1 |
| 15 | 1986 | 15 | |
| 16 | 1982 | 12 | |
| 17 | 1982 | 3 | |
| 18 | 1978 | 2 | |
| 19 | 1978 | 2 | |
| 20 | 1977 | 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), School Choice and Performance (4 papers), Bayesian Modeling and Causal Inference (3 papers), Advanced Statistical Modeling Techniques (3 papers), Psychometric Methodologies and Testing (3 papers), Spatial and Panel Data Analysis (3 papers) and Bayesian Methods and Mixture Models (2 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.
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.