Joachim Härtung
- Statistics and Probability top 0.5%
- Statistical Methods in Clinical Trials 16
- Statistical Methods and Bayesian Inference 12
- Statistical Methods and Inference 9
- Advanced Statistical Methods and Models 6
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- Meta-analysis and systematic reviews 10
- Clinical Psychology top 5%
- Applied Psychology top 10%
- Genetics top 10%
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- Optimal Experimental Design Methods 8
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- Optimization and Variational Analysis 5
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- Advanced Optimization Algorithms Research 5
- Co-authors
- Guido KnappBimal K. SinhaKepher H. MakambiBrad J. BiggerstaffMarkus StückerPeter AltmeyerMatthias HoffmannF. Bach
- Journals
- Journal of the American Statistical Association (2 papers)Gastroenterology (1 paper)The American Journal of Cardiology (1 paper)
- Partner nations
- GermanyKenyaUnited States
In The Last Decade
Joachim Härtung
48 papers receiving 3.4k citations
Hit Papers
Peers
Comparison fields: 5 of 210
- Statistics and Probability 589
- Statistics, Probability and Uncertainty 490
- Clinical Psychology 377
- Applied Psychology 78
- Genetics 141
Countries citing papers authored by Joachim Härtung
This map shows the geographic impact of Joachim Härtung'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 Joachim Härtung with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Joachim Härtung more than expected).
Fields of papers citing papers by Joachim Härtung
This network shows the impact of papers produced by Joachim Härtung. 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 Joachim Härtung. The network helps show where Joachim Härtung may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Joachim Härtung, 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 | 2015 | 156 | |
| 2 | 2008 | 300 | |
| 3 | 2006 | 70 | |
| 4 | 2006 | 8 | |
| 5 | 2006 | 5 | |
| 6 | 2005 | 5 | |
| 7 | Improved tests for a random effects meta‐regression with a single covariatebreakdown → | 2003 | 1525 |
| 8 | 2003 | 20 | |
| 9 | 2002 | 25 | |
| 10 | 2001 | 0 | |
| 11 | 2001 | 313 | |
| 12 | 2001 | 7 | |
| 13 | 2001 | 57 | |
| 14 | 2000 | 1 | |
| 15 | 1999 | 11 | |
| 16 | 1998 | 1 | |
| 17 | 1997 | 1 | |
| 18 | 1989 | 26 | |
| 19 | Hypothesenprüfung im restringierten linearen Modell : Theorie und Anwendungen | 1984 | 7 |
| 20 | 1982 | 16 |
About Joachim Härtung
Joachim Härtung is a scholar working on Statistics and Probability, Statistics, Probability and Uncertainty and Numerical Analysis, having authored 51 papers that have together received 3.6k indexed citations. Recurring topics across this work include Statistical Methods in Clinical Trials (16 papers), Statistical Methods and Bayesian Inference (12 papers), Meta-analysis and systematic reviews (10 papers), Statistical Methods and Inference (9 papers), Optimal Experimental Design Methods (8 papers), Advanced Statistical Methods and Models (6 papers), Optimization and Variational Analysis (5 papers) and Advanced Optimization Algorithms Research (5 papers). The work is most often cited by research in Statistics and Probability (589 citations), Statistics, Probability and Uncertainty (490 citations) and Clinical Psychology (377 citations). Joachim Härtung has collaborated with scholars based in Germany, Kenya and United States. Frequent co-authors include Guido Knapp, Bimal K. Sinha, Kepher H. Makambi, Brad J. Biggerstaff, Markus Stücker, Peter Altmeyer, Matthias Hoffmann, F. Bach, Joachim P. Steinbach and H. Maximilian Mehdorn. Their work appears in journals such as Journal of the American Statistical Association, Gastroenterology and The American Journal of Cardiology.
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.