Joachim Kunert
- Management Science and Operations Research top 0.5%
- Statistics and Probability top 1%
- Computational Theory and Mathematics top 2%
- Food Science top 5%
- Statistics, Probability and Uncertainty top 2%
- Co-authors
- R. J. MartinS. Helene RichterHanno WürbelJoseph P. GarnerJohn StufkenMichael MeynersEl Mostafa QannariYing Chen
- Topics
- Optimal Experimental Design Methods (54 papers)Statistical Methods in Clinical Trials (15 papers)Advanced Multi-Objective Optimization Algorithms (14 papers)
- Cited by
- Management Science and Operations ResearchStatistics and ProbabilityComputational Theory and Mathematics
- Partner nations
- GermanyUnited KingdomUnited States
In The Last Decade
Joachim Kunert
76 papers receiving 1.1k citations
Peers
Comparison fields: 5 of 144
- Management Science and Operations Research 664
- Statistics and Probability 353
- Computational Theory and Mathematics 285
- Food Science 151
- Statistics, Probability and Uncertainty 117
Countries citing papers authored by Joachim Kunert
This map shows the geographic impact of Joachim Kunert'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 Kunert with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Joachim Kunert more than expected).
Fields of papers citing papers by Joachim Kunert
This network shows the impact of papers produced by Joachim Kunert. 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 Kunert. The network helps show where Joachim Kunert may publish in the future.
Co-authorship network of co-authors of Joachim Kunert
This figure shows the co-authorship network connecting the top 25 collaborators of Joachim Kunert. A scholar is included among the top collaborators of Joachim Kunert 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 Joachim Kunert. Joachim Kunert is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 1 | |
| 2 | 4 | |
| 3 | 30 | |
| 4 | 7 | |
| 5 | 0 | |
| 6 | 14 | |
| 7 | 10 | |
| 8 | 27 | |
| 9 | An experiment to compare Taguchi's product array and the combined array | 4 |
| 10 | 2 | |
| 11 | 8 | |
| 12 | 13 | |
| 13 | 15 | |
| 14 | 30 | |
| 15 | 46 | |
| 16 | 4 | |
| 17 | 14 | |
| 18 | 31 | |
| 19 | 78 | |
| 20 | 90 |
About Joachim Kunert
Joachim Kunert is a scholar working on Management Science and Operations Research, Statistics and Probability and Industrial and Manufacturing Engineering, having authored 81 papers that have together received 1.2k indexed citations. Recurring topics across this work include Optimal Experimental Design Methods (54 papers), Statistical Methods in Clinical Trials (15 papers) and Advanced Multi-Objective Optimization Algorithms (14 papers). The work is most often cited by research in Management Science and Operations Research (664 citations), Statistics and Probability (353 citations) and Computational Theory and Mathematics (285 citations). Joachim Kunert has collaborated with scholars based in Germany, United Kingdom and United States. Frequent co-authors include R. J. Martin, S. Helene Richter, Hanno Würbel, Joseph P. Garner, John Stufken, Michael Meyners, El Mostafa Qannari, Ying Chen, R. A. Bailey and Holger Dette. Their work appears in journals such as Journal of the American Statistical Association, Technometrics and Nature 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.