Ekkehard Glimm
- Statistics and Probability top 0.5%
- Management Science and Operations Research top 1%
- Economics and Econometrics top 5%
- Molecular Biology
- Genetics top 10%
- Co-authors
- Frank BretzMartin PoschWerner BrannathJürgen LäuterWilli MaurerJack BowdenJohn B. PorterAlan R. Cohen
- Topics
- Statistical Methods in Clinical Trials (40 papers)Optimal Experimental Design Methods (25 papers)Statistical Methods and Bayesian Inference (15 papers)
- Cited by
- Statistics and ProbabilityManagement Science and Operations ResearchStatistics, Probability and Uncertainty
- Partner nations
- SwitzerlandGermanyUnited Kingdom
In The Last Decade
Ekkehard Glimm
58 papers receiving 1.3k citations
Peers
Comparison fields: 5 of 133
- Statistics and Probability 832
- Management Science and Operations Research 410
- Economics and Econometrics 286
- Molecular Biology 178
- Genetics 159
Countries citing papers authored by Ekkehard Glimm
This map shows the geographic impact of Ekkehard Glimm'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 Ekkehard Glimm with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Ekkehard Glimm more than expected).
Fields of papers citing papers by Ekkehard Glimm
This network shows the impact of papers produced by Ekkehard Glimm. 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 Ekkehard Glimm. The network helps show where Ekkehard Glimm may publish in the future.
Co-authorship network of co-authors of Ekkehard Glimm
This figure shows the co-authorship network connecting the top 25 collaborators of Ekkehard Glimm. A scholar is included among the top collaborators of Ekkehard Glimm 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 Ekkehard Glimm. Ekkehard Glimm is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 0 | |
| 2 | 1 | |
| 3 | 5 | |
| 4 | 1 | |
| 5 | 1 | |
| 6 | 3 | |
| 7 | 30 | |
| 8 | 12 | |
| 9 | 82 | |
| 10 | 1 | |
| 11 | 2 | |
| 12 | 13 | |
| 13 | 27 | |
| 14 | 107 | |
| 15 | 3 | |
| 16 | 17 | |
| 17 | 169 | |
| 18 | 65 | |
| 19 | 10 | |
| 20 | 5 |
About Ekkehard Glimm
Ekkehard Glimm is a scholar working on Statistics and Probability, Management Science and Operations Research and Statistics, Probability and Uncertainty, having authored 60 papers that have together received 1.4k indexed citations. Recurring topics across this work include Statistical Methods in Clinical Trials (40 papers), Optimal Experimental Design Methods (25 papers) and Statistical Methods and Bayesian Inference (15 papers). The work is most often cited by research in Statistics and Probability (832 citations), Management Science and Operations Research (410 citations) and Statistics, Probability and Uncertainty (124 citations). Ekkehard Glimm has collaborated with scholars based in Switzerland, Germany and United Kingdom. Frequent co-authors include Frank Bretz, Martin Posch, Werner Brannath, Jürgen Läuter, Willi Maurer, Jack Bowden, John B. Porter, Alan R. Cohen, Franz Koenig and Siegfried Kropf. Their work appears in journals such as Blood, PLoS ONE and Pain.
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.