Elisabeth Dietz
- Public Health, Environmental and Occupational Health top 5%
- Epidemiology top 10%
- Statistics and Probability top 1%
- Molecular Biology
- Artificial Intelligence top 5%
- Co-authors
- Dankmar BöhningPeter SchlattmannConstanze WendtH. RüdenFrank P. MockenhauptUlrich BienzleRowland N. OtchwemahLuciana De Michelis Mendonça
- Topics
- Malaria Research and Control (9 papers)Bayesian Methods and Mixture Models (8 papers)Statistical Methods and Bayesian Inference (6 papers)
- Partner nations
- GermanyGhanaUnited States
In The Last Decade
Elisabeth Dietz
45 papers receiving 2.8k citations
Peers
Comparison fields: 5 of 173
- Public Health, Environmental and Occupational Health 565
- Epidemiology 445
- Statistics and Probability 398
- Molecular Biology 281
- Artificial Intelligence 279
Countries citing papers authored by Elisabeth Dietz
This map shows the geographic impact of Elisabeth Dietz'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 Elisabeth Dietz with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Elisabeth Dietz more than expected).
Fields of papers citing papers by Elisabeth Dietz
This network shows the impact of papers produced by Elisabeth Dietz. 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 Elisabeth Dietz. The network helps show where Elisabeth Dietz may publish in the future.
Co-authorship network of co-authors of Elisabeth Dietz
This figure shows the co-authorship network connecting the top 25 collaborators of Elisabeth Dietz. A scholar is included among the top collaborators of Elisabeth Dietz 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 Elisabeth Dietz. Elisabeth Dietz is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 127 | |
| 2 | 7 | |
| 3 | 135 | |
| 4 | 67 | |
| 5 | 109 | |
| 6 | 69 | |
| 7 | 23 | |
| 8 | 23 | |
| 9 | 18 | |
| 10 | 105 | |
| 11 | The Society regret publication of article named "toll-like receptor (TLR) polymorphism in african children: Common TLR-4 variants predispose to sever malaria"(J Commun Dis (2006) 38(3): 230-245) | 2 |
| 12 | 7 | |
| 13 | 65 | |
| 14 | 27 | |
| 15 | 23 | |
| 16 | 36 | |
| 17 | The Use of Two-Component Mixture Models with One Completely or Partly Known Component | 11 |
| 18 | 5 | |
| 19 | 77 | |
| 20 | 0 |
About Elisabeth Dietz
Elisabeth Dietz is a scholar working on Statistics and Probability, Occupational Therapy and Parasitology, having authored 46 papers that have together received 2.9k indexed citations. Recurring topics across this work include Malaria Research and Control (9 papers), Bayesian Methods and Mixture Models (8 papers) and Statistical Methods and Bayesian Inference (6 papers). The work is most often cited by research in Molecular Medicine (251 citations), Statistics and Probability (398 citations) and Endocrinology (160 citations). Elisabeth Dietz has collaborated with scholars based in Germany, Ghana and United States. Frequent co-authors include Dankmar Böhning, Peter Schlattmann, Constanze Wendt, H. Rüden, Frank P. Mockenhaupt, Ulrich Bienzle, Rowland N. Otchwemah, Luciana De Michelis Mendonça, Stephan Ehrhardt and Sylvester D. Anemana. Their work appears in journals such as Proceedings of the National Academy of Sciences, Blood and American Journal of Clinical Nutrition.
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.