Ralf Eggeling
Impact in
- Infectious Diseases top 10%
- SARS-CoV-2 and COVID-19 Research
- SARS-CoV-2 detection and testing
- Viral Infections and Outbreaks Research
-
- HIV Research and Treatment
Papers in
-
- Bayesian Modeling and Causal Inference 9
- Algorithms and Data Compression 2
- Domain Adaptation and Few-Shot Learning 1
- Co-authors
- Ivo Große (8 shared papers)Mikko Koivisto (7 shared papers)Nico Pfeifer (7 shared papers)Florian Klein (2 shared papers)Teemu Roos (2 shared papers)Lutz Gieselmann (2 shared papers)Henning Gruell (2 shared papers)Petri J. Myllymäki (2 shared papers)
- Journals
- BMC Bioinformatics (2 papers)Nature Medicine (2 papers)Bioinformatics (2 papers)BMC Public Health (2 papers)Nucleic Acids Research (1 paper)
- Partner nations
- GermanyFinlandUnited States
In The Last Decade
Ralf Eggeling
24 papers receiving 449 citations
Peers
Comparison fields: 5 of 53
- Infectious Diseases 215
- Virology 16
- General Dentistry 1
- Molecular Biology 102
- Artificial Intelligence 42
Countries citing papers authored by Ralf Eggeling
This map shows the geographic impact of Ralf Eggeling'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 Ralf Eggeling with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Ralf Eggeling more than expected).
Fields of papers citing papers by Ralf Eggeling
This network shows the impact of papers produced by Ralf Eggeling. 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 Ralf Eggeling. The network helps show where Ralf Eggeling may publish in the future.
Co-authors
The 25 scholars most cited alongside Ralf Eggeling, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 26 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2021 | 118 | |
| 2 | 2019 | 94 | |
| 3 | 2021 | 54 | |
| 4 | 2015 | 32 | |
| 5 | 2014 | 20 | |
| 6 | 2022 | 20 | |
| 7 | 2019 | 18 | |
| 8 | 2018 | 13 | |
| 9 | 2016 | 12 | |
| 10 | 2021 | 11 | |
| 11 | 2023 | 11 | |
| 12 | 2019 | 9 | |
| 13 | 2013 | 6 | |
| 14 | 2021 | 6 | |
| 15 | Robust learning of inhomogeneous PMMs | 2014 | 5 |
| 16 | Dealing with small data: On the generalization of context trees | 2015 | 5 |
| 17 | Intersection-Validation: A Method for Evaluating Structure Learning without Ground Truth | 2018 | 5 |
| 18 | Pruning rules for learning parsimonious context trees | 2016 | 3 |
| 19 | Finding Optimal Bayesian Networks with Local Structure. | 2018 | 3 |
| 20 | On Structure Priors for Learning Bayesian Networks | 2019 | 3 |
About Ralf Eggeling
Ralf Eggeling is a scholar working on Artificial Intelligence, Infectious Diseases, Health Informatics, Molecular Biology and Virology, having authored 26 papers that have together received 455 indexed citations. Recurring topics across this work include Bayesian Modeling and Causal Inference (9 papers), Genomics and Chromatin Dynamics (4 papers), Artificial Intelligence in Healthcare and Education (2 papers), Respiratory viral infections research (2 papers), Algorithms and Data Compression (2 papers), Medical Imaging and Analysis (2 papers), Genomics and Phylogenetic Studies (2 papers) and Domain Adaptation and Few-Shot Learning (1 paper). The work is most often cited by research in Infectious Diseases (215 citations), Virology (16 citations), General Dentistry (1 citation), Molecular Biology (102 citations) and Artificial Intelligence (42 citations). Ralf Eggeling has collaborated with scholars based in Germany, Finland and United States. Frequent co-authors include Ivo Große, Mikko Koivisto, Nico Pfeifer, Florian Klein, Teemu Roos, Lutz Gieselmann, Henning Gruell, Petri J. Myllymäki, Christoph Kreer and Meryem Seda Ercanoglu. Their work appears in journals such as BMC Bioinformatics, Nature Medicine, Bioinformatics, BMC Public Health and Nucleic Acids Research.
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.