Georg Fette
- Artificial Intelligence top 10%
- Cardiology and Cardiovascular Medicine
- Molecular Biology
- Health Information Management top 5%
- Radiology, Nuclear Medicine and Imaging
- Co-authors
- Frank PuppeStefan StörkM. Anton ErtlMathias KasparGeorg DietrichChristoph WannerLea K. SeidlmayerGülmisal Güder
- Topics
- Semantic Web and Ontologies (12 papers)Biomedical Text Mining and Ontologies (11 papers)Data Quality and Management (7 papers)
- Partner nations
- GermanyCanadaUnited Kingdom
In The Last Decade
Georg Fette
40 papers receiving 321 citations
Peers
Comparison fields: 5 of 84
- Artificial Intelligence 123
- Cardiology and Cardiovascular Medicine 100
- Molecular Biology 81
- Health Information Management 55
- Radiology, Nuclear Medicine and Imaging 41
Countries citing papers authored by Georg Fette
This map shows the geographic impact of Georg Fette'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 Georg Fette with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Georg Fette more than expected).
Fields of papers citing papers by Georg Fette
This network shows the impact of papers produced by Georg Fette. 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 Georg Fette. The network helps show where Georg Fette may publish in the future.
Co-authorship network of co-authors of Georg Fette
This figure shows the co-authorship network connecting the top 25 collaborators of Georg Fette. A scholar is included among the top collaborators of Georg Fette 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 Georg Fette. Georg Fette 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 | 0 | |
| 3 | 3 | |
| 4 | 5 | |
| 5 | 1 | |
| 6 | 3 | |
| 7 | 5 | |
| 8 | 3 | |
| 9 | 8 | |
| 10 | 4 | |
| 11 | 2 | |
| 12 | 2 | |
| 13 | 31 | |
| 14 | 18 | |
| 15 | 14 | |
| 16 | 9 | |
| 17 | A Comparison of Search Engine Technologies for a Clinical Data Warehouse. | 1 |
| 18 | UIMA Ruta Workbench: Rule-based Text Annotation | 2 |
| 19 | Information extraction from unstructured electronic health records and integration into a data warehouse | 14 |
| 20 | Information Extraction from Echocardiography Records. | 2 |
About Georg Fette
Georg Fette is a scholar working on Health Information Management, Health Informatics and Artificial Intelligence, having authored 42 papers that have together received 328 indexed citations. Recurring topics across this work include Semantic Web and Ontologies (12 papers), Biomedical Text Mining and Ontologies (11 papers) and Data Quality and Management (7 papers). The work is most often cited by research in Health Information Management (55 citations), Health Informatics (10 citations) and Cardiology and Cardiovascular Medicine (100 citations). Georg Fette has collaborated with scholars based in Germany, Canada and United Kingdom. Frequent co-authors include Frank Puppe, Stefan Störk, M. Anton Ertl, Mathias Kaspar, Georg Dietrich, Christoph Wanner, Lea K. Seidlmayer, Gülmisal Güder, Thomas Münzel and Christiane Drechsler. Their work appears in journals such as Blood, International Journal of Molecular Sciences and Journal of the American Heart Association.
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.