Georg Fette

565 total citations
42 papers, 328 citations indexed

About

Georg Fette is a scholar working on Artificial Intelligence, Molecular Biology and Cardiology and Cardiovascular Medicine. According to data from OpenAlex, Georg Fette has authored 42 papers receiving a total of 328 indexed citations (citations by other indexed papers that have themselves been cited), including 19 papers in Artificial Intelligence, 13 papers in Molecular Biology and 9 papers in Cardiology and Cardiovascular Medicine. Recurrent topics in Georg Fette's work include Semantic Web and Ontologies (12 papers), Biomedical Text Mining and Ontologies (11 papers) and Data Quality and Management (7 papers). Georg Fette is often cited by papers focused on Semantic Web and Ontologies (12 papers), Biomedical Text Mining and Ontologies (11 papers) and Data Quality and Management (7 papers). Georg Fette collaborates with scholars based in Germany, France and Greece. Georg Fette's co-authors include Frank Puppe, Stefan Störk, M. Anton Ertl, Mathias Kaspar, Georg Dietrich, Christoph Wanner, Gülmisal Güder, Lea K. Seidlmayer, Stergios Tzikas and Stefan Blankenberg and has published in prestigious journals such as Blood, International Journal of Molecular Sciences and Journal of the American Heart Association.

In The Last Decade

Georg Fette

40 papers receiving 321 citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Georg Fette Germany 9 123 100 81 55 41 42 328
David Pérez-Rey Spain 9 122 1.0× 43 0.4× 190 2.3× 59 1.1× 11 0.3× 35 540
Lisa Bastarache United States 10 117 1.0× 32 0.3× 151 1.9× 58 1.1× 23 0.6× 23 323
Vinod C. Kaggal United States 10 127 1.0× 28 0.3× 86 1.1× 56 1.0× 35 0.9× 21 307
Swapna Abhyankar United States 9 107 0.9× 16 0.2× 104 1.3× 60 1.1× 27 0.7× 18 315
Piotr Jaroslaw Chmura Denmark 7 146 1.2× 44 0.4× 28 0.3× 51 0.9× 36 0.9× 14 335
Jiye An China 11 80 0.7× 40 0.4× 54 0.7× 44 0.8× 69 1.7× 30 423
Tielman Van Vleck United States 12 134 1.1× 22 0.2× 136 1.7× 109 2.0× 38 0.9× 15 497
Jionglin Wu China 6 160 1.3× 37 0.4× 57 0.7× 121 2.2× 19 0.5× 17 366
Konstantinos Vakalis Greece 10 83 0.7× 153 1.5× 36 0.4× 88 1.6× 34 0.8× 16 395
Yaron Denekamp Israel 10 78 0.6× 45 0.5× 53 0.7× 91 1.7× 44 1.1× 21 290

Countries citing papers authored by Georg Fette

Since Specialization
Citations

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

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

20 of 20 papers shown
1.
2.
Pintér, J, Georg Fette, Carsten Henneges, et al.. (2024). Spontaneous echo contrast in the left atrial appendage is linked to a higher risk of thromboembolic events and mortality in patients with atrial fibrillation. IJC Heart & Vasculature. 56. 101590–101590.
3.
Ullrich, Melanie, Marc Erich Latoschik, Fabian Gilbert, et al.. (2023). Usability of a mHealth Solution using Speech Recognition for Point-of-care Diagnostic Management. Journal of Medical Systems. 47(1). 18–18. 3 indexed citations
4.
Güder, Gülmisal, Theresa Reiter, Georg Fette, et al.. (2023). Diagnosing post-capillary hypertension in patients with left heart disease: impact of new guidelines. Clinical Research in Cardiology. 115(3). 395–404. 5 indexed citations
5.
May, B., et al.. (2023). Using a Clinical Data Warehouse to Calculate and Present Key Metrics for the Radiology Department: Implementation and Performance Evaluation. JMIR Medical Informatics. 11. e41808–e41808. 1 indexed citations
6.
Kaspar, Mathias, Georg Fette, Monika Hanke, et al.. (2022). Automated provision of clinical routine data for a complex clinical follow-up study: A data warehouse solution. Health Informatics Journal. 28(1). 1187543457–1187543457. 3 indexed citations
7.
Schmitt, Dominik, Tobias Gassenmaier, Georg Fette, et al.. (2022). Features of metabolic syndrome and inflammation independently affect left ventricular function early after first myocardial infarction. International Journal of Cardiology. 370. 43–50. 5 indexed citations
8.
Fette, Georg, et al.. (2020). Translating openEHR Models to FHIR. Studies in health technology and informatics. 270. 1415–1416. 3 indexed citations
9.
Fette, Georg, et al.. (2019). Implementation of a HL7-CQL Engine Using the Graph Database Neo4J. Studies in health technology and informatics. 267. 46–51. 2 indexed citations
10.
Fette, Georg, Mathias Kaspar, M. Anton Ertl, et al.. (2019). Query Translation Between AQL and CQL. Studies in health technology and informatics. 264. 128–132. 2 indexed citations
11.
Fette, Georg, Mathias Kaspar, Georg Dietrich, et al.. (2019). Query Translation Between openEHR and i2b2. Studies in health technology and informatics. 258. 16–20. 2 indexed citations
12.
Kaspar, Mathias, Georg Fette, Gülmisal Güder, et al.. (2018). Underestimated prevalence of heart failure in hospital inpatients: a comparison of ICD codes and discharge letter information. Clinical Research in Cardiology. 107(9). 778–787. 31 indexed citations
13.
Fette, Georg, Mathias Kaspar, Georg Dietrich, et al.. (2017). A Customizable Importer for the Clinical Data Warehouses PaDaWaN and I2B2. Studies in health technology and informatics. 243. 90–94. 6 indexed citations
14.
Ertl, M. Anton, Georg Fette, Georg Dietrich, et al.. (2016). Data Linkage from Clinical to Study Databases via an R Data Warehouse User Interface. Methods of Information in Medicine. 55(4). 381–386. 9 indexed citations
15.
Störk, Stefan, Sebastian Herrmann, Olga Kukuy, et al.. (2016). Prevalence of severe mitral regurgitation eligible for edge-to-edge mitral valve repair (MitraClip). Clinical Research in Cardiology. 105(8). 699–709. 14 indexed citations
16.
Dietrich, Georg, Georg Fette, & Frank Puppe. (2014). A Comparison of Search Engine Technologies for a Clinical Data Warehouse.. LWA. 235–242. 1 indexed citations
17.
Fette, Georg, et al.. (2014). UIMA Ruta Workbench: Rule-based Text Annotation. International Conference on Computational Linguistics. 29–33. 2 indexed citations
18.
Fette, Georg, et al.. (2013). Storing UIMA CASes in a relational database.. 10–13. 1 indexed citations
19.
Fette, Georg, et al.. (2012). Information extraction from unstructured electronic health records and integration into a data warehouse. GI-Jahrestagung. 1237–1251. 14 indexed citations
20.
Fette, Georg, et al.. (2011). Information Extraction from Echocardiography Records.. LWA. 187–190. 2 indexed citations

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.

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