Frank Ückert
Impact in
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- Electronic Health Records Systems
- Health Informatics top 10%
Papers in
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- Biomedical Text Mining and Ontologies 16
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- Ethics in Clinical Research 10
- Co-authors
- Martin Lablans (19 shared papers)Hans‐Ulrich Prokosch (10 shared papers)Andreas Borg (1 shared paper)Marcel L. Müller (4 shared papers)Thomas Bürkle (3 shared papers)Thomas Wagner (8 shared papers)Sylvia Nürnberg (6 shared papers)Esther Schmidt (3 shared papers)
- Journals
- Methods of Information in Medicine (3 papers)Orphanet Journal of Rare Diseases (2 papers)Sensors (2 papers)Journal of Medical Systems (2 papers)Applied Sciences (2 papers)
- Partner nations
- GermanyNetherlandsUnited States
In The Last Decade
Frank Ückert
64 papers receiving 622 citations
Peers
Comparison fields: 5 of 99
- Health Information Management 118
- Health Informatics 17
- Medical Terminology 2
- Health 61
- Information Systems and Management 43
Countries citing papers authored by Frank Ückert
This map shows the geographic impact of Frank Ückert'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 Frank Ückert with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Frank Ückert more than expected).
Fields of papers citing papers by Frank Ückert
This network shows the impact of papers produced by Frank Ückert. 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 Frank Ückert. The network helps show where Frank Ückert may publish in the future.
Co-authors
The 25 scholars most cited alongside Frank Ückert, 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 69 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2013 | 75 | |
| 2 | 2015 | 55 | |
| 3 | 2015 | 50 | |
| 4 | 2005 | 49 | |
| 5 | 2012 | 44 | |
| 6 | 2021 | 18 | |
| 7 | 2010 | 18 | |
| 8 | 2017 | 17 | |
| 9 | 2018 | 17 | |
| 10 | 2014 | 16 | |
| 11 | 2015 | 16 | |
| 12 | 2002 | 15 | |
| 13 | 2014 | 15 | |
| 14 | 2016 | 14 | |
| 15 | 2017 | 14 | |
| 16 | 2019 | 13 | |
| 17 | 2014 | 12 | |
| 18 | 2019 | 12 | |
| 19 | Samply.MDR - A Metadata Repository and Its Application in Various Research Networks. | 2018 | 11 |
| 20 | Akteonline-an electronic healthcare record as a medium for information and communication. | 2002 | 11 |
About Frank Ückert
Frank Ückert is a scholar working on Molecular Biology, Public Health, Environmental and Occupational Health, Health Information Management, Genetics and Artificial Intelligence, having authored 69 papers that have together received 649 indexed citations. Recurring topics across this work include Biomedical Text Mining and Ontologies (16 papers), Electronic Health Records Systems (11 papers), Ethics in Clinical Research (10 papers), Genomics and Rare Diseases (10 papers), Cancer Genomics and Diagnostics (7 papers), Scientific Computing and Data Management (5 papers), Trauma and Emergency Care Studies (4 papers) and Privacy-Preserving Technologies in Data (4 papers). The work is most often cited by research in Health Information Management (118 citations), Health Informatics (17 citations), Medical Terminology (2 citations), Health (61 citations) and Information Systems and Management (43 citations). Frank Ückert has collaborated with scholars based in Germany, Netherlands and United States. Frequent co-authors include Martin Lablans, Hans‐Ulrich Prokosch, Andreas Borg, Marcel L. Müller, Thomas Bürkle, Thomas Wagner, Sylvia Nürnberg, Esther Schmidt, Eberhard Nieschlag and Con Mallidis. Their work appears in journals such as Methods of Information in Medicine, Orphanet Journal of Rare Diseases, Sensors, Journal of Medical Systems and Applied Sciences.
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.