Georg Duftschmid
Impact in
- Health Information Management top 0.5%
- Electronic Health Records Systems
- Medical Terminology top 5%
Papers in
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- Electronic Health Records Systems 16
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- Biomedical Text Mining and Ontologies 15
- Co-authors
- Wolfgang Dorda (18 shared papers)Walter Gall (21 shared papers)Claus Rinner (20 shared papers)Silvia Miksch (3 shared papers)Gottfried Endel (8 shared papers)Peter Klimek (5 shared papers)Stefan Thurner (3 shared papers)Thomas Wrba (6 shared papers)
- Journals
- International Journal of Medical Informatics (6 papers)Methods of Information in Medicine (5 papers)BMC Medical Informatics and Decision Making (3 papers)Artificial Intelligence in Medicine (2 papers)European Heart Journal (2 papers)
- Partner nations
- AustriaUnited StatesBelgium
In The Last Decade
Georg Duftschmid
59 papers receiving 717 citations
Peers
Comparison fields: 5 of 96
- Health Information Management 216
- Medical Terminology 5
- Family Practice 12
- Management Science and Operations Research 81
- Management Information Systems 57
Countries citing papers authored by Georg Duftschmid
This map shows the geographic impact of Georg Duftschmid'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 Duftschmid with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Georg Duftschmid more than expected).
Fields of papers citing papers by Georg Duftschmid
This network shows the impact of papers produced by Georg Duftschmid. 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 Duftschmid. The network helps show where Georg Duftschmid may publish in the future.
Co-authors
The 25 scholars most cited alongside Georg Duftschmid, 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 63 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2010 | 79 | |
| 2 | 2013 | 78 | |
| 3 | 2002 | 42 | |
| 4 | 2001 | 35 | |
| 5 | 2013 | 31 | |
| 6 | 2014 | 29 | |
| 7 | 2010 | 28 | |
| 8 | 2008 | 26 | |
| 9 | 2019 | 25 | |
| 10 | 2012 | 25 | |
| 11 | 1999 | 24 | |
| 12 | 2016 | 22 | |
| 13 | 2019 | 21 | |
| 14 | 2002 | 20 | |
| 15 | 2010 | 19 | |
| 16 | 2013 | 19 | |
| 17 | 2014 | 18 | |
| 18 | 2016 | 17 | |
| 19 | 2018 | 17 | |
| 20 | 2002 | 15 |
About Georg Duftschmid
Georg Duftschmid is a scholar working on Health Information Management, Molecular Biology, Artificial Intelligence, Public Health, Environmental and Occupational Health and General Health Professions, having authored 63 papers that have together received 748 indexed citations. Recurring topics across this work include Electronic Health Records Systems (16 papers), Biomedical Text Mining and Ontologies (15 papers), Semantic Web and Ontologies (9 papers), Clinical practice guidelines implementation (6 papers), Medication Adherence and Compliance (5 papers), Primary Care and Health Outcomes (4 papers), Advanced Database Systems and Queries (3 papers) and Scientific Computing and Data Management (3 papers). The work is most often cited by research in Health Information Management (216 citations), Medical Terminology (5 citations), Family Practice (12 citations), Management Science and Operations Research (81 citations) and Management Information Systems (57 citations). Georg Duftschmid has collaborated with scholars based in Austria, United States and Belgium. Frequent co-authors include Wolfgang Dorda, Walter Gall, Claus Rinner, Silvia Miksch, Gottfried Endel, Peter Klimek, Stefan Thurner, Thomas Wrba, Elske Ammenwerth and Michael Szell. Their work appears in journals such as International Journal of Medical Informatics, Methods of Information in Medicine, BMC Medical Informatics and Decision Making, Artificial Intelligence in Medicine and European Heart Journal.
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.