Klaus A. Kuhn
- Health Information Management top 0.2%
- Electronic Health Records Systems 22
- Health Informatics top 5%
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- Business Process Modeling and Analysis 8
- Artificial Intelligence top 2%
- Privacy-Preserving Technologies in Data 20
- Cryptography and Data Security 8
- Semantic Web and Ontologies 8
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- Data Quality and Management 10
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- Biomedical Text Mining and Ontologies 9
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- Gallbladder and Bile Duct Disorders 9
- Co-authors
- Fabian PraßerRichard LenzDario A. GiuseFlorian KohlmayerRaffael BildH. DitschuneitP JanowitzClaudia Eckert
- Journals
- SHILAP Revista de lepidopterología (1 paper)PLoS ONE (1 paper)Hepatology (1 paper)
- Partner nations
- GermanyUnited StatesUnited Kingdom
In The Last Decade
Klaus A. Kuhn
104 papers receiving 2.0k citations
Peers
Comparison fields: 5 of 153
- Health Information Management 433
- Health Informatics 37
- Medical Laboratory Technology 29
- Management Information Systems 165
- Artificial Intelligence 534
Countries citing papers authored by Klaus A. Kuhn
This map shows the geographic impact of Klaus A. Kuhn'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 Klaus A. Kuhn with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Klaus A. Kuhn more than expected).
Fields of papers citing papers by Klaus A. Kuhn
This network shows the impact of papers produced by Klaus A. Kuhn. 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 Klaus A. Kuhn. The network helps show where Klaus A. Kuhn may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Klaus A. Kuhn, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2021 | 1 | |
| 2 | 2019 | 24 | |
| 3 | 2016 | 3 | |
| 4 | 2015 | 17 | |
| 5 | 2014 | 68 | |
| 6 | 2013 | 3 | |
| 7 | 2013 | 34 | |
| 8 | S3ULMU – Prototyp-Infrastruktur für die IT-Unterstützung klinischer Studien am Klinikum der Universität München | 2012 | 1 |
| 9 | A Generic Transformation of HL7 Messages into the Resource Description Framework Data Model. | 2012 | 2 |
| 10 | Konzept für ein deutschlandweites Krankheitsnetz am Beispiel von mitoREGISTER | 2010 | 1 |
| 11 | MEDINFO 2007: Proceedings of the 12th World Congress on Health (Medical) Informatics - Building Sustainable Health Systems | 2007 | 34 |
| 12 | 2006 | 2 | |
| 13 | Mobile IT-Systeme im Gesundheitswesen, mobile Systeme für Patienten | 2005 | 11 |
| 14 | 2004 | 0 | |
| 15 | Zur Architektur und Evolution von Krankenhausinformationssystemen | 2003 | 1 |
| 16 | 2001 | 2 | |
| 17 | 2001 | 105 | |
| 18 | 1997 | 3 | |
| 19 | 1992 | 32 | |
| 20 | 1990 | 42 |
About Klaus A. Kuhn
Klaus A. Kuhn is a scholar working on Health Information Management, Health Informatics and Medical Laboratory Technology, having authored 110 papers that have together received 2.1k indexed citations. Recurring topics across this work include Electronic Health Records Systems (22 papers), Privacy-Preserving Technologies in Data (20 papers), Data Quality and Management (10 papers), Biomedical Text Mining and Ontologies (9 papers), Gallbladder and Bile Duct Disorders (9 papers), Business Process Modeling and Analysis (8 papers), Cryptography and Data Security (8 papers) and Semantic Web and Ontologies (8 papers). The work is most often cited by research in Health Information Management (433 citations), Health Informatics (37 citations) and Medical Laboratory Technology (29 citations). Klaus A. Kuhn has collaborated with scholars based in Germany, United States and United Kingdom. Frequent co-authors include Fabian Praßer, Richard Lenz, Dario A. Giuse, Florian Kohlmayer, Raffael Bild, H. Ditschuneit, P Janowitz, Claudia Eckert, W. Swobodnik and J. G. Wechsler. Their work appears in journals such as SHILAP Revista de lepidopterología, PLoS ONE and Hepatology.
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.