Klaus A. Kuhn

3.6k total citations
110 papers, 2.1k citations indexed

About

Klaus A. Kuhn is a scholar working on Artificial Intelligence, Health Information Management and Surgery. According to data from OpenAlex, Klaus A. Kuhn has authored 110 papers receiving a total of 2.1k indexed citations (citations by other indexed papers that have themselves been cited), including 32 papers in Artificial Intelligence, 25 papers in Health Information Management and 20 papers in Surgery. Recurrent topics in Klaus A. Kuhn's work include Electronic Health Records Systems (22 papers), Privacy-Preserving Technologies in Data (20 papers) and Data Quality and Management (10 papers). Klaus A. Kuhn is often cited by papers focused on Electronic Health Records Systems (22 papers), Privacy-Preserving Technologies in Data (20 papers) and Data Quality and Management (10 papers). Klaus A. Kuhn collaborates with scholars based in Germany, United States and United Kingdom. Klaus A. Kuhn's co-authors include Fabian Praßer, Richard Lenz, Dario A. Giuse, Florian Kohlmayer, Raffael Bild, H. Ditschuneit, P Janowitz, Claudia Eckert, J. G. Wechsler and W. Swobodnik and has published in prestigious journals such as SHILAP Revista de lepidopterología, PLoS ONE and Hepatology.

In The Last Decade

Klaus A. Kuhn

104 papers receiving 2.0k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Klaus A. Kuhn Germany 29 534 433 318 299 273 110 2.1k
Vasa Ćurčin United Kingdom 29 496 0.9× 385 0.9× 441 1.4× 278 0.9× 317 1.2× 140 3.0k
Hans‐Ulrich Prokosch Germany 27 530 1.0× 1.0k 2.4× 690 2.2× 159 0.5× 660 2.4× 214 3.4k
Elmer V. Bernstam United States 29 696 1.3× 714 1.6× 897 2.8× 121 0.4× 554 2.0× 139 3.7k
Hee Hwang South Korea 30 183 0.3× 414 1.0× 465 1.5× 579 1.9× 235 0.9× 202 3.8k
Justin Starren United States 37 501 0.9× 634 1.5× 614 1.9× 157 0.5× 857 3.1× 137 4.7k
Ida Sim United States 35 790 1.5× 1.2k 2.7× 1.0k 3.3× 233 0.8× 917 3.4× 112 4.9k
John Fox United Kingdom 25 523 1.0× 414 1.0× 574 1.8× 147 0.5× 490 1.8× 94 2.6k
Shabbir Syed-Abdul Taiwan 30 345 0.6× 277 0.6× 192 0.6× 242 0.8× 328 1.2× 115 2.9k
Reinhold Haux Germany 30 327 0.6× 1.7k 4.0× 561 1.8× 172 0.6× 502 1.8× 234 3.8k
Dario A. Giuse United States 23 460 0.9× 534 1.2× 369 1.2× 52 0.2× 156 0.6× 79 1.7k

Countries citing papers authored by Klaus A. Kuhn

Since Specialization
Citations

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

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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 of co-authors of Klaus A. Kuhn

This figure shows the co-authorship network connecting the top 25 collaborators of Klaus A. Kuhn. A scholar is included among the top collaborators of Klaus A. Kuhn 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 Klaus A. Kuhn. Klaus A. Kuhn 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.
Bild, Raffael, Klaus A. Kuhn, & Fabian Praßer. (2020). Better Safe than Sorry – Implementing Reliable Health Data Anonymization. Studies in health technology and informatics. 270. 68–72. 4 indexed citations
2.
Praßer, Fabian, et al.. (2019). Privacy-enhancing ETL-processes for biomedical data. International Journal of Medical Informatics. 126. 72–81. 24 indexed citations
3.
Praßer, Fabian, et al.. (2016). Lightning: Utility-Driven Anonymization of High-Dimensional Data. 9(2). 161–185. 21 indexed citations
4.
Schmidt, Stefan, et al.. (2015). Mindfulness-based Stress Reduction (MBSR) as Treatment for Chronic Back Pain - an Observational Study with Assessment of Thalamocortical Dysrhythmia. Complementary Medicine Research. 22(5). 298–303. 17 indexed citations
5.
Gorzelniak, Lukas, Dennis Nowak, Ralf Strobl, et al.. (2014). Associations between Multiple Accelerometry-Assessed Physical Activity Parameters and Selected Health Outcomes in Elderly People – Results from the KORA-Age Study. PLoS ONE. 9(11). e111206–e111206. 29 indexed citations
6.
Lauss, Georg, Christina Schröder, Peter Dabrock, et al.. (2013). Towards Biobank Privacy Regimes in Responsible Innovation Societies: ESBB Conference in Granada 2012. Biopreservation and Biobanking. 11(5). 319–323. 3 indexed citations
7.
Praßer, Fabian, Florian Kohlmayer, Alfons Kemper, & Klaus A. Kuhn. (2012). A Generic Transformation of HL7 Messages into the Resource Description Framework Data Model.. GI-Jahrestagung. 1559–1564. 2 indexed citations
8.
Praßer, Fabian, et al.. (2012). S3ULMU – Prototyp-Infrastruktur für die IT-Unterstützung klinischer Studien am Klinikum der Universität München. GI-Jahrestagung. 1260–1274. 1 indexed citations
9.
Klopstock, Thomas, et al.. (2010). Konzept für ein deutschlandweites Krankheitsnetz am Beispiel von mitoREGISTER. GI Jahrestagung (2). 746–751. 1 indexed citations
10.
Praßer, Fabian, et al.. (2009). Einsatz von Dataspaces für die inkrementelle Informationsintegration in der Medizin.. 40(6). 709–715.
11.
Lochmüller, Hanns, Ségolène Aymé, Francesca Pampinella, et al.. (2009). The Role of Biobanking in Rare Diseases: European Consensus Expert Group Report. Biopreservation and Biobanking. 7(3). 155–156. 28 indexed citations
12.
Kuhn, Klaus A., et al.. (2007). MEDINFO 2007: Proceedings of the 12th World Congress on Health (Medical) Informatics - Building Sustainable Health Systems. IOS Press eBooks. 129. 34 indexed citations
13.
Bott, Oliver J., et al.. (2006). Section 3: Health Information Systems: Expanding the Scope of Health Information Systems. Yearbook of Medical Informatics. 15(1). 43–52. 2 indexed citations
14.
Leimeister, Jan Marco, Helmut Krcmar, Alexander Horsch, & Klaus A. Kuhn. (2005). Mobile IT-Systeme im Gesundheitswesen, mobile Systeme für Patienten. Alexandria (UniSG) (University of St.Gallen). 244. 11 indexed citations
15.
Lenz, Richard & Klaus A. Kuhn. (2004). Aspekte einer prozessorientierten Systemarchitektur für Informationssysteme im Gesundheitswesen. GI Jahrestagung (2). 10(16). 530–536.
16.
Lenz, Richard & Klaus A. Kuhn. (2003). Zur Architektur und Evolution von Krankenhausinformationssystemen. GI Jahrestagung (2). 435–444. 1 indexed citations
17.
Lenz, Richard, et al.. (2001). Experiences with a Holistic Health Information System.. American Medical Informatics Association Annual Symposium. 405(6787). 952–952. 2 indexed citations
18.
Giuse, Dario A. & Klaus A. Kuhn. (2001). From Hospital Information Systems to Health Information Systems - Problems, Challenges, Perspectives. Yearbook of Medical Informatics. 10(1). 63–76. 105 indexed citations
19.
Kuhn, Klaus A., Manfred Reichert, & Peter Dadam. (1995). Unterstützung der klinischen Kooperation durch Workflow-ManagementSysteme - Anforderungen, Probleme, Perspektiven. Neurosurgery. 64(5 Suppl 2). 343–8; discussion 348. 1 indexed citations
20.
Janowitz, P, et al.. (1990). Comparison of gall bladder bile and endoscopically obtained duodenal bile.. Gut. 31(12). 1407–1410. 42 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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