Klaus-Peter Adlassnig

2.1k total citations
84 papers, 1.3k citations indexed

About

Klaus-Peter Adlassnig is a scholar working on Artificial Intelligence, Molecular Biology and Health Information Management. According to data from OpenAlex, Klaus-Peter Adlassnig has authored 84 papers receiving a total of 1.3k indexed citations (citations by other indexed papers that have themselves been cited), including 36 papers in Artificial Intelligence, 24 papers in Molecular Biology and 19 papers in Health Information Management. Recurrent topics in Klaus-Peter Adlassnig's work include Biomedical Text Mining and Ontologies (22 papers), Electronic Health Records Systems (15 papers) and Healthcare Technology and Patient Monitoring (14 papers). Klaus-Peter Adlassnig is often cited by papers focused on Biomedical Text Mining and Ontologies (22 papers), Electronic Health Records Systems (15 papers) and Healthcare Technology and Patient Monitoring (14 papers). Klaus-Peter Adlassnig collaborates with scholars based in Austria, United States and Japan. Klaus-Peter Adlassnig's co-authors include G Kolarz, Werner Scheithauer, Friedrich Steimann, Walter Koller, Alexander Blacky, Matthias Samwald, Harald Leitich, Gerold Porenta, Mojgan Haddad and Yoichi Hayashi and has published in prestigious journals such as PLoS ONE, Expert Systems with Applications and Fuzzy Sets and Systems.

In The Last Decade

Klaus-Peter Adlassnig

78 papers receiving 1.2k 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-Peter Adlassnig Austria 17 656 319 261 201 178 84 1.3k
Marie‐Christine Jaulent France 20 540 0.8× 283 0.9× 594 2.3× 121 0.6× 212 1.2× 175 1.6k
Subramani Mani United States 18 783 1.2× 153 0.5× 415 1.6× 123 0.6× 109 0.6× 36 1.5k
Taxiarchis Botsis United States 20 569 0.9× 387 1.2× 412 1.6× 94 0.5× 141 0.8× 59 1.9k
Carlo Combi Italy 22 855 1.3× 220 0.7× 260 1.0× 117 0.6× 144 0.8× 155 1.9k
Shyam Visweswaran United States 23 721 1.1× 243 0.8× 499 1.9× 53 0.3× 71 0.4× 129 1.9k
Szymon Wilk Poland 19 447 0.7× 213 0.7× 133 0.5× 68 0.3× 90 0.5× 81 986
Guotong Xie China 23 616 0.9× 149 0.5× 237 0.9× 50 0.2× 130 0.7× 172 1.8k
Wei Dong China 21 613 0.9× 282 0.9× 213 0.8× 65 0.3× 29 0.2× 90 1.5k
Dario A. Giuse United States 23 460 0.7× 534 1.7× 369 1.4× 88 0.4× 30 0.2× 79 1.7k
Feichen Shen United States 21 1.2k 1.9× 280 0.9× 965 3.7× 77 0.4× 81 0.5× 67 2.0k

Countries citing papers authored by Klaus-Peter Adlassnig

Since Specialization
Citations

This map shows the geographic impact of Klaus-Peter Adlassnig'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-Peter Adlassnig with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Klaus-Peter Adlassnig more than expected).

Fields of papers citing papers by Klaus-Peter Adlassnig

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Klaus-Peter Adlassnig. 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-Peter Adlassnig. The network helps show where Klaus-Peter Adlassnig may publish in the future.

Co-authorship network of co-authors of Klaus-Peter Adlassnig

This figure shows the co-authorship network connecting the top 25 collaborators of Klaus-Peter Adlassnig. A scholar is included among the top collaborators of Klaus-Peter Adlassnig 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-Peter Adlassnig. Klaus-Peter Adlassnig 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.
Jenders, Robert A., et al.. (2024). Integrated Perspectives on Clinical Decision Support: A Comparative Analysis of Knowledge Management Approaches. Studies in health technology and informatics. 316. 1822–1826.
2.
Chen, Rong, et al.. (2020). A Comparative Study of the Arden Syntax and GDL Clinical Knowledge Representation Languages. Studies in health technology and informatics. 272. 187–190.
3.
Adlassnig, Klaus-Peter, et al.. (2020). Exploring Methods of Implementing Arden Syntax for CDS Hooks. Studies in health technology and informatics. 271. 191–198. 3 indexed citations
4.
Koller, Walter, et al.. (2019). Augmenting Analytics Software for Clinical Microbiology by Man-Machine Interaction. Studies in health technology and informatics. 264. 1243–1247. 1 indexed citations
5.
Schröder, Lutz, et al.. (2018). A detailed analysis of the Arden Syntax expression grammar. Journal of Biomedical Informatics. 83. 196–203. 1 indexed citations
6.
Adlassnig, Klaus-Peter, et al.. (2014). Service-Oriented Fuzzy-Arden-Syntax-Based Clinical Decision Support. 8(2). 75–79. 16 indexed citations
7.
Miñarro-Giménez, José Antonio, Kathrin Blagec, Richard D. Boyce, Klaus-Peter Adlassnig, & Matthias Samwald. (2014). An Ontology-Based, Mobile-Optimized System for Pharmacogenomic Decision Support at the Point-of-Care. PLoS ONE. 9(5). e93769–e93769. 16 indexed citations
8.
Koller, Walter, et al.. (2013). Can we bridge the definition diversity in healthcare-associated infection surveillance? From IT-supported surveillance to IT-supported infection prevention and control. Studies in health technology and informatics. 192. 1112–1112. 1 indexed citations
9.
Assadian, Ojan, Magda Diab‐Elschahawi, Athanasios Makristathis, et al.. (2009). Data correction pre-processing for electronically stored blood culture results: Implications on microbial spectrum and empiric antibiotic therapy. BMC Medical Informatics and Decision Making. 9(1). 27–27. 2 indexed citations
10.
Adlassnig, Klaus-Peter, et al.. (2008). Formal semantics of guarded task structures for clinical practice guidelines. Informatics for Health and Social Care. 33(3). 179–190. 1 indexed citations
11.
Adlassnig, Klaus-Peter, et al.. (2002). Knowledge acquisition in the fuzzy knowledge representation framework of a medical consultation system. Artificial Intelligence in Medicine. 30(1). 1–26. 74 indexed citations
12.
Adlassnig, Klaus-Peter. (2001). Fuzzy systems in medicine.. European Society for Fuzzy Logic and Technology Conference. 2–5. 2 indexed citations
13.
Adlassnig, Klaus-Peter, et al.. (1999). MedExpert/WWW: A Medical Knowledge Base Server. World Conference on WWW and Internet. 1999(1). 1488–1489. 1 indexed citations
14.
Steltzer, H., et al.. (1999). Wissensbasierte Diagnostik und Therapieempfehlung mit Methoden der Fuzzy-Set-Theorie bei Patienten mit akutem Lungenversagen (ARDS). AINS - Anästhesiologie · Intensivmedizin · Notfallmedizin · Schmerztherapie. 34(4). 218–223. 11 indexed citations
15.
Haddad, Mojgan, Klaus-Peter Adlassnig, & Gerold Porenta. (1997). Feasibility analysis of a case-based reasoning system for automated detection of coronary heart disease from myocardial scintigrams. Artificial Intelligence in Medicine. 9(1). 61–78. 44 indexed citations
16.
Adlassnig, Klaus-Peter, et al.. (1997). A WWW-accessible knowledge base for the interpretation of hepatitis serologic tests. International Journal of Medical Informatics. 47(1-2). 57–60. 8 indexed citations
17.
Leitich, Harald, et al.. (1996). Knowledge Acquisition in MedFrame/Cadiag: A Generalized Fuzzy Approach.. Europe PMC (PubMed Central). 833–833. 1 indexed citations
18.
Adlassnig, Klaus-Peter, et al.. (1995). An Overview of CADIAG-4: A Medical Diagnostic and Therapeutic Consultation System. PubMed Central. 963–963. 2 indexed citations
19.
Adlassnig, Klaus-Peter, et al.. (1991). Medical informatics Europe 1991 : proceedings, Vienna, Austria, August 19-22, 1991. Springer eBooks. 1 indexed citations
20.
Adlassnig, Klaus-Peter & Werner Scheithauer. (1989). Performance evaluation of medical expert systems using ROC curves. Computers and Biomedical Research. 22(4). 297–313. 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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