Hans Åhlfeldt

1.3k total citations
64 papers, 976 citations indexed

About

Hans Åhlfeldt is a scholar working on Molecular Biology, Artificial Intelligence and Health Information Management. According to data from OpenAlex, Hans Åhlfeldt has authored 64 papers receiving a total of 976 indexed citations (citations by other indexed papers that have themselves been cited), including 29 papers in Molecular Biology, 22 papers in Artificial Intelligence and 21 papers in Health Information Management. Recurrent topics in Hans Åhlfeldt's work include Biomedical Text Mining and Ontologies (25 papers), Electronic Health Records Systems (14 papers) and Semantic Web and Ontologies (13 papers). Hans Åhlfeldt is often cited by papers focused on Biomedical Text Mining and Ontologies (25 papers), Electronic Health Records Systems (14 papers) and Semantic Web and Ontologies (13 papers). Hans Åhlfeldt collaborates with scholars based in Sweden, United Kingdom and France. Hans Åhlfeldt's co-authors include Lisa Ridderstolpe, Hans Gill, Hans Rutberg, Hans Granfeldt, Gunnar Nilsson, Håkan Petersson, Mikael Nyström, Daniel Karlsson, Ove Wigertz and Amir Reza Razavi and has published in prestigious journals such as The American Journal of Cardiology, Computer Methods and Programs in Biomedicine and Computers in Biology and Medicine.

In The Last Decade

Hans Åhlfeldt

60 papers receiving 902 citations

Peers

Hans Åhlfeldt

SURGE

HIM

CCM

Andrew Grant Canada

H. R. Warner United States

Jonathan C. Silverstein United States

Todd Ferris United States

Gloria Lipori United States

Pasquale De Cata Italy

J. Dudeck Germany

David Sutton United Kingdom

Giordano Lanzola Italy

Anil Pandit United States

Andrew Grant Canada

Hans Åhlfeldt

299 ×0.8

SURGE

177 ×0.8

108 ×0.5

HIM

43 ×0.3

159 ×1.0

CCM

Citations per year, relative to Hans Åhlfeldt Hans Åhlfeldt (= 1×) peers Andrew Grant

Countries citing papers authored by Hans Åhlfeldt

Since Specialization

Citations

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

Fields of papers citing papers by Hans Åhlfeldt

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Hans Åhlfeldt. 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 Hans Åhlfeldt. The network helps show where Hans Åhlfeldt may publish in the future.

Co-authorship network of co-authors of Hans Åhlfeldt

This figure shows the co-authorship network connecting the top 25 collaborators of Hans Åhlfeldt. A scholar is included among the top collaborators of Hans Åhlfeldt 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 Hans Åhlfeldt. Hans Åhlfeldt is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

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20 of 20 papers shown

Vikström, Anna, Mikael Nyström, Hans Åhlfeldt, Lars‐Erik Strender, & Gunnar Nilsson. (2010). Views of diagnosis distribution in primary care in 2.5 millionencounters in Stockholm: a comparison between ICD-10 and SNOMED CT. Journal of Innovation in Health Informatics. 18(1). 17–29. 9 indexed citations

Nyström, Mikael, et al.. (2010). Enriching a primary health care version of ICD-10 using SNOMED CT mapping. Journal of Biomedical Semantics. 1(1). 7–7. 26 indexed citations

Razavi, Amir Reza, et al.. (2008). Non-compliance with a postmastectomy radiotherapy guideline: Decision tree and cause analysis. BMC Medical Informatics and Decision Making. 8(1). 41–41. 7 indexed citations

Nilsson, Gunnar, Jörgen Månsson, Hans Åhlfeldt, Ronny Gunnarsson, & Lars‐Erik Strender. (2008). Patients, general practitioners, diseases and health problems in urban general practice: a cross-sectional study on electronic patient records. Primary Health Care Research & Development. 9(2). 2 indexed citations

Razavi, Amir Reza, et al.. (2007). Predicting Metastasis in Breast Cancer: Comparing a Decision Tree with Domain Experts. Journal of Medical Systems. 31(4). 263–273. 26 indexed citations

Razavi, Amir Reza, et al.. (2006). An approach for generating fuzzy rules from decision trees.. PubMed. 124. 581–6. 1 indexed citations

Nyström, Mikael, Magnus Merkel, Lars Ahrenberg, et al.. (2006). Creating a medical English-Swedish dictionary using interactive word alignment. BMC Medical Informatics and Decision Making. 6(1). 35–35. 14 indexed citations

Åhlfeldt, Hans. (2005). SemanticMining - A network of excellence in the field of biomedical informatics. ERCIM news/ERCIM news online edition. 60.

Ridderstolpe, Lisa, et al.. (2003). Priority setting in cardiac surgery: a survey of decision making and ethical issues. Journal of Medical Ethics. 29(6). 353–358. 12 indexed citations

10.

Nilsson, Gunnar, et al.. (2003). Textual content, health problems and diagnostic codes in electronic patient records in general practice. Scandinavian Journal of Primary Health Care. 21(1). 33–36. 28 indexed citations

11.

Nilsson, Gunnar, et al.. (2002). Evaluation of three Swedish ICD-10 primary care versions : reliability and ease of use in diagnostic codig. Yearbook of Medical Informatics. 377–383. 2 indexed citations

12.

Lind, Leili, et al.. (2002). Requirements and prototyping of a home health care application based on emerging java technology. International Journal of Medical Informatics. 68(1-3). 129–139. 18 indexed citations

13.

Ridderstolpe, Lisa, Hans Gill, Hans Granfeldt, Hans Åhlfeldt, & Hans Rutberg. (2001). Superficial and deep sternal wound complications: incidence, risk factors and mortality. European Journal of Cardio-Thoracic Surgery. 20(6). 1168–1175. 380 indexed citations

14.

Carlsson, Mats, et al.. (2000). Modelling and reclassification of surgical procedures - experiences from the use of GALEN methods in the domain of thoracic surgery. Medical Informatics and the Internet in Medicine. 25(2). 109–122. 4 indexed citations

15.

Petersson, Håkan, et al.. (1997). Design and Implementation of a World Wide Web Accessible Database for the Swedish ICD-10 Primary Care Version Using a Concept System Approach.. Europe PMC (PubMed Central). 885–885. 1 indexed citations

16.

Babić, Ankica, G. Bodemar, Ulrik Mathiesen, et al.. (1995). Machine learning to support diagnostics in the domain of asymptomatic liver disease.. PubMed. 8 Pt 1. 809–13. 3 indexed citations

17.

Gao, Xiaotian, et al.. (1995). Query-handling in MLM-based decision support systems. Medical Informatics. 20(3). 229–240. 6 indexed citations

18.

Åhlfeldt, Hans, et al.. (1994). Experiences from the use of data-driven decision support in different environments. Computers in Biology and Medicine. 24(5). 397–404. 6 indexed citations

19.

Johansson, Bo, et al.. (1993). Pre-compiling medical logic modules into C++ in building medical decision support systems. Computer Methods and Programs in Biomedicine. 41(2). 107–119. 16 indexed citations

20.

Åhlfeldt, Hans, et al.. (1989). Deduction of Triphasic Phase Response Curves from Ventricular Parasystole. Pacing and Clinical Electrophysiology. 12(7). 1104–1114. 3 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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