Hans Åhlfeldt

1.3k citations
64 papers · 976 indexed · h-index 15

Hans Åhlfeldt

60 papers receiving 902 citations

Peers

Hans Åhlfeldt
Comparison fields: 5 of 127
  • Health Information Management 198
  • Medical Terminology 6
  • Issues, ethics and legal aspects 14
  • Surgery 372
  • Cardiology and Cardiovascular Medicine 155
Replace H. R. Warner with:
H. R. Warner United States
J. Dudeck Germany
Andrew D. Boyd United States
Ove Wigertz Sweden
Jonathan C. Silverstein United States
H C Chueh United States
Gloria Lipori United States
Romaric Marcilly France
Se Young Jung South Korea
Andrew Grant Canada
Hans Åhlfeldt relative to H. R. Warner United States H. R. Warner's profile →
Citations per field
00.5×12.3×
H. R. Warner · 1×
Citations per year

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

The 25 scholars most cited alongside Hans Åhlfeldt, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Hans Åhlfeldt Line = papers co-authored together Hans Åhlfeldt links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown
#Work
1 20109
2 201026
3 20087
4 20082
5 200726
6
An approach for generating fuzzy rules from decision trees.
20061
7 200614
8
SemanticMining - A network of excellence in the field of biomedical informatics
20050
9 200312
10 200328
11
Evaluation of three Swedish ICD-10 primary care versions : reliability and ease of use in diagnostic codig
20022
12 200218
13 2001380
14 20004
15
Design and Implementation of a World Wide Web Accessible Database for the Swedish ICD-10 Primary Care Version Using a Concept System Approach.
19971
16
Machine learning to support diagnostics in the domain of asymptomatic liver disease.
19953
17 19956
18 19946
19 199316
20 19893

About Hans Åhlfeldt

Hans Åhlfeldt is a scholar working on Health Information Management, Issues, ethics and legal aspects and Artificial Intelligence, having authored 64 papers that have together received 976 indexed citations. Recurring topics across this work include Biomedical Text Mining and Ontologies (25 papers), Electronic Health Records Systems (14 papers), Semantic Web and Ontologies (13 papers), Medical Coding and Health Information (7 papers), Cardiac electrophysiology and arrhythmias (5 papers), linguistics and terminology studies (5 papers), AI in cancer detection (4 papers) and Clinical practice guidelines implementation (3 papers). The work is most often cited by research in Health Information Management (198 citations), Medical Terminology (6 citations) and Issues, ethics and legal aspects (14 citations). Hans Åhlfeldt has collaborated with scholars based in Sweden, United Kingdom and France. Frequent 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. Their work appears in journals such as BMC Medical Informatics and Decision Making, Journal of Medical Systems, Methods of Information in Medicine, Pacing and Clinical Electrophysiology and International Journal of Medical Informatics.

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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