Hans Åhlfeldt
- Surgery top 10%
- Molecular Biology
- Health Information Management top 0.5%
- Artificial Intelligence top 10%
- Cardiology and Cardiovascular Medicine top 10%
- Co-authors
- Lisa RidderstolpeHans GillHans RutbergHans GranfeldtGunnar NilssonHåkan PeterssonMikael NyströmDaniel Karlsson
- Topics
- Biomedical Text Mining and Ontologies (25 papers)Electronic Health Records Systems (14 papers)Semantic Web and Ontologies (13 papers)
- Journals
- The American Journal of CardiologyComputer Methods and Programs in BiomedicineComputers in Biology and Medicine
- Partner nations
- SwedenUnited KingdomFrance
In The Last Decade
Hans Åhlfeldt
60 papers receiving 902 citations
Peers
Comparison fields: 5 of 127
- Surgery 372
- Molecular Biology 212
- Health Information Management 198
- Artificial Intelligence 162
- Cardiology and Cardiovascular Medicine 155
Countries citing papers authored by Hans Åhlfeldt
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
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
| # | Work | Indexed citations |
|---|---|---|
| 1 | 9 | |
| 2 | 26 | |
| 3 | 7 | |
| 4 | 2 | |
| 5 | 26 | |
| 6 | An approach for generating fuzzy rules from decision trees. | 1 |
| 7 | 14 | |
| 8 | SemanticMining - A network of excellence in the field of biomedical informatics | 0 |
| 9 | 12 | |
| 10 | 28 | |
| 11 | Evaluation of three Swedish ICD-10 primary care versions : reliability and ease of use in diagnostic codig | 2 |
| 12 | 18 | |
| 13 | 380 | |
| 14 | 4 | |
| 15 | Design and Implementation of a World Wide Web Accessible Database for the Swedish ICD-10 Primary Care Version Using a Concept System Approach. | 1 |
| 16 | Machine learning to support diagnostics in the domain of asymptomatic liver disease. | 3 |
| 17 | 6 | |
| 18 | 6 | |
| 19 | 16 | |
| 20 | 3 |
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) and Semantic Web and Ontologies (13 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 The American Journal of Cardiology, Computer Methods and Programs in Biomedicine and Computers in Biology and Medicine.
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.