Hans Moen
Impact in
- Health Informatics top 1%
- Artificial Intelligence in Healthcare and Education
Papers in
-
- Topic Modeling 18
- Natural Language Processing Techniques 11
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- Biomedical Text Mining and Ontologies 12
- Co-authors
- Filip Ginter (10 shared papers)Sampo Pyysalo (1 shared paper)T. Salakoski (1 shared paper)Sophia Ananiadou (1 shared paper)Laura‐Maria Peltonen (17 shared papers)Sanna Salanterä (19 shared papers)Tapio Salakoski (16 shared papers)Maxim Topaz (9 shared papers)
- Journals
- Journal of Biomedical Semantics (2 papers)BMC Medical Informatics and Decision Making (2 papers)Journal of the American Medical Informatics Association (2 papers)JAMA Network Open (1 paper)IET Radar Sonar & Navigation (1 paper)
- Partner nations
- FinlandNorwayUnited States
In The Last Decade
Hans Moen
46 papers receiving 791 citations
Peers
Comparison fields: 5 of 107
- Health Informatics 137
- Issues, ethics and legal aspects 31
- Health Information Management 78
- Artificial Intelligence 464
- Emergency Medicine 58
Countries citing papers authored by Hans Moen
This map shows the geographic impact of Hans Moen'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 Moen with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Hans Moen more than expected).
Fields of papers citing papers by Hans Moen
This network shows the impact of papers produced by Hans Moen. 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 Moen. The network helps show where Hans Moen may publish in the future.
Co-authors
The 25 scholars most cited alongside Hans Moen, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 50 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | Distributional Semantics Resources for Biomedical Text Processing | 2013 | 266 |
| 2 | 2021 | 182 | |
| 3 | 2014 | 63 | |
| 4 | 2020 | 42 | |
| 5 | 2016 | 40 | |
| 6 | 2015 | 35 | |
| 7 | 2020 | 17 | |
| 8 | 2023 | 16 | |
| 9 | 2020 | 14 | |
| 10 | 2012 | 13 | |
| 11 | 2019 | 11 | |
| 12 | 2023 | 10 | |
| 13 | 2024 | 9 | |
| 14 | 2022 | 7 | |
| 15 | 2022 | 7 | |
| 16 | On Evaluation of Automatically Generated Clinical Discharge Summaries. | 2014 | 7 |
| 17 | 2024 | 6 | |
| 18 | 2022 | 6 | |
| 19 | NTNU-CORE: Combining strong features for semantic similarity | 2013 | 5 |
| 20 | 2022 | 5 |
About Hans Moen
Hans Moen is a scholar working on Artificial Intelligence, Molecular Biology, General Health Professions, Health Information Management and Issues, ethics and legal aspects, having authored 50 papers that have together received 824 indexed citations. Recurring topics across this work include Topic Modeling (18 papers), Biomedical Text Mining and Ontologies (12 papers), Natural Language Processing Techniques (11 papers), Nursing Diagnosis and Documentation (6 papers), Interpreting and Communication in Healthcare (5 papers), Radar Systems and Signal Processing (4 papers), Electronic Health Records Systems (4 papers) and Emergency and Acute Care Studies (4 papers). The work is most often cited by research in Health Informatics (137 citations), Issues, ethics and legal aspects (31 citations), Health Information Management (78 citations), Artificial Intelligence (464 citations) and Emergency Medicine (58 citations). Hans Moen has collaborated with scholars based in Finland, Norway and United States. Frequent co-authors include Filip Ginter, Sampo Pyysalo, T. Salakoski, Sophia Ananiadou, Laura‐Maria Peltonen, Sanna Salanterä, Tapio Salakoski, Maxim Topaz, Aron Henriksson and Maria Skeppstedt. Their work appears in journals such as Journal of Biomedical Semantics, BMC Medical Informatics and Decision Making, Journal of the American Medical Informatics Association, JAMA Network Open and IET Radar Sonar & Navigation.
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.