Hans Moen
- Artificial Intelligence top 5%
- Molecular Biology
- Health Informatics top 1%
- Health Information Management top 2%
- Emergency Medicine top 10%
- Co-authors
- Filip GinterT. SalakoskiSophia AnaniadouSampo PyysaloLaura‐Maria PeltonenSanna SalanteräTapio SalakoskiMaxim Topaz
- Topics
- Topic Modeling (18 papers)Biomedical Text Mining and Ontologies (12 papers)Natural Language Processing Techniques (11 papers)
- Journals
- PLoS ONEJournal of the American Medical Informatics AssociationInternational Journal of Nursing Studies
- Partner nations
- FinlandNorwayUnited States
In The Last Decade
Hans Moen
46 papers receiving 791 citations
Peers
Comparison fields: 5 of 107
- Artificial Intelligence 464
- Molecular Biology 333
- Health Informatics 137
- Health Information Management 78
- 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-authorship network of co-authors of Hans Moen
This figure shows the co-authorship network connecting the top 25 collaborators of Hans Moen. A scholar is included among the top collaborators of Hans Moen 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 Moen. Hans Moen is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 0 | |
| 2 | 0 | |
| 3 | 6 | |
| 4 | 9 | |
| 5 | 16 | |
| 6 | 2 | |
| 7 | 7 | |
| 8 | 5 | |
| 9 | 1 | |
| 10 | Entity-Pair Embeddings for Improving Relation Extraction in the Biomedical Domain. | 1 |
| 11 | 14 | |
| 12 | 42 | |
| 13 | 1 | |
| 14 | 2 | |
| 15 | 40 | |
| 16 | 63 | |
| 17 | NTNU-CORE: Combining strong features for semantic similarity | 5 |
| 18 | Towards Dynamic Word Sense Discrimination with Random Indexing | 4 |
| 19 | 13 | |
| 20 | [Experiences with scoring systems SAPS II and NEMS for registration of activities in an intensive care unit]. | 2 |
About Hans Moen
Hans Moen is a scholar working on Issues, ethics and legal aspects, Health Informatics and Health Information Management, 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) and Natural Language Processing Techniques (11 papers). The work is most often cited by research in Health Informatics (137 citations), Issues, ethics and legal aspects (31 citations) and Health Information Management (78 citations). Hans Moen has collaborated with scholars based in Finland, Norway and United States. Frequent co-authors include Filip Ginter, T. Salakoski, Sophia Ananiadou, Sampo Pyysalo, Laura‐Maria Peltonen, Sanna Salanterä, Tapio Salakoski, Maxim Topaz, Maria Skeppstedt and Aron Henriksson. Their work appears in journals such as PLoS ONE, Journal of the American Medical Informatics Association and International Journal of Nursing Studies.
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.