Hans Moen

54 papers receiving 901 citations

Hans Moen's Hit Papers

Artificial Intelligence -based technologies in nursing: A scoping literature review of the evidence 2021 · 211 citations
2110+1+3Years since publication50100150200

Peers

Hans Moen
Comparison fields: 5 of 106
  • Health Informatics 116
  • Issues, ethics and legal aspects 15
  • Artificial Intelligence 422
  • Health Information Management 49
  • Molecular Biology 307
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Countries citing papers authored by Hans Moen

Since Specialization
Citations

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

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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.

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 59 papers — load more, or switch the sort, to bring in the rest.

#Work
1
Distributional Semantics Resources for Biomedical Text Processing
2013296
2
Artificial Intelligence -based technologies in nursing: A scoping literature review of the evidence
Hit paper breakdown →
2021211
3 201475
4 202044
5 201644
6 201538
7 202318
8 202018
9 202014
10 201214
11 201911
12 202310
13 20249
14 20228
15 20248
16 20138
17 20227
18 20207
19
On Evaluation of Automatically Generated Clinical Discharge Summaries.
20147
20
NTNU-CORE: Combining strong features for semantic similarity
20136

About Hans Moen

Hans Moen is a scholar working on Artificial Intelligence, Molecular Biology, Issues, ethics and legal aspects, Aerospace Engineering and General Health Professions, having authored 59 papers that have together received 938 indexed citations. Recurring topics across this work include Topic Modeling (18 papers), Natural Language Processing Techniques (13 papers), Biomedical Text Mining and Ontologies (10 papers), Nursing Diagnosis and Documentation (5 papers), Advanced Text Analysis Techniques (4 papers), Radar Systems and Signal Processing (4 papers), Electronic Health Records Systems (3 papers) and Emergency and Acute Care Studies (3 papers). The work is most often cited by research in Health Informatics (116 citations), Issues, ethics and legal aspects (15 citations), Artificial Intelligence (422 citations), Health Information Management (49 citations) and Molecular Biology (307 citations). Hans Moen has collaborated with scholars based in Finland, Norway and United States. Frequent co-authors include Filip Ginter, Sophia Ananiadou, Sampo Pyysalo, T. Salakoski, Sanna Salanterä, Tapio Salakoski, Maxim Topaz, Laura‐Maria Peltonen, Aron Henriksson and Hanna von Gerich. Their work appears in journals such as Journal of Biomedical Semantics, Journal of the American Medical Informatics Association, BMC Medical Informatics and Decision Making, International Journal of Nursing Studies 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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