Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies
if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the
same subfield and year (this is the minimum needed to enter the top 1%, not the average
within it), or reaches the top citation threshold in at least one of its specific research
topics.
A Review of 25 Years of CSCW Research in Healthcare: Contributions, Challenges and Future Agendas
Countries citing papers authored by Gunnar Ellingsen
Since
Specialization
Citations
This map shows the geographic impact of Gunnar Ellingsen'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 Gunnar Ellingsen with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Gunnar Ellingsen more than expected).
Fields of papers citing papers by Gunnar Ellingsen
This network shows the impact of papers produced by Gunnar Ellingsen. 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 Gunnar Ellingsen. The network helps show where Gunnar Ellingsen may publish in the future.
Co-authorship network of co-authors of Gunnar Ellingsen
This figure shows the co-authorship network connecting the top 25 collaborators of Gunnar Ellingsen.
A scholar is included among the top collaborators of Gunnar Ellingsen 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 Gunnar Ellingsen. Gunnar Ellingsen is excluded from
the visualization to improve readability, since they are connected to all nodes in the network.
Ekeland, Anne Granstrøm & Gunnar Ellingsen. (2017). Assessing an Electronic Health Record (EHR): How Do Basic Assumptions in Traditional Health Technology Assessment (HTA), and Empirical Features Fit?. 9(1). 1–10.1 indexed citations
9.
Ellingsen, Gunnar, et al.. (2016). The Implication for Organisation and Governance Through User-Drivern Standardisation of Semantic Interoperable Electronic Patient Record Systems. MCIS. 63.1 indexed citations
Ellingsen, Gunnar & Pernille Bjørn. (2014). Special Issue Editorial. Information Infrastructures in Healthcare. Action Research, Interventions, and Participatory Design. Journal of the Association for Information Systems. 26(2). 2.1 indexed citations
12.
Ellingsen, Gunnar, et al.. (2014). USER-CONTROLLED STANDARDISATION OF HEALTH CARE PRACTICES. Journal of the Association for Information Systems.3 indexed citations
13.
Adjorlolo, Samuel & Gunnar Ellingsen. (2013). Readiness Assessment for Implementation of Electronic Patient Record in Ghana: A Case of University of Ghana Hospital. 7(2).26 indexed citations
14.
Ellingsen, Gunnar, et al.. (2012). Nursing Terminologies as Evolving Large-Scale Information Infrastructures. Scandinavian Journal of Information Systems. 24(1). 3.5 indexed citations
15.
Hanseth, Ole, et al.. (2012). ICT STANDARDIZATION STRATEGIES AND SERVICE INNOVATION IN HEALTH CARE .. International Conference on Information Systems.14 indexed citations
Ellingsen, Gunnar, et al.. (2011). Standardization in nursing practice: crosscontextual information sharing.. European Conference on Information Systems. 139.1 indexed citations
Ellingsen, Gunnar. (2003). Coordinating work in hospitals through a global tool: implications for the implementation of electronic patient records in hospitals. Journal of the Association for Information Systems. 15(1). 39–54.13 indexed citations
20.
Lærum, Hallvard, Gunnar Ellingsen, & Arild Faxvaag. (2002). Elektronisk pasientjournal ved somatiske sykehus – utbredelse og klinisk bruk. Tidsskrift for Den Norske Laegeforening.1 indexed citations
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.