Stig Kjær Andersen

2.2k total citations
53 papers, 1.4k citations indexed

About

Stig Kjær Andersen is a scholar working on Artificial Intelligence, Health Information Management and Molecular Biology. According to data from OpenAlex, Stig Kjær Andersen has authored 53 papers receiving a total of 1.4k indexed citations (citations by other indexed papers that have themselves been cited), including 17 papers in Artificial Intelligence, 11 papers in Health Information Management and 7 papers in Molecular Biology. Recurrent topics in Stig Kjær Andersen's work include Electronic Health Records Systems (10 papers), Bayesian Modeling and Causal Inference (8 papers) and Biomedical Text Mining and Ontologies (7 papers). Stig Kjær Andersen is often cited by papers focused on Electronic Health Records Systems (10 papers), Bayesian Modeling and Causal Inference (8 papers) and Biomedical Text Mining and Ontologies (7 papers). Stig Kjær Andersen collaborates with scholars based in Denmark, Finland and Sweden. Stig Kjær Andersen's co-authors include Kristian G. Olesen, Finn V. Jensen, Frank Jensen, Steen Andreassen, Björn Falck, Christian Nøhr, Søren Vingtoft, Egon Toft, Birthe Dinesen and Ole Hejlesen and has published in prestigious journals such as PLoS ONE, Artificial Intelligence and International Journal of Medical Informatics.

In The Last Decade

Stig Kjær Andersen

51 papers receiving 1.2k citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Stig Kjær Andersen Denmark 13 782 205 151 144 109 53 1.4k
Peter Lucas Netherlands 28 1.2k 1.5× 150 0.7× 267 1.8× 244 1.7× 178 1.6× 202 2.5k
Richard E. Neapolitan United States 18 766 1.0× 175 0.9× 272 1.8× 45 0.3× 100 0.9× 56 1.5k
Stefania Montani Italy 25 767 1.0× 87 0.4× 294 1.9× 259 1.8× 78 0.7× 112 2.0k
Lawrence M. Fagan United States 21 714 0.9× 83 0.4× 306 2.0× 240 1.7× 60 0.6× 69 1.2k
Jack W. Smith United States 17 874 1.1× 102 0.5× 207 1.4× 351 2.4× 35 0.3× 78 1.8k
Harry E. Pople United States 10 755 1.0× 102 0.5× 258 1.7× 203 1.4× 31 0.3× 20 1.3k
Gang Luo United States 25 818 1.0× 122 0.6× 172 1.1× 190 1.3× 202 1.9× 139 2.0k
Annette ten Teije Netherlands 19 740 0.9× 106 0.5× 278 1.8× 138 1.0× 45 0.4× 81 1.1k
Laura E. Brown United States 14 1.0k 1.3× 226 1.1× 238 1.6× 41 0.3× 71 0.7× 41 1.9k
Kristian G. Olesen Denmark 14 889 1.1× 181 0.9× 103 0.7× 45 0.3× 187 1.7× 36 1.2k

Countries citing papers authored by Stig Kjær Andersen

Since Specialization
Citations

This map shows the geographic impact of Stig Kjær Andersen'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 Stig Kjær Andersen with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Stig Kjær Andersen more than expected).

Fields of papers citing papers by Stig Kjær Andersen

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Stig Kjær Andersen. 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 Stig Kjær Andersen. The network helps show where Stig Kjær Andersen may publish in the future.

Co-authorship network of co-authors of Stig Kjær Andersen

This figure shows the co-authorship network connecting the top 25 collaborators of Stig Kjær Andersen. A scholar is included among the top collaborators of Stig Kjær Andersen 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 Stig Kjær Andersen. Stig Kjær Andersen is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
1.
Cornet, Ronald, et al.. (2015). Clustering clinical models from local electronic health records based on semantic similarity. Journal of Biomedical Informatics. 54. 294–304. 14 indexed citations
2.
Lovis, Christian, et al.. (2014). e-Health - for Continuity of Care: Proceedings of MIE2014. Archive ouverte UNIGE (University of Geneva). 4 indexed citations
3.
Andersen, Stig Kjær, et al.. (2013). Directed Reduction Algorithms and Decomposable Graphs. arXiv (Cornell University). 197–208. 2 indexed citations
4.
Moen, Anne, et al.. (2011). User centred networked health care: proceedings of MIE 2011. 5 indexed citations
5.
Glintborg, Bente, Stig Kjær Andersen, & Henrik E. Poulsen. (2010). Prescription data improve the medication history in primary care. BMJ Quality & Safety. 19(3). 164–168. 12 indexed citations
6.
Dinesen, Birthe, et al.. (2008). Under Surveillance, Yet Looked After: Telehomecare as Viewed by Patients and Their Spouse/Partners. European Journal of Cardiovascular Nursing. 7(3). 239–246. 33 indexed citations
7.
Nøhr, Christian, et al.. (2007). Diffusion of electronic health records--six years of empirical data.. PubMed. 129(Pt 2). 963–7. 8 indexed citations
8.
Dinesen, Birthe, et al.. (2007). Implementation of the concept of home hospitalisation for heart patients by means of telehomecare technology: integration of clinical tasks. International Journal of Integrated Care. 7(2). e17–e17. 10 indexed citations
9.
Andersen, Stig Kjær, et al.. (2005). Comparing different approaches to two-level modelling of electronic health records.. PubMed. 116. 113–8. 13 indexed citations
10.
Nøhr, Christian, et al.. (2004). Development, implementation and diffusion of EHR systems in Denmark. International Journal of Medical Informatics. 74(2-4). 229–234. 24 indexed citations
11.
Nøhr, Christian, et al.. (2003). Monitoring the development and diffusion of EHR systems in Denmark.. PubMed. 95. 886–91. 1 indexed citations
12.
Andersen, Stig Kjær, et al.. (2001). EPJ-Observatoriet: statusrapport 2001. VBN Forskningsportal (Aalborg Universitet). 5 indexed citations
13.
Kristensen, Margit, et al.. (2000). EPJ Observatoriet: statusrapport 2000. VBN Forskningsportal (Aalborg Universitet). 2 indexed citations
14.
Andreassen, Steen, Annelise Rosenfalck, Björn Falck, Kristian G. Olesen, & Stig Kjær Andersen. (1996). Evaluation of the diagnostic performance of the expert EMG assistant MUNIN. Electroencephalography and Clinical Neurophysiology/Electromyography and Motor Control. 101(2). 129–144. 24 indexed citations
15.
Andersen, Stig Kjær, et al.. (1990). A Belief Network Model for Interpretation of ICU Data. PubMed Central. 785–789. 9 indexed citations
16.
Andersen, Stig Kjær, Kristian G. Olesen, Finn V. Jensen, & Frank Jensen. (1989). HUGIN: a shell for building Bayesian belief universes for expert systems. VBN Forskningsportal (Aalborg Universitet). 1080–1085. 256 indexed citations
17.
Andersen, Stig Kjær, Kristian G. Olesen, Finn V. Jensen, & Frank Jensen. (1989). HUGIN - a Shell for Building Belief Universes for Expert Systems. VBN Forskningsportal (Aalborg Universitet). 1080–1085. 28 indexed citations
18.
Andreassen, Steen, et al.. (1987). MUNIN: a causal probabilistic network for interpretation of electromyographic findings. VBN Forskningsportal (Aalborg Universitet). 366–372. 131 indexed citations
19.
Andersen, Stig Kjær, et al.. (1986). Knowledge representations for diagnosis and test planning in the domain of electromyography. VBN Forskningsportal (Aalborg Universitet). 461–472. 8 indexed citations
20.
Andersen, Stig Kjær, et al.. (1986). Co-operative expert systems. European Conference on Artificial Intelligence. 511–526. 4 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.

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