Thomas Dahlslett

629 total citations
11 papers, 395 citations indexed

About

Thomas Dahlslett is a scholar working on Cardiology and Cardiovascular Medicine, Radiology, Nuclear Medicine and Imaging and Surgery. According to data from OpenAlex, Thomas Dahlslett has authored 11 papers receiving a total of 395 indexed citations (citations by other indexed papers that have themselves been cited), including 11 papers in Cardiology and Cardiovascular Medicine, 7 papers in Radiology, Nuclear Medicine and Imaging and 3 papers in Surgery. Recurrent topics in Thomas Dahlslett's work include Cardiovascular Function and Risk Factors (9 papers), Cardiac Imaging and Diagnostics (7 papers) and Cardiac Valve Diseases and Treatments (4 papers). Thomas Dahlslett is often cited by papers focused on Cardiovascular Function and Risk Factors (9 papers), Cardiac Imaging and Diagnostics (7 papers) and Cardiac Valve Diseases and Treatments (4 papers). Thomas Dahlslett collaborates with scholars based in Norway, United Kingdom and United States. Thomas Dahlslett's co-authors include Thor Edvardsen, Harald Brunvand, Benthe Sjøli, Bjørnar Grenne, Sigve Karlsen, Otto A. Smiseth, Kristina H. Haugaa, Hans R. Figulla, Björn Goebel and Christian Jung and has published in prestigious journals such as Journal of the American Society of Echocardiography, International Journal of Cardiology and Cardiovascular Ultrasound.

In The Last Decade

Thomas Dahlslett

10 papers receiving 391 citations

Peers

Thomas Dahlslett
Thomas Dahlslett
Citations per year, relative to Thomas Dahlslett Thomas Dahlslett (= 1×) peers Sigve Karlsen

Countries citing papers authored by Thomas Dahlslett

Since Specialization
Citations

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

Fields of papers citing papers by Thomas Dahlslett

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Thomas Dahlslett. 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 Thomas Dahlslett. The network helps show where Thomas Dahlslett may publish in the future.

Co-authorship network of co-authors of Thomas Dahlslett

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

All Works

11 of 11 papers shown
1.
Østvik, Andreas, Ivar Mjåland Salte, Sigve Karlsen, et al.. (2024). Deep learning improves test–retest reproducibility of regional strain in echocardiography. PubMed. 2(4). qyae092–qyae092. 1 indexed citations
2.
Salte, Ivar Mjåland, Andreas Østvik, Sigve Karlsen, et al.. (2023). Deep Learning for Improved Precision and Reproducibility of Left Ventricular Strain in Echocardiography: A Test-Retest Study. Journal of the American Society of Echocardiography. 36(7). 788–799. 23 indexed citations
3.
Kiss, Gabriel, et al.. (2023). Automated tissue Doppler imaging for identification of occluded coronary artery in patients with suspected non-ST-elevation myocardial infarction. The International Journal of Cardiovascular Imaging. 39(4). 757–766. 2 indexed citations
5.
Nguyen, Thuy Mi, Ivar Mjåland Salte, Benthe Sjøli, et al.. (2021). Strain echocardiography improves prediction of arrhythmic events in ischemic and non-ischemic dilated cardiomyopathy. International Journal of Cardiology. 342. 56–62. 10 indexed citations
6.
Jortveit, Jarle, et al.. (2020). Funn og konsekvenser ved langtidsregistrering av EKG. Tidsskrift for Den norske legeforening. 140(3). 5 indexed citations
7.
Karlsen, Sigve, Thomas Dahlslett, Bjørnar Grenne, et al.. (2019). Global longitudinal strain is a more reproducible measure of left ventricular function than ejection fraction regardless of echocardiographic training. Cardiovascular Ultrasound. 17(1). 18–18. 140 indexed citations
8.
Jortveit, Jarle, et al.. (2016). En mann i 20-årene med magesmerter og bilyd over hjertet. Tidsskrift for Den norske legeforening. 136(3). 238–240.
9.
Dahlslett, Thomas, Sigve Karlsen, Bjørnar Grenne, et al.. (2014). Early Assessment of Strain Echocardiography Can Accurately Exclude Significant Coronary Artery Stenosis in Suspected Non–ST-Segment Elevation Acute Coronary Syndrome. Journal of the American Society of Echocardiography. 27(5). 512–519. 66 indexed citations
10.
Haugaa, Kristina H., Björn Goebel, Thomas Dahlslett, et al.. (2012). Risk Assessment of Ventricular Arrhythmias in Patients with Nonischemic Dilated Cardiomyopathy by Strain Echocardiography. Journal of the American Society of Echocardiography. 25(6). 667–673. 131 indexed citations
11.
Grenne, Bjørnar, Christian Eek, Benthe Sjøli, et al.. (2011). Mean Strain Throughout the Heart Cycle by Longitudinal Two-Dimensional Speckle-Tracking Echocardiography Enables Early Prediction of Infarct Size. Journal of the American Society of Echocardiography. 24(10). 1118–1125. 13 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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