Sigve Karlsen

550 total citations
7 papers, 330 citations indexed

About

Sigve Karlsen is a scholar working on Cardiology and Cardiovascular Medicine, Radiology, Nuclear Medicine and Imaging and Surgery. According to data from OpenAlex, Sigve Karlsen has authored 7 papers receiving a total of 330 indexed citations (citations by other indexed papers that have themselves been cited), including 7 papers in Cardiology and Cardiovascular Medicine, 6 papers in Radiology, Nuclear Medicine and Imaging and 2 papers in Surgery. Recurrent topics in Sigve Karlsen's work include Cardiovascular Function and Risk Factors (7 papers), Cardiac Imaging and Diagnostics (6 papers) and Cardiac Valve Diseases and Treatments (2 papers). Sigve Karlsen is often cited by papers focused on Cardiovascular Function and Risk Factors (7 papers), Cardiac Imaging and Diagnostics (6 papers) and Cardiac Valve Diseases and Treatments (2 papers). Sigve Karlsen collaborates with scholars based in Norway, Sweden and United States. Sigve Karlsen's co-authors include Thor Edvardsen, Harald Brunvand, Bjørnar Grenne, Thomas Dahlslett, Benthe Sjøli, Otto A. Smiseth, Kristina H. Haugaa, Ivar Mjåland Salte, Erik Smistad and Lasse Løvstakken and has published in prestigious journals such as JACC. Cardiovascular imaging, Journal of the American Society of Echocardiography and International Journal of Cardiology.

In The Last Decade

Sigve Karlsen

7 papers receiving 323 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Sigve Karlsen Norway	5	276	192	65	32	29	7	330
Thomas Dahlslett Norway	6	353 1.3×	180 0.9×	77 1.2×	25 0.8×	23 0.8×	11	395
Chadi Ayoub United States	7	109 0.4×	105 0.5×	70 1.1×	19 0.6×	36 1.2×	40	221
Madeline Jankowski United States	5	123 0.4×	118 0.6×	35 0.5×	26 0.8×	34 1.2×	9	213
Cassady Palmer United States	10	307 1.1×	147 0.8×	79 1.2×	58 1.8×	31 1.1×	33	373
Solomon Bienstock United States	8	143 0.5×	59 0.3×	74 1.1×	16 0.5×	15 0.5×	22	228
Mark Marinescu United States	6	183 0.7×	156 0.8×	80 1.2×	37 1.2×	16 0.6×	10	281
José Antonio Arias‐Godínez Mexico	11	342 1.2×	130 0.7×	87 1.3×	62 1.9×	21 0.7×	37	389
Meeney Dhir United States	3	362 1.3×	137 0.7×	81 1.2×	34 1.1×	22 0.8×	6	399
Peter Puleo United States	7	312 1.1×	160 0.8×	57 0.9×	26 0.8×	11 0.4×	14	371
Dustin Thomas United States	11	176 0.6×	190 1.0×	109 1.7×	24 0.8×	78 2.7×	36	340

Countries citing papers authored by Sigve Karlsen

Since Specialization

Citations

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

Fields of papers citing papers by Sigve Karlsen

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Sigve Karlsen

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

All Works

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7 of 7 papers shown

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

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

Karlsen, Sigve, Thomas Dahlslett, Bjørnar Grenne, et al.. (2022). Increased deformation of the left ventricle during exercise test measured by global longitudinal strain can rule out significant coronary artery disease in patients with suspected unstable angina pectoris. Echocardiography. 39(2). 233–239. 4 indexed citations

Salte, Ivar Mjåland, Andreas Østvik, Erik Smistad, et al.. (2021). Artificial Intelligence for Automatic Measurement of Left Ventricular Strain in Echocardiography. JACC. Cardiovascular imaging. 14(10). 1918–1928. 86 indexed citations

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

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

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

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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