Trygve Eftestøl

3.4k total citations
113 papers, 2.4k citations indexed

About

Trygve Eftestøl is a scholar working on Emergency Medicine, Cardiology and Cardiovascular Medicine and Surgery. According to data from OpenAlex, Trygve Eftestøl has authored 113 papers receiving a total of 2.4k indexed citations (citations by other indexed papers that have themselves been cited), including 77 papers in Emergency Medicine, 67 papers in Cardiology and Cardiovascular Medicine and 43 papers in Surgery. Recurrent topics in Trygve Eftestøl's work include Cardiac Arrest and Resuscitation (77 papers), Healthcare Technology and Patient Monitoring (35 papers) and Non-Invasive Vital Sign Monitoring (32 papers). Trygve Eftestøl is often cited by papers focused on Cardiac Arrest and Resuscitation (77 papers), Healthcare Technology and Patient Monitoring (35 papers) and Non-Invasive Vital Sign Monitoring (32 papers). Trygve Eftestøl collaborates with scholars based in Norway, Spain and United States. Trygve Eftestøl's co-authors include Petter Andreas Steen, Kjetil Sunde, Jo Kramer‐Johansen, Unai Irusta, Lars Wik, Elisabete Aramendi, Sven Ole Aase, Jesús Ruiz, Unai Ayala and Jan Terje Kvaløy and has published in prestigious journals such as Circulation, SHILAP Revista de lepidopterología and PLoS ONE.

In The Last Decade

Trygve Eftestøl

105 papers receiving 2.3k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Trygve Eftestøl Norway 27 2.0k 1.4k 743 704 186 113 2.4k
Colin E. Robertson United Kingdom 26 1.5k 0.8× 838 0.6× 500 0.7× 528 0.8× 453 2.4× 84 2.7k
Jo Kramer‐Johansen Norway 36 3.4k 1.8× 1.1k 0.7× 1.0k 1.4× 1.2k 1.7× 611 3.3× 143 3.9k
Dawn Jorgenson United States 20 900 0.5× 513 0.4× 332 0.4× 298 0.4× 101 0.5× 37 1.1k
Elisabete Aramendi Spain 21 997 0.5× 753 0.5× 455 0.6× 374 0.5× 202 1.1× 150 1.4k
Helge Myklebust Norway 26 3.2k 1.7× 561 0.4× 872 1.2× 1.0k 1.4× 460 2.5× 76 3.5k
D. G. Mason United Kingdom 23 337 0.2× 379 0.3× 716 1.0× 706 1.0× 361 1.9× 83 1.7k
Christian Storm Germany 28 1.7k 0.9× 342 0.2× 368 0.5× 267 0.4× 219 1.2× 110 2.3k
Unai Irusta Spain 23 1.1k 0.5× 890 0.6× 455 0.6× 407 0.6× 162 0.9× 118 1.7k
Howard A. Werman United States 24 1.2k 0.6× 449 0.3× 271 0.4× 349 0.5× 171 0.9× 75 1.6k
Gareth Clegg United Kingdom 21 579 0.3× 502 0.4× 253 0.3× 151 0.2× 87 0.5× 75 1.1k

Countries citing papers authored by Trygve Eftestøl

Since Specialization
Citations

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

Fields of papers citing papers by Trygve Eftestøl

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Trygve Eftestøl

This figure shows the co-authorship network connecting the top 25 collaborators of Trygve Eftestøl. A scholar is included among the top collaborators of Trygve Eftestøl 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 Trygve Eftestøl. Trygve Eftestøl 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.
Eftestøl, Trygve, et al.. (2025). Decision Strategies in AI-Based Ensemble Models in Opportunistic Alzheimer’s Detection from Structural MRI. Journal of Imaging Informatics in Medicine.
2.
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Bergum, Daniel, David G. Buckler, Trygve Eftestøl, et al.. (2024). Re‐arrest immediately after return of spontaneous circulation: A retrospective observational study of in‐hospital cardiac arrest. Acta Anaesthesiologica Scandinavica. 69(1). e14567–e14567. 2 indexed citations
4.
Nordseth, Trond, Trygve Eftestøl, Elisabete Aramendi, Jan Terje Kvaløy, & Eirik Skogvoll. (2024). Extracting physiologic and clinical data from defibrillators for research purposes to improve treatment for patients in cardiac arrest. Resuscitation Plus. 18. 100611–100611. 1 indexed citations
5.
Eftestøl, Trygve, Siren Rettedal, Helge Myklebust, et al.. (2024). Analysis and knowledge extraction of newborn resuscitation activities from annotation files. BMC Medical Informatics and Decision Making. 24(1). 327–327.
6.
Eftestøl, Trygve, et al.. (2023). A Convolutional Neural Network Approach for Interpreting Cardiac Rhythms During Resuscitation of Patients in Cardiac Arrest. Computing in cardiology. 1 indexed citations
7.
Engan, Kjersti, Trygve Eftestøl, Paschal Mdoe, et al.. (2023). Automatic prediction of therapeutic activities during newborn resuscitation combining video and signal data. Biomedical Signal Processing and Control. 86. 105290–105290. 1 indexed citations
8.
Bergum, Daniel, David G. Buckler, Trygve Eftestøl, et al.. (2023). Non-shockable rhythms: A parametric model for the immediate probability of return of spontaneous circulation. Resuscitation. 191. 109895–109895. 3 indexed citations
9.
Wiktorski, Tomasz, et al.. (2023). Recurrent Neural Networks for Artifact Correction in HRV Data During Physical Exercise. 3(1). 11–11. 3 indexed citations
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11.
Engan, Kjersti, et al.. (2020). Activity Recognition From Newborn Resuscitation Videos. IEEE Journal of Biomedical and Health Informatics. 24(11). 3258–3267. 15 indexed citations
12.
Engan, Kjersti, et al.. (2019). Object Detection During Newborn Resuscitation Activities. IEEE Journal of Biomedical and Health Informatics. 24(3). 796–803. 9 indexed citations
13.
Irusta, Unai, Elisabete Aramendi, Unai Ayala, et al.. (2018). A Multistage Algorithm for ECG Rhythm Analysis During Piston-Driven Mechanical Chest Compressions. IEEE Transactions on Biomedical Engineering. 66(1). 263–272. 19 indexed citations
14.
Irusta, Unai, Andoni Elola, Elisabete Aramendi, et al.. (2018). A Machine Learning Shock Decision Algorithm for Use During Piston-Driven Chest Compressions. IEEE Transactions on Biomedical Engineering. 66(6). 1752–1760. 25 indexed citations
15.
Engan, Kjersti, et al.. (2012). Local Binary Patterns used on Cardiac MRI to classify high and low risk patient groups. European Signal Processing Conference. 2586–2590. 7 indexed citations
16.
Ayala, Unai, et al.. (2011). Are dual-channel methods as accurate as multi-channel methods to suppress the CPR artifact?. Computing in Cardiology. 509–512. 2 indexed citations
17.
Nordseth, Trond, Daniel Bergum, Trygve Eftestøl, Theresa M. Olasveengen, & Eirik Skogvoll. (2010). Optimal CPR loop duration for asystole and pulseless electrical activity during in-hospital cardiac arrest. Resuscitation. 81(2). S17–S17. 1 indexed citations
18.
Nordseth, Trond, Daniel Bergum, Trygve Eftestøl, Theresa M. Olasveengen, & Eirik Skogvoll. (2010). The dynamics of in-hospital cardiac arrest. Resuscitation. 81(2). S36–S36. 1 indexed citations
19.
Skogvoll, Eirik, Jan Terje Kvaløy, Jo Kramer‐Johansen, et al.. (2010). Optimal loop duration in asystole and pulseless electrical activity in out-of-hospital cardiac arrest. Resuscitation. 81(2). S2–S2.
20.
Eftestøl, Trygve. (2009). Controlling true positive rate in ROC analysis. 353–356. 7 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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