Frida Sandberg

680 total citations
54 papers, 444 citations indexed

About

Frida Sandberg is a scholar working on Cardiology and Cardiovascular Medicine, Biomedical Engineering and Surgery. According to data from OpenAlex, Frida Sandberg has authored 54 papers receiving a total of 444 indexed citations (citations by other indexed papers that have themselves been cited), including 51 papers in Cardiology and Cardiovascular Medicine, 14 papers in Biomedical Engineering and 13 papers in Surgery. Recurrent topics in Frida Sandberg's work include ECG Monitoring and Analysis (35 papers), Cardiac electrophysiology and arrhythmias (29 papers) and Atrial Fibrillation Management and Outcomes (20 papers). Frida Sandberg is often cited by papers focused on ECG Monitoring and Analysis (35 papers), Cardiac electrophysiology and arrhythmias (29 papers) and Atrial Fibrillation Management and Outcomes (20 papers). Frida Sandberg collaborates with scholars based in Sweden, Spain and Italy. Frida Sandberg's co-authors include Leif Sörnmo, Martin Stridh, Luca Mainardi, J.J. Rieta, Raúl Alcaraz, Valentina Corino, Pablo Laguna, Raquel Bailón, Eduardo Gil and Pyotr G. Platonov and has published in prestigious journals such as The Journal of Physiology, IEEE Transactions on Biomedical Engineering and Sensors.

In The Last Decade

Frida Sandberg

44 papers receiving 437 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Frida Sandberg Sweden 12 381 121 70 62 20 54 444
Iana Simova Bulgaria 14 421 1.1× 74 0.6× 59 0.8× 82 1.3× 4 0.2× 64 490
Sumche Man Netherlands 15 713 1.9× 88 0.7× 43 0.6× 53 0.9× 5 0.3× 56 774
Matthias Goernig Germany 10 248 0.7× 92 0.8× 104 1.5× 33 0.5× 2 0.1× 28 372
Artur Oręziak Poland 10 403 1.1× 22 0.2× 49 0.7× 21 0.3× 4 0.2× 50 452
Kristjan Pilt Estonia 8 212 0.6× 206 1.7× 79 1.1× 11 0.2× 15 0.8× 34 309
Pedro Gomis Spain 11 383 1.0× 107 0.9× 19 0.3× 61 1.0× 2 0.1× 58 452
Marek Malik United Kingdom 12 624 1.6× 45 0.4× 60 0.9× 30 0.5× 3 0.1× 22 708
Marta Carrara Italy 8 179 0.5× 47 0.4× 68 1.0× 33 0.5× 4 0.2× 20 266
Joel Xue United States 15 551 1.4× 33 0.3× 25 0.4× 37 0.6× 2 0.1× 45 605
Fred Kornreich Canada 12 304 0.8× 51 0.4× 18 0.3× 41 0.7× 2 0.1× 19 336

Countries citing papers authored by Frida Sandberg

Since Specialization
Citations

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

Fields of papers citing papers by Frida Sandberg

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Frida Sandberg

This figure shows the co-authorship network connecting the top 25 collaborators of Frida Sandberg. A scholar is included among the top collaborators of Frida Sandberg 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 Frida Sandberg. Frida Sandberg 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.
Oomen, Pim J. A., Emmanouil Charitakis, Lars Karlsson, et al.. (2025). Computational model of haemodynamics during atrial fibrillation. The Journal of Physiology.
2.
Engström, Gunnar, et al.. (2024). ECG-based estimation of respiration-induced autonomic modulation of AV nodal conduction during atrial fibrillation. Frontiers in Physiology. 15. 1281343–1281343.
4.
Mainardi, Luca, et al.. (2023). Heart rate characteristic based modelling of atrial fibrillatory rate using implanted cardiac monitor data. Physiological Measurement. 44(3). 35007–35007. 1 indexed citations
5.
Holmqvist, Fredrik, et al.. (2021). Respiratory Induced Modulation in f-Wave Characteristics During Atrial Fibrillation. Frontiers in Physiology. 12. 653492–653492. 2 indexed citations
6.
Sandberg, Frida, et al.. (2021). Detection of Brief Episodes of Atrial Fibrillation Based on Electrocardiomatrix and Convolutional Neural Network. Frontiers in Physiology. 12. 19 indexed citations
7.
Sandberg, Frida, et al.. (2018). Monitoring respiration using the pressure sensors in a dialysis machine. Physiological Measurement. 40(2). 25001–25001. 5 indexed citations
8.
Garcı́a-Alberola, Arcadi, et al.. (2018). Changes in f-wave characteristics during cryoballoon catheter ablation. Physiological Measurement. 39(10). 105001–105001. 3 indexed citations
9.
Wallman, Mikael & Frida Sandberg. (2017). Characterisation of human AV-nodal properties using a network model. Medical & Biological Engineering & Computing. 56(2). 247–259. 8 indexed citations
10.
Sandberg, Frida, et al.. (2016). Cardiac signal estimation based on the arterial and venous pressure signals of a hemodialysis machine. Physiological Measurement. 37(9). 1499–1515. 4 indexed citations
11.
Corino, Valentina, Frida Sandberg, Pyotr G. Platonov, et al.. (2014). Non-invasive evaluation of the effect of metoprolol on the atrioventricular node during permanent atrial fibrillation. EP Europace. 16(suppl 4). iv129–iv134. 4 indexed citations
12.
Goya–Esteban, Rebeca, Frida Sandberg, Óscar Barquero‐Pérez, et al.. (2014). Long-term characterization of persistent atrial fibrillation: wave morphology, frequency, and irregularity analysis. Medical & Biological Engineering & Computing. 52(12). 1053–1060. 9 indexed citations
13.
Sandberg, Frida, Raquel Bailón, David Hernando, et al.. (2014). Prediction of hypotension in hemodialysis patients. Physiological Measurement. 35(9). 1885–1898. 22 indexed citations
14.
Sörnmo, Leif, et al.. (2012). Noninvasive Techniques for Prevention of Intradialytic Hypotension. IEEE Reviews in Biomedical Engineering. 5. 45–59. 30 indexed citations
15.
Sandberg, Frida, et al.. (2011). An Atrioventricular Node Model for Analysis of the Ventricular Response During Atrial Fibrillation. IEEE Transactions on Biomedical Engineering. 58(12). 3386–3395. 32 indexed citations
16.
Alcaraz, Raúl, Frida Sandberg, Leif Sörnmo, & J.J. Rieta. (2011). Classification of Paroxysmal and Persistent Atrial Fibrillation in Ambulatory ECG Recordings. IEEE Transactions on Biomedical Engineering. 58(5). 1441–1449. 45 indexed citations
17.
Sandberg, Frida, et al.. (2010). A Mathematical Model of The Atrioventricular Node during Atrial Fibrillation. Lund University Publications (Lund University). 37. 117–120.
18.
Alcaraz, Raúl, Frida Sandberg, Leif Sörnmo, & J.J. Rieta. (2010). Application of frequency and sample entropy to discriminate long-term recordings of paroxysmal and persistent atrial fibrillation. PubMed. 13. 4558–4561. 11 indexed citations
19.
Sandberg, Frida, Andreas Bollmann, Daniela Husser, Martin Stridh, & Leif Sörnmo. (2010). Circadian variation in dominant atrial fibrillation frequency in persistent atrial fibrillation. Physiological Measurement. 31(4). 531–542. 12 indexed citations
20.
Sandberg, Frida, Martin Stridh, & Leif Sörnmo. (2008). Frequency Tracking of Atrial Fibrillation Using Hidden Markov Models. IEEE Transactions on Biomedical Engineering. 55(2). 502–511. 50 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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