Mikkel Schou

497 total citations
30 papers, 358 citations indexed

About

Mikkel Schou is a scholar working on Radiology, Nuclear Medicine and Imaging, Biomedical Engineering and Mechanics of Materials. According to data from OpenAlex, Mikkel Schou has authored 30 papers receiving a total of 358 indexed citations (citations by other indexed papers that have themselves been cited), including 29 papers in Radiology, Nuclear Medicine and Imaging, 21 papers in Biomedical Engineering and 17 papers in Mechanics of Materials. Recurrent topics in Mikkel Schou's work include Ultrasound Imaging and Elastography (29 papers), Photoacoustic and Ultrasonic Imaging (18 papers) and Ultrasonics and Acoustic Wave Propagation (13 papers). Mikkel Schou is often cited by papers focused on Ultrasound Imaging and Elastography (29 papers), Photoacoustic and Ultrasonic Imaging (18 papers) and Ultrasonics and Acoustic Wave Propagation (13 papers). Mikkel Schou collaborates with scholars based in Denmark, Netherlands and Israel. Mikkel Schou's co-authors include Jørgen Arendt Jensen, Matthias Bo Stuart, Erik Vilain Thomsen, Borislav Gueorguiev Tomov, Niels B. Larsen, Charlotte Mehlin Sørensen, Michael Bachmann Nielsen, Iman Taghavi, S. B. Andersen and Carlos Armando Villagómez Hoyos and has published in prestigious journals such as IEEE Transactions on Ultrasonics Ferroelectrics and Frequency Control, Ultrasonics and Diagnostics.

In The Last Decade

Mikkel Schou

30 papers receiving 357 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Mikkel Schou Denmark 12 312 286 109 43 11 30 358
Bruno Haider United States 9 280 0.9× 238 0.8× 139 1.3× 66 1.5× 9 0.8× 16 339
Marko Jakovljevic United States 12 368 1.2× 341 1.2× 183 1.7× 24 0.6× 8 0.7× 30 428
Iman Taghavi Denmark 11 265 0.8× 252 0.9× 63 0.6× 27 0.6× 9 0.8× 24 314
Chi Hyung Seo United States 9 337 1.1× 313 1.1× 193 1.8× 49 1.1× 11 1.0× 18 422
Maxime Polichetti France 5 184 0.6× 183 0.6× 147 1.3× 20 0.5× 8 0.7× 6 275
Ramin S. Sahebjavaher Canada 12 368 1.2× 322 1.1× 70 0.6× 15 0.3× 21 1.9× 16 431
G.R. Lockwood Canada 8 233 0.7× 211 0.7× 89 0.8× 37 0.9× 5 0.5× 16 390
Alycen Wiacek United States 12 313 1.0× 375 1.3× 168 1.5× 15 0.3× 22 2.0× 29 453
Jemma Brown United Kingdom 12 632 2.0× 672 2.3× 69 0.6× 27 0.6× 11 1.0× 26 746
Berkan Lafci Switzerland 11 106 0.3× 207 0.7× 59 0.5× 65 1.5× 6 0.5× 21 252

Countries citing papers authored by Mikkel Schou

Since Specialization
Citations

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

Fields of papers citing papers by Mikkel Schou

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Mikkel Schou

This figure shows the co-authorship network connecting the top 25 collaborators of Mikkel Schou. A scholar is included among the top collaborators of Mikkel Schou 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 Mikkel Schou. Mikkel Schou 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.
Naji, Mostafa Amin, Iman Taghavi, Mikkel Schou, et al.. (2024). Super-Resolution Ultrasound Imaging Using the Erythrocytes—Part II: Velocity Images. IEEE Transactions on Ultrasonics Ferroelectrics and Frequency Control. 71(8). 945–959. 11 indexed citations
2.
Jensen, Jørgen Arendt, Mostafa Amin Naji, Iman Taghavi, et al.. (2024). Super-Resolution Ultrasound Imaging Using the Erythrocytes—Part I: Density Images. IEEE Transactions on Ultrasonics Ferroelectrics and Frequency Control. 71(8). 925–944. 12 indexed citations
3.
Andersen, S. B., Iman Taghavi, Mikkel Schou, et al.. (2023). Super-Resolution Ultrasound Imaging of Renal Vascular Alterations in Zucker Diabetic Fatty Rats during the Development of Diabetic Kidney Disease. Diagnostics. 13(20). 3197–3197. 11 indexed citations
4.
Taghavi, Iman, S. B. Andersen, Carlos Armando Villagómez Hoyos, et al.. (2022). Ultrasound super-resolution imaging with a hierarchical Kalman tracker. Ultrasonics. 122. 106695–106695. 37 indexed citations
5.
Jensen, Jørgen Arendt, Mikkel Schou, Borislav Gueorguiev Tomov, et al.. (2022). Anatomic and Functional Imaging Using Row–Column Arrays. IEEE Transactions on Ultrasonics Ferroelectrics and Frequency Control. 69(10). 2722–2738. 56 indexed citations
6.
Jensen, Jørgen Arendt, Mikkel Schou, S. B. Andersen, et al.. (2022). Fast super resolution ultrasound imaging using the erythrocytes. Research at the University of Copenhagen (University of Copenhagen). 35–35. 11 indexed citations
7.
Taghavi, Iman, S. B. Andersen, Mikkel Schou, et al.. (2022). Microbubble tracking with a forward-backward strategy. Research at the University of Copenhagen (University of Copenhagen). 33–33. 6 indexed citations
8.
Stuart, Matthias Bo, et al.. (2021). Real-Time Volumetric Synthetic Aperture Software Beamforming of Row–Column Probe Data. IEEE Transactions on Ultrasonics Ferroelectrics and Frequency Control. 68(8). 2608–2618. 26 indexed citations
9.
Schou, Mikkel, et al.. (2021). 3D printed calibration micro-phantoms for super-resolution ultrasound imaging validation. Ultrasonics. 114. 106353–106353. 19 indexed citations
10.
Luijten, Ben, Mikkel Schou, Matthias Bo Stuart, et al.. (2021). Model-based Deep Learning on Ultrasound Channel Data for Fast Ultrasound Localization Microscopy. TU/e Research Portal. 1–4. 4 indexed citations
11.
Schou, Mikkel, et al.. (2020). Fast 3-D Velocity Estimation in 4-D Using a 62 + 62 Row–Column Addressed Array. IEEE Transactions on Ultrasonics Ferroelectrics and Frequency Control. 68(3). 608–623. 13 indexed citations
12.
Schou, Mikkel, et al.. (2020). Tensor Velocity Imaging With Motion Correction. IEEE Transactions on Ultrasonics Ferroelectrics and Frequency Control. 68(5). 1676–1686. 7 indexed citations
13.
Taghavi, Iman, S. B. Andersen, Carlos Armando Villagómez Hoyos, et al.. (2020). Tracking Performance in Ultrasound Super-Resolution Imaging. Research at the University of Copenhagen (University of Copenhagen). 527. 1–4. 5 indexed citations
14.
Jensen, Jørgen Arendt, Mikkel Schou, Thomas Sams, et al.. (2019). Three-Dimensional Super-Resolution Imaging Using a Row–Column Array. IEEE Transactions on Ultrasonics Ferroelectrics and Frequency Control. 67(3). 538–546. 58 indexed citations
15.
Schou, Mikkel, et al.. (2019). 3D Printed Calibration Micro-phantoms for Validation of Super-Resolution Ultrasound Imaging. 1212–1215. 2 indexed citations
16.
Stuart, Matthias Bo, et al.. (2019). Fast GPU-beamforming of Row-Column Addressed Probe Data. 9790. 1497–1500. 2 indexed citations
17.
Jensen, Jørgen Arendt, Erik Vilain Thomsen, Niels B. Larsen, et al.. (2019). History and Latest Advances in Flow Estimation Technology: From 1-D in 2-D to 3-D in 4-D. Research at the University of Copenhagen (University of Copenhagen). 1041–1050. 6 indexed citations
18.
Stuart, Matthias Bo, Mikkel Schou, & Jørgen Arendt Jensen. (2019). Row-column beamforming with dynamic apodizations on a GPU. 20–20. 14 indexed citations
19.
Schou, Mikkel, Rujing Zhang, Carlos Armando Villagómez Hoyos, et al.. (2018). 3D Printed Flow Phantoms with Fiducial Markers for Super-Resolution Ultrasound Imaging. 1–9. 11 indexed citations
20.

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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