Hans Torp

10.8k total citations · 6 hit papers
238 papers, 8.3k citations indexed

About

Hans Torp is a scholar working on Radiology, Nuclear Medicine and Imaging, Cardiology and Cardiovascular Medicine and Biomedical Engineering. According to data from OpenAlex, Hans Torp has authored 238 papers receiving a total of 8.3k indexed citations (citations by other indexed papers that have themselves been cited), including 156 papers in Radiology, Nuclear Medicine and Imaging, 120 papers in Cardiology and Cardiovascular Medicine and 78 papers in Biomedical Engineering. Recurrent topics in Hans Torp's work include Ultrasound Imaging and Elastography (93 papers), Cardiovascular Function and Risk Factors (79 papers) and Advanced MRI Techniques and Applications (57 papers). Hans Torp is often cited by papers focused on Ultrasound Imaging and Elastography (93 papers), Cardiovascular Function and Risk Factors (79 papers) and Advanced MRI Techniques and Applications (57 papers). Hans Torp collaborates with scholars based in Norway, Belgium and United States. Hans Torp's co-authors include Otto A. Smiseth, Asbjørn Støylen, Thor Edvardsen, Stig Urheim, Å. Heimdal, Bjørn Angelsen, Terje Skjærpe, Brage H. Amundsen, Lasse Løvstakken and Thomas Helle-Valle and has published in prestigious journals such as The Lancet, Circulation and SHILAP Revista de lepidopterología.

In The Last Decade

Hans Torp

227 papers receiving 8.1k citations

Hit Papers

Noninvasive Myocardial Strain Measurement by Speckle Trac... 1998 2026 2007 2016 2006 2000 1998 2015 2005 250 500 750 1000
What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

  1. Noninvasive Myocardial Strain Measurement by Speckle Tracking Echocardiography
    2006 1.0k citations Brage H. Amundsen, Hans Torp et al. profile →
  2. Myocardial Strain by Doppler Echocardiography
    2000 893 citations Hans Torp et al. profile →
  3. Real-Time Strain Rate Imaging of the Left Ventricle by Ultrasound
    1998 648 citations Asbjørn Støylen, Hans Torp et al. Journal of the American Society of Echocardiography profile →
  4. Myocardial strain imaging: how useful is it in clinical decision making?
    2015 573 citations Hans Torp et al. profile →
  5. New Noninvasive Method for Assessment of Left Ventricular Rotation
    2005 546 citations Brage H. Amundsen, Hans Torp et al. profile →
  6. The Generalized Contrast-to-Noise Ratio: A Formal Definition for Lesion Detectability
    2019 282 citations Alfonso Rodríguez-Molares, Ole Marius Hoel Rindal et al. IEEE Transactions on Ultrasonics Ferroelectrics and Frequency Control profile →

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Hans Torp Norway 40 5.3k 5.0k 2.1k 1.2k 792 238 8.3k
Chris L. de Korte Netherlands 42 2.2k 0.4× 3.5k 0.7× 2.6k 1.3× 2.0k 1.6× 483 0.6× 288 6.6k
Jan D’hooge Belgium 65 10.8k 2.0× 7.7k 1.5× 3.2k 1.6× 2.4k 1.9× 857 1.1× 552 15.3k
Antonius F.W. van der Steen Netherlands 48 2.3k 0.4× 3.9k 0.8× 4.8k 2.3× 2.5k 2.0× 683 0.9× 389 8.5k
Guy Cloutier Canada 44 1.4k 0.3× 3.2k 0.6× 2.7k 1.3× 1.3k 1.1× 962 1.2× 301 6.5k
Peter R. Hoskins United Kingdom 38 1.7k 0.3× 2.0k 0.4× 1.6k 0.8× 1.3k 1.1× 299 0.4× 153 4.5k
Tomy Varghese United States 46 1.2k 0.2× 5.6k 1.1× 4.9k 2.3× 547 0.4× 2.2k 2.7× 254 7.3k
Bart Bijnens Spain 60 8.5k 1.6× 4.0k 0.8× 1.1k 0.5× 1.7k 1.3× 151 0.2× 378 11.7k
Theo Arts Netherlands 47 5.4k 1.0× 1.6k 0.3× 1.8k 0.9× 1.5k 1.2× 177 0.2× 152 7.1k
Ghassan S. Kassab United States 54 4.4k 0.8× 2.3k 0.5× 2.9k 1.4× 4.6k 3.7× 155 0.2× 390 10.5k
Henry R. Halperin United States 59 7.1k 1.3× 3.0k 0.6× 2.2k 1.1× 1.9k 1.6× 65 0.1× 233 11.7k

Countries citing papers authored by Hans Torp

Since Specialization
Citations

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

Fields of papers citing papers by Hans Torp

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Hans Torp

This figure shows the co-authorship network connecting the top 25 collaborators of Hans Torp. A scholar is included among the top collaborators of Hans Torp 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 Hans Torp. Hans Torp 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.
Døhlen, Gaute, et al.. (2024). Instant Detection of Cerebral Blood Flow Changes in Infants with Congenital Heart Disease during Transcatheter Interventions. Journal of Clinical Medicine. 13(11). 3115–3115.
2.
Torp, Hans, et al.. (2023). Continuous monitoring of cerebral blood flow during general anaesthesia in infants. SHILAP Revista de lepidopterología. 6. 100144–100144. 4 indexed citations
3.
Ekroll, Ingvild Kinn, et al.. (2020). Retrospective Transmit Beamforming and Coherent Plane-Wave Compounding for Microvascular Doppler Imaging: A Comparison Study. IEEE Transactions on Ultrasonics Ferroelectrics and Frequency Control. 68(4). 1105–1116. 7 indexed citations
4.
Støylen, Asbjørn, et al.. (2019). Normal ranges for automatic measurements of tissue Doppler indices of mitral annular motion by echocardiography. Data from the HUNT3 Study. Echocardiography. 36(9). 1646–1655. 5 indexed citations
5.
Rodríguez-Molares, Alfonso, Ole Marius Hoel Rindal, Jan D’hooge, et al.. (2019). The Generalized Contrast-to-Noise Ratio: A Formal Definition for Lesion Detectability. IEEE Transactions on Ultrasonics Ferroelectrics and Frequency Control. 67(4). 745–759. 282 indexed citations breakdown →
6.
Aase, Svein Arne, et al.. (2017). Myocardial Strain Rate by Anatomic Doppler Spectrum: First Clinical Experience Using Retrospective Spectral Tissue Doppler from Ultra-High Frame Rate Imaging. Ultrasound in Medicine & Biology. 43(9). 1919–1929. 10 indexed citations
7.
Fadnes, Solveig, Siri Ann Nyrnes, Hans Torp, & Lasse Løvstakken. (2014). Shunt Flow Evaluation in Congenital Heart Disease Based on Two-Dimensional Speckle Tracking. Ultrasound in Medicine & Biology. 40(10). 2379–2391. 62 indexed citations
8.
Torp, Hans, et al.. (2013). Ultra-high Frame Rate Tissue Doppler Imaging. Ultrasound in Medicine & Biology. 40(1). 222–231. 49 indexed citations
9.
Mjølstad, Ole Christian, et al.. (2012). Assessment of left ventricular function by GPs using pocket-sized ultrasound. Family Practice. 29(5). 534–540. 37 indexed citations
10.
Nyrnes, Siri Ann, Lasse Løvstakken, Eirik Skogvoll, Hans Torp, & Bjørn Olav Haugen. (2010). Does a New Ultrasound Flow Modality Improve Visualization of Neonatal Pulmonary Veins?. Echocardiography. 27(9). 1113–1119. 2 indexed citations
11.
Aase, Svein Arne, Charlotte Björk Ingul, Anders Thorstensen, Hans Torp, & Asbjørn Støylen. (2010). Aortic Valve Closure: Relation to Tissue Velocities by Doppler and Speckle Tracking in Patients with Infarction and at High Heart Rates. Echocardiography. 27(4). 363–369. 7 indexed citations
12.
Swillens, Abigaïl, Patrick Segers, Hans Torp, & Lasse Løvstakken. (2010). Two-dimensional blood velocity estimation with ultrasound: speckle tracking versus crossed-beam vector doppler based on flow simulations in a carotid bifurcation model. IEEE Transactions on Ultrasonics Ferroelectrics and Frequency Control. 57(2). 327–339. 57 indexed citations
13.
Swillens, Abigaïl, et al.. (2009). Ultrasound simulation of complex flow velocity fields based on computational fluid dynamics. IEEE Transactions on Ultrasonics Ferroelectrics and Frequency Control. 56(3). 546–556. 62 indexed citations
14.
Kiss, Gabriel, et al.. (2008). Real-time Left Ventricular Speckle-Tracking in 3D Echocardiography With Deformable Subdivision Surfaces. 41–48. 7 indexed citations
15.
Haugen, Bjørn Olav, Sevald Berg, Hans Torp, et al.. (2002). Blood flow velocity profiles in the aortic annulus: A 3-dimensional freehand color flow Doppler imaging study. Journal of the American Society of Echocardiography. 15(4). 328–333. 30 indexed citations
16.
17.
Blaas, Harm‐Gerd K., S. H. Eik‐Nes, Sevald Berg, & Hans Torp. (1998). In-vivo three-dimensional ultrasound reconstructions of embryos and early fetuses. The Lancet. 352(9135). 1182–1186. 104 indexed citations
18.
Torp, Hans. (1997). Clutter rejection filters in color flow imaging: a theoretical approach. IEEE Transactions on Ultrasonics Ferroelectrics and Frequency Control. 44(2). 417–424. 99 indexed citations
19.
Torp, Hans & Kjell Kristoffersen. (1995). Velocity matched spectrum analysis: A new method for suppressing velocity ambiguity in pulsed-wave Doppler. Ultrasound in Medicine & Biology. 21(7). 937–944. 27 indexed citations
20.
Samstad, Stein, et al.. (1992). Impact of changes in heart rate and stroke volume on the cross sectional flow velocity distribution of diastolic mitral blood flow. International journal of cardiac imaging. 8(2). 75–83. 4 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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