Per Ask

1.6k total citations
62 papers, 1.1k citations indexed

About

Per Ask is a scholar working on Cardiology and Cardiovascular Medicine, Pulmonary and Respiratory Medicine and Biomedical Engineering. According to data from OpenAlex, Per Ask has authored 62 papers receiving a total of 1.1k indexed citations (citations by other indexed papers that have themselves been cited), including 22 papers in Cardiology and Cardiovascular Medicine, 16 papers in Pulmonary and Respiratory Medicine and 16 papers in Biomedical Engineering. Recurrent topics in Per Ask's work include Phonocardiography and Auscultation Techniques (11 papers), Cardiovascular Function and Risk Factors (10 papers) and Cardiac Valve Diseases and Treatments (9 papers). Per Ask is often cited by papers focused on Phonocardiography and Auscultation Techniques (11 papers), Cardiovascular Function and Risk Factors (10 papers) and Cardiac Valve Diseases and Treatments (9 papers). Per Ask collaborates with scholars based in Sweden, Norway and Denmark. Per Ask's co-authors include Bengt Wranne, Peter Hult, Dan Loyd, Lita Tibbling, Christer Ahlström, Birgitta Janerot-Sjöberg, Anders Spångberg, Arash Gharehbaghi, María Lindén and Lena Berglin and has published in prestigious journals such as Circulation, Critical Care Medicine and The American Journal of Cardiology.

In The Last Decade

Per Ask

60 papers receiving 1.1k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Per Ask Sweden 21 446 346 315 243 193 62 1.1k
Motonao Tanaka Japan 23 691 1.5× 732 2.1× 269 0.9× 657 2.7× 223 1.2× 98 1.7k
P. Ask Sweden 16 215 0.5× 159 0.5× 224 0.7× 71 0.3× 326 1.7× 49 853
Hans Nygaard Denmark 23 1.2k 2.6× 213 0.6× 337 1.1× 193 0.8× 633 3.3× 101 1.5k
Billy Y. S. Yiu Canada 18 268 0.6× 732 2.1× 130 0.4× 760 3.1× 153 0.8× 64 1.3k
J. Mazumdar Australia 22 267 0.6× 494 1.4× 167 0.5× 116 0.5× 244 1.3× 99 1.4k
Judith O. E. H. van Laar Netherlands 22 565 1.3× 337 1.0× 298 0.9× 42 0.2× 87 0.5× 86 1.2k
Katsuyuki Yamamoto Japan 17 170 0.4× 658 1.9× 84 0.3× 359 1.5× 167 0.9× 89 1.2k
Alexander Stork Germany 22 378 0.8× 308 0.9× 165 0.5× 754 3.1× 364 1.9× 55 1.5k
Grant H. Kruger United States 16 157 0.4× 228 0.7× 42 0.1× 84 0.3× 116 0.6× 41 771

Countries citing papers authored by Per Ask

Since Specialization
Citations

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

Fields of papers citing papers by Per Ask

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Per Ask

This figure shows the co-authorship network connecting the top 25 collaborators of Per Ask. A scholar is included among the top collaborators of Per Ask 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 Per Ask. Per Ask 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.
Gharehbaghi, Arash, et al.. (2011). An automatic tool for pediatric heart sounds segmentation. Computing in Cardiology. 38. 37–40. 15 indexed citations
2.
Walker, A. R., Egil Henriksen, Ivar Ringqvist, & Per Ask. (2009). A Rotating Cylinder Phantom for Flow and Tissue Color Doppler Testing. Ultrasound in Medicine & Biology. 35(11). 1892–1898. 2 indexed citations
3.
Hult, Peter, et al.. (2007). Electrical Properties of Textile Electrodes. Conference proceedings. 53. 5735–5738. 11 indexed citations
4.
Ahlström, Christer, Anders Johansson, Fredrik Uhlin, Toste Länne, & Per Ask. (2005). Noninvasive investigation of blood pressure changes using the pulse wave transit time: a novel approach in the monitoring of hemodialysis patients. Journal of Artificial Organs. 8(3). 192–197. 79 indexed citations
5.
Hoff, Lars, et al.. (2004). Modelling of nonlinear effects and the response of ultrasound contrast micro bubbles: simulation and experiment. Ultrasonics. 42(1-9). 301–307. 16 indexed citations
6.
Bech‐Hanssen, Odd, Peter Gjertsson, Erik Houltz, et al.. (2003). Net pressure gradients in aortic prosthetic valves can be estimated by Doppler. Journal of the American Society of Echocardiography. 16(8). 858–866. 2 indexed citations
7.
Bech‐Hanssen, Odd, Kenneth Caidahl, I Wallentin, Per Ask, & Bengt Wranne. (2001). Assessment of effective orifice area of prosthetic aortic valves with Doppler echocardiography: An in vivo and in vitro study. Journal of Thoracic and Cardiovascular Surgery. 122(2). 287–295. 24 indexed citations
8.
Chew, Michelle S., et al.. (2000). Doppler flow measurement using surface integration of velocity vectors (Sivv): in vitro validation. Ultrasound in Medicine & Biology. 26(2). 255–262. 1 indexed citations
9.
Chew, Michelle S., et al.. (2000). Pediatric cardiac output measurement using surface integration of velocity vectors: An in vivo validation study. Critical Care Medicine. 28(11). 3664–3671. 5 indexed citations
10.
Hult, Peter, et al.. (1999). Validation and Characterization of the Computerized Laryngeal Analyzer (CLA) Technique. Dysphagia. 14(4). 191–195. 7 indexed citations
11.
Ask, Per, et al.. (1997). Venous flow in an in vitro model : effect of extravascular pressure. Journal of Vascular Surgery. 3. 130–136. 2 indexed citations
12.
Bolger, Ann F., et al.. (1997). Understanding continuous-wave Doppler signal intensity as a measure of regurgitant severity. Journal of the American Society of Echocardiography. 10(6). 613–622. 13 indexed citations
13.
Sun, Ying, et al.. (1995). Estimation of volume flow rate by surface integration of velocity vectors from color Doppler images. Journal of the American Society of Echocardiography. 8(6). 904–914. 35 indexed citations
14.
Janerot-Sjöberg, Birgitta, Per Ask, Dan Loyd, & Bengt Wranne. (1994). Subaortic Flow Profiles in Aortic Valve Disease: A Two-dimensional Color Doppler Study. Journal of the American Society of Echocardiography. 7(3). 276–285. 20 indexed citations
15.
Bolger, Ann F., et al.. (1992). THE MULTIPLE DETERMINANTS OF CONTINUOUS WAVE SIGNAL INTENSITY. Circulation. 86. 2 indexed citations
16.
Ask, Per, et al.. (1992). Determination of regurgitant flow in a pulsatile model by integrating velocities from the entire 3D proximal velocity field. Circulation. 88. 1 indexed citations
17.
Janerot-Sjöberg, Birgitta, et al.. (1992). Two-dimensional Color Doppler Flow Velocity Profiles Can Be Time Corrected with an External ECG-delay Device. Journal of the American Society of Echocardiography. 5(4). 405–413. 16 indexed citations
18.
Wranne, Bengt, Per Ask, & Dan Loyd. (1990). Analysis of different methods of assessing the stenotic mitral valve area with emphasis on the pressure gradient half-time concept. The American Journal of Cardiology. 66(5). 614–620. 19 indexed citations
19.
Ask, Per, et al.. (1984). A DEVICE FOR BLADDER PRESSURE MONITORING DURING TRANS-URETHRAL RESECTION. Scandinavian Journal of Urology and Nephrology. 75–80. 1 indexed citations
20.
Ask, Per, G. Edwall, & Lita Tibbling. (1980). ESOPHAGEAL PH MEASUREMENTS USING AN ANTIMONY ELECTRODE. Medical & Biological Engineering & Computing. 18(1). 1 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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