Dan Adam

2.6k total citations
79 papers, 1.9k citations indexed

About

Dan Adam is a scholar working on Radiology, Nuclear Medicine and Imaging, Cardiology and Cardiovascular Medicine and Biomedical Engineering. According to data from OpenAlex, Dan Adam has authored 79 papers receiving a total of 1.9k indexed citations (citations by other indexed papers that have themselves been cited), including 47 papers in Radiology, Nuclear Medicine and Imaging, 41 papers in Cardiology and Cardiovascular Medicine and 37 papers in Biomedical Engineering. Recurrent topics in Dan Adam's work include Ultrasound Imaging and Elastography (25 papers), Cardiovascular Function and Risk Factors (22 papers) and Cardiac Imaging and Diagnostics (18 papers). Dan Adam is often cited by papers focused on Ultrasound Imaging and Elastography (25 papers), Cardiovascular Function and Risk Factors (22 papers) and Cardiac Imaging and Diagnostics (18 papers). Dan Adam collaborates with scholars based in Israel, United States and Netherlands. Dan Adam's co-authors include Zvi Friedman, Vera Behar, Oleg Michailovich, Peter Lysyansky, Arend F. L. Schinkel, Assaf Hoogi, Zvi Vered, Daniel Staub, Steven B. Feinstein and Marina Leitman and has published in prestigious journals such as Circulation, Cancer Research and Journal of Controlled Release.

In The Last Decade

Dan Adam

75 papers receiving 1.8k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Dan Adam Israel 25 918 814 616 397 266 79 1.9k
Bjørn Angelsen Norway 23 1.4k 1.5× 1.3k 1.6× 864 1.4× 218 0.5× 385 1.4× 93 2.4k
Hao Gao United Kingdom 28 1.0k 1.1× 490 0.6× 963 1.6× 293 0.7× 475 1.8× 133 2.0k
Jie Sun United States 24 698 0.8× 859 1.1× 493 0.8× 1.1k 2.7× 257 1.0× 92 2.0k
David Nordsletten United Kingdom 31 1.5k 1.6× 854 1.0× 1.1k 1.7× 420 1.1× 496 1.9× 121 2.8k
Hideyuki Hasegawa Japan 26 1000 1.1× 1.7k 2.1× 1.3k 2.1× 364 0.9× 350 1.3× 239 2.9k
A. Herment France 22 617 0.7× 981 1.2× 459 0.7× 424 1.1× 182 0.7× 96 1.7k
Cristina Pislaru United States 24 1.1k 1.2× 1.4k 1.7× 702 1.1× 116 0.3× 234 0.9× 91 2.0k
Richard G. P. Lopata Netherlands 22 825 0.9× 1.0k 1.3× 986 1.6× 580 1.5× 386 1.5× 143 1.9k
Jie Zheng United States 33 1.0k 1.1× 1.6k 2.0× 719 1.2× 844 2.1× 1.3k 4.8× 171 3.3k
Gérard Finet France 30 1.6k 1.7× 1.6k 1.9× 1.0k 1.6× 752 1.9× 2.0k 7.5× 129 3.9k

Countries citing papers authored by Dan Adam

Since Specialization
Citations

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

Fields of papers citing papers by Dan Adam

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Dan Adam

This figure shows the co-authorship network connecting the top 25 collaborators of Dan Adam. A scholar is included among the top collaborators of Dan Adam 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 Dan Adam. Dan Adam 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.
Bar‐Zion, Avinoam, Melissa Yin, Dan Adam, & F. Stuart Foster. (2016). Functional Flow Patterns and Static Blood Pooling in Tumors Revealed by Combined Contrast-Enhanced Ultrasound and Photoacoustic Imaging. Cancer Research. 76(15). 4320–4331. 39 indexed citations
2.
Kohut, Andrew, et al.. (2016). The potential of ultrasound in cardiac pacing and rhythm modulation. Expert Review of Medical Devices. 13(9). 815–822. 7 indexed citations
3.
Friedman, Zvi, et al.. (2016). Automatic apical view classification of echocardiograms using a discriminative learning dictionary. Medical Image Analysis. 36. 15–21. 62 indexed citations
4.
Kimmel, Eitan, et al.. (2014). Extracorporeal acute cardiac pacing by High Intensity Focused Ultrasound. Progress in Biophysics and Molecular Biology. 115(2-3). 140–153. 21 indexed citations
5.
Becker, Michael, Ertunc Altiok, Sydney Otten, et al.. (2011). Layer-specific analysis of myocardial function for accurate prediction of reversible ischaemic dysfunction in intermediate viability defined by contrast-enhanced MRI. Heart. 97(9). 748–756. 18 indexed citations
6.
Leitman, Marina, Dan Adam, Therese Fuchs, et al.. (2011). Speckle Tracking Imaging in Acute Inflammatory Pericardial Diseases. Echocardiography. 28(5). 548–555. 23 indexed citations
7.
Ertracht, Offir, et al.. (2010). Layer-specific assessment of left ventricular function by utilizing wavelet de-noising: a validation study. Medical & Biological Engineering & Computing. 49(1). 3–13. 16 indexed citations
8.
Adam, Dan, et al.. (2010). Increase in endocardial rotation during doxorubicin treatment. Annals of the New York Academy of Sciences. 1188(1). 128–132. 3 indexed citations
9.
Feinstein, Steven B., Blai Coll, Daniel Staub, et al.. (2009). Contrast enhanced ultrasound imaging. Journal of Nuclear Cardiology. 17(1). 106–115. 75 indexed citations
10.
Schechner, Yoav Y., et al.. (2008). Space Variant Ultrasound Frequency Compounding Based on Noise Characteristics. Ultrasound in Medicine & Biology. 34(6). 981–1000. 8 indexed citations
11.
Adam, Dan, et al.. (2007). In vivo validation of a novel method for regional myocardial wall motion analysis based on echocardiographic tissue tracking. Medical & Biological Engineering & Computing. 46(2). 131–137. 7 indexed citations
12.
Kimmel, Eitan, Boris Krasovitski, Assaf Hoogi, Daniel Razansky, & Dan Adam. (2007). Subharmonic Response of Encapsulated Microbubbles: Conditions for Existence and Amplification. Ultrasound in Medicine & Biology. 33(11). 1767–1776. 30 indexed citations
13.
Friedman, Zvi, et al.. (2006). Inhomogeneity of left ventricular apical rotation during the heart cycle assessed by ultrasound cardiography. Computing in Cardiology Conference. 717–720. 1 indexed citations
14.
Adam, Dan, et al.. (2005). On the relationship between encapsulated ultrasound contrast agent and pressure. Ultrasound in Medicine & Biology. 31(5). 673–686. 41 indexed citations
15.
Razansky, Daniel, P.D. Einziger, & Dan Adam. (2005). Optimization of Bulk and Surface Biosensing in Plane Stratified Configurations. PubMed. 93. 1972–1975.
16.
Behar, Vera & Dan Adam. (2004). Parameter optimization of pulse compression in ultrasound imaging systems with coded excitation. Ultrasonics. 42(10). 1101–1109. 41 indexed citations
17.
Behar, Vera, Dan Adam, & Zvi Friedman. (2003). A new method of spatial compounding imaging. Ultrasonics. 41(5). 377–384. 49 indexed citations
18.
Behar, Vera, Dan Adam, Peter Lysyansky, & Zvi Friedman. (2003). The combined effect of nonlinear filtration and window size on the accuracy of tissue displacement estimation using detected echo signals. Ultrasonics. 41(9). 743–753. 33 indexed citations
19.
Michailovich, Oleg & Dan Adam. (2002). A high-resolution technique for ultrasound harmonic imaging using sparse representations in Gabor frames. IEEE Transactions on Medical Imaging. 21(12). 1490–1503. 11 indexed citations
20.
Adam, Dan, et al.. (1990). Complete foetal ECG morphology recording by synchronised adaptive filtration. Medical & Biological Engineering & Computing. 28(4). 287–292. 19 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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