Dan Adam

2.6k citations
79 papers · 1.9k indexed · h-index 25

Impact in

Papers in

Dan Adam

75 papers receiving 1.8k citations

Peers

Dan Adam
Comparison fields: 5 of 99
  • Cardiology and Cardiovascular Medicine 918
  • Radiology, Nuclear Medicine and Imaging 814
  • Biomedical Engineering 616
  • Pulmonary and Respiratory Medicine 397
  • Computer Vision and Pattern Recognition 172
Replace Eigil Samset with:
Eigil Samset Norway
Kristen M. Meiburger Italy
Mathieu De Craene Spain
Matthew McCormick United States
Hao Gao United Kingdom
A. Herment France
Richard G. P. Lopata Netherlands
Hendrik H.G. Hansen Netherlands
Erik Smistad Norway
Spyretta Golemati Greece
Dan Adam relative to Eigil Samset Norway Eigil Samset's profile →
Citations per field
00.5×2.9×
Eigil Samset · 1×
Citations per year

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-authors

The 25 scholars most cited alongside Dan Adam, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Dan Adam Line = papers co-authored together Dan Adam links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 79 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2009157
2 2010131
3 2011106
4 200583
5 200975
6 201662
7 200662
8 201362
9 201358
10 200558
11 200655
12 200349
13 200441
14 200541
15 200440
16 201639
17 201337
18 201936
19 200635
20 201135

About Dan Adam

Dan Adam is a scholar working on Radiology, Nuclear Medicine and Imaging, Cardiology and Cardiovascular Medicine, Biomedical Engineering, Computer Vision and Pattern Recognition and Mechanics of Materials, having authored 79 papers that have together received 1.9k indexed citations. Recurring topics across this work include Ultrasound Imaging and Elastography (25 papers), Cardiovascular Function and Risk Factors (22 papers), Cardiac Imaging and Diagnostics (18 papers), Photoacoustic and Ultrasonic Imaging (18 papers), Ultrasound and Hyperthermia Applications (16 papers), Cardiovascular Health and Disease Prevention (10 papers), Cardiac Valve Diseases and Treatments (10 papers) and Cerebrovascular and Carotid Artery Diseases (8 papers). The work is most often cited by research in Cardiology and Cardiovascular Medicine (918 citations), Radiology, Nuclear Medicine and Imaging (814 citations), Biomedical Engineering (616 citations), Pulmonary and Respiratory Medicine (397 citations) and Computer Vision and Pattern Recognition (172 citations). Dan Adam has collaborated with scholars based in Israel, United States and Netherlands. Frequent co-authors include Zvi Friedman, Vera Behar, Oleg Michailovich, Peter Lysyansky, Arend F. L. Schinkel, Assaf Hoogi, Zvi Vered, Steven B. Feinstein, Daniel Staub and Marina Leitman. Their work appears in journals such as Ultrasound in Medicine & Biology, Ultrasonics, IEEE Transactions on Medical Imaging, American Journal of Physiology-Heart and Circulatory Physiology and JACC. Cardiovascular imaging.

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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