Daniel D. Samber

777 citations
15 papers · 667 · h-index 11

Impact in

Papers in

Daniel D. Samber

14 papers receiving 654 citations

Peers

Daniel D. Samber
Comparison fields: 5 of 70
  • Radiology, Nuclear Medicine and Imaging 266
  • Biomaterials 112
  • Pulmonary and Respiratory Medicine 223
  • Cardiology and Cardiovascular Medicine 97
  • Biomedical Engineering 122
Replace Smbat Amirbekian with:
Smbat Amirbekian United States
Olivier Raguin France
Luhua Shen United States
Michael C. John United States
Jean‐Marc Vrigneaud France
Jan Sven David Mieog Netherlands
Ashvin N. Pande United States
Claudia Abramjuk Germany
Lenneke Prinzen Netherlands
Mihaela Ghita United Kingdom
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Citations per field
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Citations per year

Countries citing papers authored by Daniel D. Samber

Since Specialization
Citations

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

Fields of papers citing papers by Daniel D. Samber

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Daniel D. Samber. 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 Daniel D. Samber. The network helps show where Daniel D. Samber may publish in the future.

Co-authors

The 25 scholars most cited alongside Daniel D. Samber, 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 Daniel D. Samber Line = papers co-authored together Daniel D. Samber links everyone, so they are left out of the graph.

All Works

15 of 15 papers shown
#Work
1 2005164
2 200996
3 200981
4 200466
5 200454
6 200439
7 200937
8 200536
9 200636
10 201427
11 201911
12 200610
13 20036
14 20094
15 20070

About Daniel D. Samber

Daniel D. Samber is a scholar working on Pulmonary and Respiratory Medicine, Radiology, Nuclear Medicine and Imaging, Cardiology and Cardiovascular Medicine, Biomaterials and Computer Vision and Pattern Recognition, having authored 15 papers that have together received 667 indexed citations. Recurring topics across this work include Cerebrovascular and Carotid Artery Diseases (7 papers), Cardiac Imaging and Diagnostics (5 papers), Radiomics and Machine Learning in Medical Imaging (2 papers), Cardiovascular Health and Disease Prevention (2 papers), Nanoparticle-Based Drug Delivery (2 papers), Advanced MRI Techniques and Applications (2 papers), MRI in cancer diagnosis (1 paper) and Medical Image Segmentation Techniques (1 paper). The work is most often cited by research in Radiology, Nuclear Medicine and Imaging (266 citations), Biomaterials (112 citations), Pulmonary and Respiratory Medicine (223 citations), Cardiology and Cardiovascular Medicine (97 citations) and Biomedical Engineering (122 citations). Daniel D. Samber has collaborated with scholars based in United States, Netherlands and Switzerland. Frequent co-authors include Zahi A. Fayad, Venkatesh Mani, Vitalii V. Itskovich, Karen Briley‐Sæbø, Juan Gilberto S. Aguinaldo, Valentı́n Fuster, Gabor Mizsei, Peter A. Jarzyna, Stephen Dickson and Anita Gianella. Their work appears in journals such as Journal of Magnetic Resonance Imaging, Journal of Cardiovascular Magnetic Resonance, Magnetic Resonance in Medicine, JACC. Cardiovascular imaging and Biomaterials.

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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