Daniel B. Ennis

4.9k citations
179 papers · 3.2k · h-index 29

Impact in

Papers in

Daniel B. Ennis

169 papers receiving 3.2k citations

Peers

Daniel B. Ennis
Comparison fields: 5 of 118
  • Computational Mathematics 54
  • Cardiology and Cardiovascular Medicine 1.4k
  • Radiology, Nuclear Medicine and Imaging 1.4k
  • Biomedical Engineering 500
  • Surgery 312
Replace Edward DiBella with:
Edward DiBella United States
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Bruce H. Smaill New Zealand
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Pierre Croisille France
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Citations per field
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Citations per year

Countries citing papers authored by Daniel B. Ennis

Since Specialization
Citations

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

Fields of papers citing papers by Daniel B. Ennis

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 179 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2005201
2 2017166
3 2005141
4 2009118
5 2011107
6 201687
7 200384
8 200875
9 201369
10 201868
11 200562
12 201162
13 200360
14 202053
15 201749
16 200744
17 200943
18 200442
19 201241
20 201440

About Daniel B. Ennis

Daniel B. Ennis is a scholar working on Radiology, Nuclear Medicine and Imaging, Cardiology and Cardiovascular Medicine, Biomedical Engineering, Surgery and Pulmonary and Respiratory Medicine, having authored 179 papers that have together received 3.2k indexed citations. Recurring topics across this work include Advanced MRI Techniques and Applications (71 papers), Cardiovascular Function and Risk Factors (42 papers), Advanced Neuroimaging Techniques and Applications (33 papers), Cardiac Imaging and Diagnostics (20 papers), Cardiac Valve Diseases and Treatments (18 papers), Elasticity and Material Modeling (15 papers), MRI in cancer diagnosis (13 papers) and Cardiomyopathy and Myosin Studies (11 papers). The work is most often cited by research in Computational Mathematics (54 citations), Cardiology and Cardiovascular Medicine (1.4k citations), Radiology, Nuclear Medicine and Imaging (1.4k citations), Biomedical Engineering (500 citations) and Surgery (312 citations). Daniel B. Ennis has collaborated with scholars based in United States, United Kingdom and Canada. Frequent co-authors include Gordon Kindlmann, Eric Aliotta, Elliot R. McVeigh, Kévin Moulin, Luigi E. Perotti, Michael Loecher, Holden H. Wu, Neil B. Ingels, D. Craig Miller and J. Paul Finn. Their work appears in journals such as Magnetic Resonance in Medicine, Journal of Cardiovascular Magnetic Resonance, Journal of Magnetic Resonance Imaging, American Journal of Physiology-Heart and Circulatory Physiology and Medical Image Analysis.

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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