Daniel S. Berman

1.2k citations
33 papers · 776 · h-index 12

Impact in

Papers in

Daniel S. Berman

29 papers receiving 741 citations

Peers

Daniel S. Berman
Comparison fields: 5 of 81
  • Radiology, Nuclear Medicine and Imaging 631
  • Cardiology and Cardiovascular Medicine 393
  • Critical Care and Intensive Care Medicine 35
  • Surgery 163
  • Biomedical Engineering 127
Replace Henry G. Stratmann with:
Henry G. Stratmann United States
Soo‐Jin Kang South Korea
Sirish Shrestha United States
Sarah Mullin United States
Dietrich G. W. Onnasch Germany
Ran Vas United States
Nancy B. Wagner United States
Richard M. de Jong Netherlands
Martin Kropf Germany
S. Meij Netherlands
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Citations per field
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Citations per year

Countries citing papers authored by Daniel S. Berman

Since Specialization
Citations

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

Fields of papers citing papers by Daniel S. Berman

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 33 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2011147
2
A new algorithm for the quantitation of myocardial perfusion SPECT. II: validation and diagnostic yield.
2000106
3
A quantitative phantom analysis of artifacts due to hepatic activity in technetium-99m myocardial perfusion SPECT studies.
199484
4 199970
5 200068
6 200063
7 199959
8 199751
9 199928
10 201925
11 199117
12 199113
13 202311
14 20254
15 19974
16 20174
17 20243
18 20223
19 20213
20 20252

About Daniel S. Berman

Daniel S. Berman is a scholar working on Radiology, Nuclear Medicine and Imaging, Cardiology and Cardiovascular Medicine, Biomedical Engineering, Surgery and Computer Networks and Communications, having authored 33 papers that have together received 776 indexed citations. Recurring topics across this work include Cardiac Imaging and Diagnostics (23 papers), Advanced MRI Techniques and Applications (12 papers), Medical Imaging Techniques and Applications (6 papers), Advanced X-ray and CT Imaging (5 papers), Acute Myocardial Infarction Research (4 papers), Cardiovascular Function and Risk Factors (3 papers), Coronary Interventions and Diagnostics (3 papers) and Cardiovascular Disease and Adiposity (2 papers). The work is most often cited by research in Radiology, Nuclear Medicine and Imaging (631 citations), Cardiology and Cardiovascular Medicine (393 citations), Critical Care and Intensive Care Medicine (35 citations), Surgery (163 citations) and Biomedical Engineering (127 citations). Daniel S. Berman has collaborated with scholars based in United States, Canada and United Kingdom. Frequent co-authors include Guido Germano, Leslee J. Shaw, Hosen Kiat, Howard C. Lewin, J Areeda, Terrance Chua, Rory Hachamovitch, Piotr J. Slomka, Louise Thomson and Thomas H. Marwick. Their work appears in journals such as Journal of Nuclear Cardiology, European Heart Journal - Cardiovascular Imaging, JACC. Cardiovascular imaging, Progress in Cardiovascular Diseases and American Heart Journal.

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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