Evann Eisenberg

873 citations
16 papers · 509 · h-index 11

Impact in

Papers in

Evann Eisenberg

16 papers receiving 506 citations

Peers

Evann Eisenberg
Comparison fields: 5 of 45
  • Cardiology and Cardiovascular Medicine 299
  • Radiology, Nuclear Medicine and Imaging 212
  • Health Informatics 8
  • Surgery 88
  • Biomedical Engineering 68
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Julia Lurz Germany
Brian P. Cupps United States
Maximilian J. Bauer United States
Salim Adawi Israel
Bette Kim United States
James Shambrook United Kingdom
Dustin Thomas United States
Assami Rösner Norway
Koji Fukuzawa Japan
Aeshita Dwivedi United States
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Citations per field
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Citations per year

Countries citing papers authored by Evann Eisenberg

Since Specialization
Citations

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

Fields of papers citing papers by Evann Eisenberg

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

16 of 16 papers shown
#Work
1 2019126
2 2020120
3 201887
4 202038
5 202031
6 202025
7 201919
8 201914
9 202012
10 201912
11 201912
12 20208
13 20222
14 20191
15 20161
16
The Diagnostic Accuracy of Machine Learning From Stress Only fast-MPS
20181

About Evann Eisenberg

Evann Eisenberg is a scholar working on Radiology, Nuclear Medicine and Imaging, Cardiology and Cardiovascular Medicine, Surgery, Biomedical Engineering and Critical Care and Intensive Care Medicine, having authored 16 papers that have together received 509 indexed citations. Recurring topics across this work include Cardiac Imaging and Diagnostics (9 papers), Cardiac Valve Diseases and Treatments (3 papers), Radiomics and Machine Learning in Medical Imaging (2 papers), Advanced X-ray and CT Imaging (2 papers), Coronary Interventions and Diagnostics (2 papers), Cardiovascular Disease and Adiposity (2 papers), Medical Imaging Techniques and Applications (1 paper) and Cardiovascular Function and Risk Factors (1 paper). The work is most often cited by research in Cardiology and Cardiovascular Medicine (299 citations), Radiology, Nuclear Medicine and Imaging (212 citations), Health Informatics (8 citations), Surgery (88 citations) and Biomedical Engineering (68 citations). Evann Eisenberg has collaborated with scholars based in United States, Canada and Israel. Frequent co-authors include Katherine E. Di Palo, Ileana L. Piña, Daniel S. Berman, Damini Dey, Balaji Tamarappoo, Piotr J. Slomka, Sebastien Cadet, Robert J.H. Miller, Yuka Otaki and John D. Friedman. Their work appears in journals such as Circulation Cardiovascular Imaging, European Heart Journal - Cardiovascular Imaging, JACC. Cardiovascular imaging, European Radiology and Radiology Cardiothoracic 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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