Maryam E. Rettmann

1.5k citations
71 papers · 1.3k · h-index 16

Impact in

Papers in

Maryam E. Rettmann

66 papers receiving 1.3k citations

Peers

Maryam E. Rettmann
Comparison fields: 5 of 89
  • Computer Vision and Pattern Recognition 561
  • Radiology, Nuclear Medicine and Imaging 506
  • Computer Graphics and Computer-Aided Design 77
  • Cognitive Neuroscience 301
  • Cardiology and Cardiovascular Medicine 236
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Marc Vaillant United States
Christian Brechbühler Switzerland
Matthieu Jomier United States
Xiaolan Zeng United States
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Isabelle Corouge France
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Citations per field
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Citations per year

Countries citing papers authored by Maryam E. Rettmann

Since Specialization
Citations

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

Fields of papers citing papers by Maryam E. Rettmann

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Maryam E. Rettmann. 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 Maryam E. Rettmann. The network helps show where Maryam E. Rettmann may publish in the future.

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 71 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2004219
2 1999192
3 2002124
4 200490
5 200588
6 200455
7 201943
8 200534
9 200132
10 202024
11 202024
12 200322
13 202119
14 200118
15 201117
16 200217
17 201916
18 200914
19 202014
20 202014

About Maryam E. Rettmann

Maryam E. Rettmann is a scholar working on Cardiology and Cardiovascular Medicine, Radiology, Nuclear Medicine and Imaging, Computer Vision and Pattern Recognition, Computer Graphics and Computer-Aided Design and Biophysics, having authored 71 papers that have together received 1.3k indexed citations. Recurring topics across this work include Cardiac Arrhythmias and Treatments (27 papers), Medical Image Segmentation Techniques (18 papers), Atrial Fibrillation Management and Outcomes (16 papers), Cardiac electrophysiology and arrhythmias (10 papers), Advanced Neuroimaging Techniques and Applications (10 papers), Advanced MRI Techniques and Applications (7 papers), Computer Graphics and Visualization Techniques (6 papers) and 3D Shape Modeling and Analysis (5 papers). The work is most often cited by research in Computer Vision and Pattern Recognition (561 citations), Radiology, Nuclear Medicine and Imaging (506 citations), Computer Graphics and Computer-Aided Design (77 citations), Cognitive Neuroscience (301 citations) and Cardiology and Cardiovascular Medicine (236 citations). Maryam E. Rettmann has collaborated with scholars based in United States, China and France. Frequent co-authors include Jerry L. Prince, Xiao Han, Dzung L. Pham, Duygu Tosun, Chenyang Xu, Chenyang Xu, Douglas L. Packer, David R. Holmes Jr, Richard A. Robb and Susan M. Resnick. Their work appears in journals such as Circulation Arrhythmia and Electrophysiology, Heart Rhythm, NeuroImage, Computer Methods and Programs in Biomedicine and JACC. Clinical electrophysiology.

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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