Bernhard Mumm

2.0k citations
6 papers · 36 indexed · h-index 3

Impact in

Papers in

    • Surgical Simulation and Training 3
    • Coronary Interventions and Diagnostics 1
    • Cardiac and Coronary Surgery Techniques 1
    • Anatomy and Medical Technology 2

Bernhard Mumm

6 papers receiving 36 citations

Peers

Bernhard Mumm
Comparison fields: 5 of 8
  • Cardiology and Cardiovascular Medicine 23
  • Radiology, Nuclear Medicine and Imaging 17
  • Surgery 17
  • Computer Vision and Pattern Recognition 5
  • Epidemiology 8
Replace Ana Isabel Molina-Ramos with:
Ana Isabel Molina-Ramos Spain
A Pullara Italy
David Beard United States
Sara Mobasseri United States
I. Meray Russia
Wadi Kinany Israel
Lamyaa Allam Egypt
Christiane Werling Germany
Louise Thomson United States
Ahmad Hayek France
Bernhard Mumm relative to Ana Isabel Molina-Ramos Spain Ana Isabel Molina-Ramos's profile →
Citations per field
00.5×
Ana Isabel Molina-Ramos · 1×
Citations per year

Countries citing papers authored by Bernhard Mumm

Since Specialization
Citations

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

Fields of papers citing papers by Bernhard Mumm

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 22 scholars most cited alongside Bernhard Mumm, 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 Bernhard Mumm Line = papers co-authored together Bernhard Mumm links everyone, so they are left out of the graph.

All Works

6 of 6 papers shown

About Bernhard Mumm

Bernhard Mumm is a scholar working on Surgery, Biomedical Engineering, Cardiology and Cardiovascular Medicine, Computer Vision and Pattern Recognition and Radiation, having authored 6 papers that have together received 36 indexed citations. Recurring topics across this work include Surgical Simulation and Training (3 papers), Anatomy and Medical Technology (2 papers), Cardiac Valve Diseases and Treatments (2 papers), Coronary Interventions and Diagnostics (1 paper), Advanced X-ray Imaging Techniques (1 paper), Radiomics and Machine Learning in Medical Imaging (1 paper), Cardiac and Coronary Surgery Techniques (1 paper) and Medical Image Segmentation Techniques (1 paper). The work is most often cited by research in Cardiology and Cardiovascular Medicine (23 citations), Radiology, Nuclear Medicine and Imaging (17 citations), Surgery (17 citations), Computer Vision and Pattern Recognition (5 citations) and Epidemiology (8 citations). Bernhard Mumm has collaborated with scholars based in Germany, United States and Netherlands. Frequent co-authors include Thomas Berlage, Jos R.T.C. Roelandt, Nico Bruining, Marcus Schreckenberg, Georg Schummers, Roberto M. Lang, Akhil Narang, Victor Mor‐Avi, Klaus Tiemann and Rolf Baumann. Their work appears in journals such as Journal of the American Society of Echocardiography, Cardiology Clinics, Interactive Cardiovascular and Thoracic Surgery and Echocardiography.

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.

Explore authors with similar magnitude of impact