Tamás Símor

1.4k citations
76 papers · 884 indexed · h-index 13

Tamás Símor

72 papers receiving 860 citations

Peers

Tamás Símor
Comparison fields: 5 of 79
  • Radiology, Nuclear Medicine and Imaging 598
  • Cardiology and Cardiovascular Medicine 406
  • Psychiatry and Mental health 50
  • Surgery 132
  • Biomedical Engineering 130
Replace Luca Pasquini with:
Luca Pasquini Italy
Gerald Pohost United States
Permi Jhooti United Kingdom
Katalin Borbély Hungary
Bernd Ebner Germany
M Gloor Switzerland
Gui Fen Yang China
Hui Qiao China
Zungho Zun United States
Mary F. Dempsey United Kingdom
Tamás Símor relative to Luca Pasquini Italy Luca Pasquini's profile →
Citations per field
00.5×4.7×
Luca Pasquini · 1×
Citations per year

Countries citing papers authored by Tamás Símor

Since Specialization
Citations

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

Fields of papers citing papers by Tamás Símor

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network

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

All Works

20 of 20 papers shown
#Work
1 20243
2 20233
3 20232
4 202316
5 20173
6 201410
7 201297
8 20118
9 20114
10 201011
11 20072
12 20079
13 20076
14 20075
15 20064
16 200512
17
Magnetic Resonance Imaging Study for the Comparative Measurement of Cardiac Parameters Between Endurance and Power and Fast-Power Athletes
20043
18 20041
19 19996
20 199720

About Tamás Símor

Tamás Símor is a scholar working on Radiology, Nuclear Medicine and Imaging, Cardiology and Cardiovascular Medicine, Biophysics, Toxicology and Psychiatry and Mental health, having authored 76 papers that have together received 884 indexed citations. Recurring topics across this work include Advanced MRI Techniques and Applications (40 papers), Cardiac Imaging and Diagnostics (33 papers), Cardiac electrophysiology and arrhythmias (11 papers), Cardiac Arrhythmias and Treatments (11 papers), Cardiovascular Function and Risk Factors (8 papers), Lanthanide and Transition Metal Complexes (8 papers), Medical Imaging Techniques and Applications (7 papers) and Atrial Fibrillation Management and Outcomes (7 papers). The work is most often cited by research in Radiology, Nuclear Medicine and Imaging (598 citations), Cardiology and Cardiovascular Medicine (406 citations), Psychiatry and Mental health (50 citations), Surgery (132 citations) and Biomedical Engineering (130 citations). Tamás Símor has collaborated with scholars based in Hungary, United States and Netherlands. Frequent co-authors include Gabriel A. Elgavish, Stefan O. Schönberg, Håkan Åhlström, Juerg Schwitter, Nadja Hoebel, Thorsten Dill, Norbert Wilke, Christian Wacker, Oliver Strohm and E. Sauer. Their work appears in journals such as Journal of Magnetic Resonance Imaging, NMR in Biomedicine, International journal of cardiac imaging, Journal of Cardiovascular Magnetic Resonance and Journal of Molecular and Cellular Cardiology.

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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