Tamás Borbáth

420 citations
15 papers · 174 · h-index 8

Impact in

Papers in

Tamás Borbáth

14 papers receiving 174 citations

Peers

Tamás Borbáth
Comparison fields: 5 of 31
  • Radiology, Nuclear Medicine and Imaging 150
  • Biophysics 19
  • Spectroscopy 48
  • Nuclear and High Energy Physics 21
  • Cognitive Neuroscience 16
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Countries citing papers authored by Tamás Borbáth

Since Specialization
Citations

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

Fields of papers citing papers by Tamás Borbáth

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 20 scholars most cited alongside Tamás Borbáth, 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 Borbáth Line = papers co-authored together Tamás Borbáth links everyone, so they are left out of the graph.

All Works

15 of 15 papers shown
#Work
1 201834
2 202033
3 201729
4 202123
5 202014
6 202012
7 202112
8 20217
9 20223
10
Longitudinal Relaxation Times of Metabolites in vivo at 9.4 T
20192
11
Towards a Fitting Model of Macromolecular Spectra: Amino Acids
20192
12
T2 Relaxation Times of Macromolecules in Human Brain Spectra at 9.4 T
20191
13
31P Transversal Relaxation Times in the Human Brain at 9.4T
20201
14
Longitudinal Relaxation times of Macromolecular Resonances at 9.4 T in Human Brain
20191
15
Overdiscrete Reconstruction in Echo-Planar Spectroscopic Imaging with Auto Calibrated B0 Field Map Estimation
20160

About Tamás Borbáth

Tamás Borbáth is a scholar working on Radiology, Nuclear Medicine and Imaging, Spectroscopy, Biophysics, Molecular Biology and Cognitive Neuroscience, having authored 15 papers that have together received 174 indexed citations. Recurring topics across this work include Advanced MRI Techniques and Applications (10 papers), Advanced NMR Techniques and Applications (5 papers), Electron Spin Resonance Studies (4 papers), Optical Imaging and Spectroscopy Techniques (2 papers), Functional Brain Connectivity Studies (2 papers), Lanthanide and Transition Metal Complexes (2 papers), Spectroscopy Techniques in Biomedical and Chemical Research (1 paper) and Pharmacogenetics and Drug Metabolism (1 paper). The work is most often cited by research in Radiology, Nuclear Medicine and Imaging (150 citations), Biophysics (19 citations), Spectroscopy (48 citations), Nuclear and High Energy Physics (21 citations) and Cognitive Neuroscience (16 citations). Tamás Borbáth has collaborated with scholars based in Germany, United States and Switzerland. Frequent co-authors include A Henning, Saipavitra Murali‐Manohar, Nikolai I. Avdievich, Andrew Martin Wright, Brian J. Soher, Ralf Mekle, Cristina Cudalbu, Zenon Starčuk, Bernard Lanz and Veronika Račkayová. Their work appears in journals such as Magnetic Resonance in Medicine, NMR in Biomedicine, Max Planck Digital Library and MPG.PuRe (Max Planck Society).

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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