Gregor Gomišček

644 citations
22 papers · 503 · h-index 12

Impact in

Papers in

Gregor Gomišček

20 papers receiving 494 citations

Peers

Gregor Gomišček
Comparison fields: 5 of 81
  • Radiology, Nuclear Medicine and Imaging 204
  • Cognitive Neuroscience 63
  • Microbiology 13
  • Molecular Biology 137
  • Atomic and Molecular Physics, and Optics 60
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Kimberly Brewer Canada
Krzysztof Mikołajczyk Poland
Sanhita Sinharay United States
Xuefei He China
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Jessica L. Symons United States
Tugba G. Kucukkal United States
Jeffrey K. Luttrull United States
Giuseppe Roberti Italy
Rutao Yao United States
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Citations per field
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Citations per year

Countries citing papers authored by Gregor Gomišček

Since Specialization
Citations

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

Fields of papers citing papers by Gregor Gomišček

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 22 papers — load more, or switch the sort, to bring in the rest.

#Work
1 1994169
2 201862
3 200253
4 199550
5 200133
6 199326
7 201115
8 201413
9 199612
10 202012
11 201611
12 199211
13 201410
14
Analysis of relaxation time data from a low-resolution 1H-NMR-pulse-spectrometer.
19898
15 19945
16
[Correlation of results of localization by functional magnetic resonance tomography with magnetoencephalography].
19955
17 20004
18 19922
19 20211
20 20001

About Gregor Gomišček

Gregor Gomišček is a scholar working on Molecular Biology, Radiology, Nuclear Medicine and Imaging, Atomic and Molecular Physics, and Optics, Epidemiology and Physiology, having authored 22 papers that have together received 503 indexed citations. Recurring topics across this work include Lipid Membrane Structure and Behavior (10 papers), Advanced MRI Techniques and Applications (6 papers), Metabolomics and Mass Spectrometry Studies (3 papers), Sphingolipid Metabolism and Signaling (3 papers), Erythrocyte Function and Pathophysiology (3 papers), MRI in cancer diagnosis (2 papers), Atomic and Subatomic Physics Research (2 papers) and Force Microscopy Techniques and Applications (2 papers). The work is most often cited by research in Radiology, Nuclear Medicine and Imaging (204 citations), Cognitive Neuroscience (63 citations), Microbiology (13 citations), Molecular Biology (137 citations) and Atomic and Molecular Physics, and Optics (60 citations). Gregor Gomišček has collaborated with scholars based in Slovenia, Austria and Finland. Frequent co-authors include Karl Hittmair, Josef Kramer, H. Imhof, Michael P. Recht, Bojan Božić, Ewald Moser, Veronika Kralj‐Iglič, Roland Beisteiner, S. Svetina and France Sevšek. Their work appears in journals such as Biochimica et Biophysica Acta (BBA) - Biomembranes, PLoS ONE, Pflügers Archiv - European Journal of Physiology, Magnetic Resonance in Medicine and Neuroradiology.

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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