Norbert Zsótér

599 citations
21 papers · 476 indexed · h-index 8
Topics
Radiomics and Machine Learning in Medical Imaging (13 papers)Medical Imaging Techniques and Applications (9 papers)Advanced X-ray and CT Imaging (5 papers)
Partner nations
GermanyHungaryAustria

In The Last Decade

Norbert Zsótér

21 papers receiving 473 citations

Peers

Norbert Zsótér
Comparison fields: 5 of 34
  • Radiology, Nuclear Medicine and Imaging 345
  • Oncology 172
  • Pulmonary and Respiratory Medicine 150
  • Epidemiology 129
  • Biomedical Engineering 75
Replace Virginia Liberini with:
Virginia Liberini Italy
Raymond Endozo United Kingdom
Yuntai Cao China
Zaiming Lu China
Elena Banti Italy
Christoph Wetz Germany
Chiara Pozzessere Italy
Guangying Ruan China
C. Bouriel France
Timothy Perk United States
Norbert Zsótér relative to Virginia Liberini Italy Virginia Liberini's profile →
Citations per field
00.5×6.8×
Virginia Liberini · 1×
Citations per year

Countries citing papers authored by Norbert Zsótér

Since Specialization
Citations

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

Fields of papers citing papers by Norbert Zsótér

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Norbert Zsótér

This figure shows the co-authorship network connecting the top 25 collaborators of Norbert Zsótér. A scholar is included among the top collaborators of Norbert Zsótér based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Norbert Zsótér. Norbert Zsótér is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
#WorkIndexed citations
1 1
2 2
3 1
4 67
5 9
6 35
7 4
8 8
9 63
10 105
11 29
12 127
13
FDG-PET for assessment of response to multi-tyrosine kinase inhibitors in patients with iodine-negative thyroid cancer
1
14 5
15 3
16 4
17 5
18 2
19 1
20 1

About Norbert Zsótér

Norbert Zsótér is a scholar working on Radiology, Nuclear Medicine and Imaging, Computer Graphics and Computer-Aided Design and Internal Medicine, having authored 21 papers that have together received 476 indexed citations. Recurring topics across this work include Radiomics and Machine Learning in Medical Imaging (13 papers), Medical Imaging Techniques and Applications (9 papers) and Advanced X-ray and CT Imaging (5 papers). The work is most often cited by research in Radiology, Nuclear Medicine and Imaging (345 citations), Oncology (172 citations) and Neurology (71 citations). Norbert Zsótér has collaborated with scholars based in Germany, Hungary and Austria. Frequent co-authors include László Papp, Ralph A. Bundschuh, Markus Essler, Rudolf A. Werner, Constantin Lapa, Andreas K. Buck, Nicolaus Andratschke, Hanno M. Specht, Ken Herrmann and Takahiro Higuchi. Their work appears in journals such as Oncotarget, Journal of Nuclear Medicine and Radiation Oncology.

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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