Csaba Pintér

1.4k citations
47 papers · 951 · h-index 13

Impact in

Papers in

Csaba Pintér

46 papers receiving 935 citations

Peers

Csaba Pintér
Comparison fields: 5 of 86
  • Radiation 165
  • Radiology, Nuclear Medicine and Imaging 260
  • Computer Vision and Pattern Recognition 147
  • Health Informatics 9
  • Biomedical Engineering 275
Replace Bernhard Fuerst with:
Bernhard Fuerst Germany
András Lassó Canada
Jef Vandemeulebroucke Belgium
Matthew McCormick United States
Emmanuel Wilson United States
Marijn van Stralen Netherlands
Lars Gjesteby United States
Bruno Oliveira Portugal
Johann Hummel Austria
Min Suk Chung South Korea
Csaba Pintér relative to Bernhard Fuerst Germany Bernhard Fuerst's profile →
Citations per field
00.5×1.5×2.1×
Bernhard Fuerst · 1×
Citations per year

Countries citing papers authored by Csaba Pintér

Since Specialization
Citations

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

Fields of papers citing papers by Csaba Pintér

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 47 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2014313
2 2012194
3 201974
4 201250
5 202036
6 201730
7 202222
8 201219
9 201318
10 202118
11 201815
12 202214
13 201812
14 202112
15 20159
16 20157
17 20237
18 20227
19
CBCT subtraction analysis of 3D changes following alveolar ridge preservation: a case series of 10 patients with 6-months follow-up.
20217
20 20197

About Csaba Pintér

Csaba Pintér is a scholar working on Radiology, Nuclear Medicine and Imaging, Biomedical Engineering, Radiation, Surgery and Pulmonary and Respiratory Medicine, having authored 47 papers that have together received 951 indexed citations. Recurring topics across this work include Advanced Radiotherapy Techniques (12 papers), Radiomics and Machine Learning in Medical Imaging (10 papers), Advanced X-ray and CT Imaging (8 papers), Medical Imaging Techniques and Applications (7 papers), Dental Radiography and Imaging (5 papers), Medical Imaging and Analysis (5 papers), Medical Image Segmentation Techniques (4 papers) and Anatomy and Medical Technology (4 papers). The work is most often cited by research in Radiation (165 citations), Radiology, Nuclear Medicine and Imaging (260 citations), Computer Vision and Pattern Recognition (147 citations), Health Informatics (9 citations) and Biomedical Engineering (275 citations). Csaba Pintér has collaborated with scholars based in Canada, United States and Hungary. Frequent co-authors include Gábor Fichtinger, András Lassó, Tamás Ungi, Tamas Heffter, Adam Rankin, David A. Jaffray, An Wang, Péter Windisch, Matthew A. Jolley and Bálint Molnár. Their work appears in journals such as Medical Physics, IEEE Transactions on Biomedical Engineering, Journal of Dentistry, Brachytherapy and BMC Oral Health.

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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