Dániel Tóth

43 papers receiving 556 citations

Peers

Dániel Tóth
Comparison fields: 5 of 89
  • Health Informatics 10
  • Computer Vision and Pattern Recognition 152
  • Radiology, Nuclear Medicine and Imaging 120
  • Cardiology and Cardiovascular Medicine 76
  • Media Technology 32
Replace Mohammad H. Jafari with:
Mohammad H. Jafari Canada
Sivan Lieberman Israel
Jiwoong Jeong United States
Ying Fu China
Clifford Yang United States
Claire Chalopin Germany
Yih Miin Liew Malaysia
Ian Chan Canada
Nils Gessert Germany
Chui-Mei Tiu Taiwan
Dániel Tóth relative to Mohammad H. Jafari Canada Mohammad H. Jafari's profile →
Citations per field
00.5×11.5×
Mohammad H. Jafari · 1×
Citations per year

Countries citing papers authored by Dániel Tóth

Since Specialization
Citations

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

Fields of papers citing papers by Dániel Tóth

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 48 papers — load more, or switch the sort, to bring in the rest.

#Work
1 200259
2 201651
3 200446
4 200440
5 202234
6 202231
7 200231
8 201731
9 201831
10 201921
11 202120
12 202020
13 200220
14 202214
15 202114
16 201314
17 200213
18 201712
19 201710
20 20229

About Dániel Tóth

Dániel Tóth is a scholar working on Cardiology and Cardiovascular Medicine, Radiology, Nuclear Medicine and Imaging, Surgery, Computer Vision and Pattern Recognition and Oncology, having authored 48 papers that have together received 592 indexed citations. Recurring topics across this work include Cardiac pacing and defibrillation studies (11 papers), Colorectal Cancer Screening and Detection (6 papers), Esophageal Cancer Research and Treatment (6 papers), Advanced MRI Techniques and Applications (6 papers), Advanced Vision and Imaging (4 papers), Ultrasound and Hyperthermia Applications (3 papers), Advanced X-ray and CT Imaging (3 papers) and Image Processing Techniques and Applications (3 papers). The work is most often cited by research in Health Informatics (10 citations), Computer Vision and Pattern Recognition (152 citations), Radiology, Nuclear Medicine and Imaging (120 citations), Cardiology and Cardiovascular Medicine (76 citations) and Media Technology (32 citations). Dániel Tóth has collaborated with scholars based in United Kingdom, Germany and United States. Frequent co-authors include Til Aach, Peter Mountney, Christopher A. Rinaldi, Rawen Kader, Danail Stoyanov, Laurence Lovat, Omer F. Ahmad, Kawal Rhode, Patrick Brandão and Günter Seidel. Their work appears in journals such as Endoscopy, EP Europace, Medical Image Analysis, Gastrointestinal Endoscopy and Digestive Endoscopy.

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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