László Ruskó

1.6k citations
23 papers · 289 · h-index 9

Impact in

Papers in

László Ruskó

22 papers receiving 277 citations

Peers

László Ruskó
Comparison fields: 5 of 50
  • Computer Vision and Pattern Recognition 168
  • Radiology, Nuclear Medicine and Imaging 139
  • Hepatology 34
  • Radiation 29
  • Neurology 26
Replace Olivier Dourthe with:
Olivier Dourthe France
Grzegorz Chlebus Germany
Bartłomiej W. Papież United Kingdom
Ruida Cheng United States
Mika Pollari Finland
Rongpin Wang China
Baochun He China
Awais Mansoor United States
Florian Michallek Germany
László Ruskó relative to Olivier Dourthe France Olivier Dourthe's profile →
Citations per field
00.5×3.2×
Olivier Dourthe · 1×
Citations per year

Countries citing papers authored by László Ruskó

Since Specialization
Citations

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

Fields of papers citing papers by László Ruskó

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 23 papers — load more, or switch the sort, to bring in the rest.

#Work
1 200979
2
Fully automatic liver segmentation for contrast-enhanced CT images
200766
3 201223
4 201017
5 202214
6 201313
7 200512
8 20139
9 20059
10 20058
11
SNARK05: A PROGRAMMING SYSTEM FOR THE RECONSTRUCTION OF 2D IMAGES FROM 1D PROJECTIONS
20087
12 20057
13 20196
14 20225
15 20024
16 20112
17 20162
18 20182
19 20251
20 20161

About László Ruskó

László Ruskó is a scholar working on Radiology, Nuclear Medicine and Imaging, Computer Vision and Pattern Recognition, Biomedical Engineering, Artificial Intelligence and Radiation, having authored 23 papers that have together received 289 indexed citations. Recurring topics across this work include Medical Image Segmentation Techniques (12 papers), Medical Imaging Techniques and Applications (9 papers), Radiomics and Machine Learning in Medical Imaging (8 papers), Advanced X-ray and CT Imaging (4 papers), Digital Image Processing Techniques (4 papers), AI in cancer detection (3 papers), Anatomy and Medical Technology (2 papers) and Image Retrieval and Classification Techniques (2 papers). The work is most often cited by research in Computer Vision and Pattern Recognition (168 citations), Radiology, Nuclear Medicine and Imaging (139 citations), Hepatology (34 citations), Radiation (29 citations) and Neurology (26 citations). László Ruskó has collaborated with scholars based in Hungary, United States and Netherlands. Frequent co-authors include Márta Fidrich, Gábor Németh, Attila Kuba, Zoltán Kiss, Jean‐François Deux, Antal Nagy, J. Tran-Van-Nhieu, Alain Luciani, M. Balaskó and Alain Rahmouni. Their work appears in journals such as International Journal of Computer Assisted Radiology and Surgery, Nuclear Instruments and Methods in Physics Research Section A Accelerators Spectrometers Detectors and Associated Equipment, Radiotherapy and Oncology, International Journal of Radiation Oncology*Biology*Physics and Neurocomputing.

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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