László Ruskó

1.6k citations
25 papers · 341 · h-index 10

Impact in

Papers in

László Ruskó

25 papers receiving 329 citations

Peers

László Ruskó
Comparison fields: 5 of 48
  • Computer Vision and Pattern Recognition 184
  • Radiology, Nuclear Medicine and Imaging 128
  • Neurology 29
  • Health Informatics 5
  • Radiation 26
Replace Olivier Dourthe with:
Olivier Dourthe France
Grzegorz Chlebus Germany
Marc Bickel Austria
Laquan Li China
Rongpin Wang China
Ruida Cheng United States
Jonnison Lima Ferreira Brazil
Awais Mansoor United States
Alessa Hering Germany
Refael Vivanti Israel
László Ruskó relative to Olivier Dourthe France Olivier Dourthe's profile →
Citations per field
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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 25 papers — load more, or switch the sort, to bring in the rest.

#Work
1 200986
2
Fully automatic liver segmentation for contrast-enhanced CT images
200776
3 201224
4 201020
5 202218
6 201317
7 200515
8 200514
9 201311
10 200511
11 20058
12
SNARK05: A PROGRAMMING SYSTEM FOR THE RECONSTRUCTION OF 2D IMAGES FROM 1D PROJECTIONS
20087
13 20196
14 20025
15 20225
16 20214
17 20182
18 20052
19 20162
20 20112

About László Ruskó

László Ruskó is a scholar working on Computer Vision and Pattern Recognition, Radiology, Nuclear Medicine and Imaging, Biomedical Engineering, Artificial Intelligence and Radiation, having authored 25 papers that have together received 341 indexed citations. Recurring topics across this work include Medical Image Segmentation Techniques (13 papers), Radiomics and Machine Learning in Medical Imaging (8 papers), Medical Imaging Techniques and Applications (8 papers), Advanced X-ray and CT Imaging (4 papers), Digital Image Processing Techniques (4 papers), AI in cancer detection (3 papers), Advanced Radiotherapy Techniques (2 papers) and Anatomy and Medical Technology (2 papers). The work is most often cited by research in Computer Vision and Pattern Recognition (184 citations), Radiology, Nuclear Medicine and Imaging (128 citations), Neurology (29 citations), Health Informatics (5 citations) and Radiation (26 citations). László Ruskó has collaborated with scholars based in Hungary, United States and Spain. Frequent co-authors include Márta Fidrich, Gábor Németh, Attila Kuba, Zoltán Kiss, Antal Nagy, M. Balaskó, András Kriston, Alain Rahmouni, Jean‐François Deux and Alain Luciani. 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, Computer Methods and Programs in Biomedicine, Radiotherapy and Oncology and IEEE Transactions on Nuclear Science.

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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