László Varga
Impact in
- Ophthalmology top 10%
- Retinal Diseases and Treatments
-
- Medical Imaging Techniques and Applications
- Retinal Imaging and Analysis
Papers in
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- Medical Imaging Techniques and Applications 7
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- Digital Image Processing Techniques 6
- Medical Image Segmentation Techniques 5
- Co-authors
- Antal Nagy (6 shared papers)Péter Balázs (6 shared papers)Péter Kiss (1 shared paper)Imre M. Jánosi (1 shared paper)Tamás Grósz (1 shared paper)József Dombi (1 shared paper)I. Demeter (1 shared paper)L. Keszthelyi (1 shared paper)
- Journals
- Graphical Models (1 paper)The Visual Computer (1 paper)Measurement Science and Technology (1 paper)Computer Methods and Programs in Biomedicine (1 paper)Analytical Biochemistry (1 paper)
- Partner nations
- HungaryUnited Kingdom
In The Last Decade
László Varga
15 papers receiving 130 citations
Peers
Comparison fields: 5 of 52
- Ophthalmology 30
- Radiology, Nuclear Medicine and Imaging 64
- Computer Vision and Pattern Recognition 35
- Radiation 13
- Global and Planetary Change 18
Countries citing papers authored by László Varga
This map shows the geographic impact of László Varga'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 Varga with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites László Varga more than expected).
Fields of papers citing papers by László Varga
This network shows the impact of papers produced by László Varga. 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 Varga. The network helps show where László Varga may publish in the future.
Co-authors
The 14 scholars most cited alongside László Varga, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2019 | 34 | |
| 2 | 2009 | 29 | |
| 3 | 2011 | 16 | |
| 4 | 1984 | 15 | |
| 5 | 2011 | 8 | |
| 6 | 2013 | 5 | |
| 7 | 2005 | 4 | |
| 8 | 2021 | 3 | |
| 9 | 1984 | 3 | |
| 10 | 2014 | 3 | |
| 11 | 2003 | 3 | |
| 12 | 2015 | 3 | |
| 13 | 2014 | 2 | |
| 14 | 2022 | 2 | |
| 15 | 2007 | 2 | |
| 16 | 2024 | 0 | |
| 17 | 2014 | 0 |
About László Varga
László Varga is a scholar working on Radiology, Nuclear Medicine and Imaging, Computer Vision and Pattern Recognition, Electrical and Electronic Engineering, Biomedical Engineering and Finance, having authored 17 papers that have together received 132 indexed citations. Recurring topics across this work include Medical Imaging Techniques and Applications (7 papers), Digital Image Processing Techniques (6 papers), Medical Image Segmentation Techniques (5 papers), Energy Load and Power Forecasting (3 papers), Financial Risk and Volatility Modeling (2 papers), Hydrology and Drought Analysis (2 papers), Advanced X-ray Imaging Techniques (1 paper) and Electron and X-Ray Spectroscopy Techniques (1 paper). The work is most often cited by research in Ophthalmology (30 citations), Radiology, Nuclear Medicine and Imaging (64 citations), Computer Vision and Pattern Recognition (35 citations), Radiation (13 citations) and Global and Planetary Change (18 citations). László Varga has collaborated with scholars based in Hungary and United Kingdom. Frequent co-authors include Antal Nagy, Péter Balázs, Péter Kiss, Imre M. Jánosi, Tamás Grósz, József Dombi, I. Demeter, L. Keszthelyi, László G. Nyúl and József Vitrai. Their work appears in journals such as Graphical Models, The Visual Computer, Measurement Science and Technology, Computer Methods and Programs in Biomedicine and Analytical Biochemistry.
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.