László Lefkovits
Impact in
- Neurology top 10%
- Brain Tumor Detection and Classification
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- Advanced Neural Network Applications
- Medical Image Segmentation Techniques
- Face and Expression Recognition
- Digital Imaging for Blood Diseases
Papers in
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- Medical Image Segmentation Techniques 8
- Face and Expression Recognition 7
- Image Retrieval and Classification Techniques 4
- Advanced Neural Network Applications 3
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- Brain Tumor Detection and Classification 8
- Journals
- Studies in Informatics and Control (1 paper)Applied Sciences (1 paper)Mathematics (1 paper)Procedia Technology (2 papers)DOAJ (DOAJ: Directory of Open Access Journals) (4 papers)
In The Last Decade
László Lefkovits
23 papers receiving 173 citations
Peers
Comparison fields: 5 of 49
- Neurology 83
- Computer Vision and Pattern Recognition 106
- Signal Processing 26
- Artificial Intelligence 44
- Biophysics 7
Countries citing papers authored by László Lefkovits
This map shows the geographic impact of László Lefkovits'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 Lefkovits with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites László Lefkovits more than expected).
Fields of papers citing papers by László Lefkovits
This network shows the impact of papers produced by László Lefkovits. 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 Lefkovits. The network helps show where László Lefkovits may publish in the future.
Co-authors
The 3 scholars most cited alongside László Lefkovits, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 24 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2015 | 36 | |
| 2 | 2017 | 23 | |
| 3 | 2018 | 21 | |
| 4 | 2022 | 19 | |
| 5 | 2022 | 9 | |
| 6 | Brain Tumor Segmentation Based on Random Forest | 2016 | 7 |
| 7 | 2019 | 7 | |
| 8 | 2020 | 6 | |
| 9 | 2017 | 6 | |
| 10 | 2017 | 6 | |
| 11 | 2018 | 6 | |
| 12 | 2015 | 5 | |
| 13 | 2016 | 5 | |
| 14 | 2016 | 4 | |
| 15 | 2017 | 4 | |
| 16 | 2022 | 3 | |
| 17 | 2015 | 2 | |
| 18 | 2015 | 1 | |
| 19 | 2017 | 1 | |
| 20 | 2016 | 1 |
About László Lefkovits
László Lefkovits is a scholar working on Computer Vision and Pattern Recognition, Neurology, Signal Processing, Media Technology and Surgery, having authored 24 papers that have together received 175 indexed citations. Recurring topics across this work include Medical Image Segmentation Techniques (8 papers), Brain Tumor Detection and Classification (8 papers), Face and Expression Recognition (7 papers), Biometric Identification and Security (7 papers), Remote-Sensing Image Classification (5 papers), Image Retrieval and Classification Techniques (4 papers), Advanced Neural Network Applications (3 papers) and Orthopedic Surgery and Rehabilitation (2 papers). The work is most often cited by research in Neurology (83 citations), Computer Vision and Pattern Recognition (106 citations), Signal Processing (26 citations), Artificial Intelligence (44 citations) and Biophysics (7 citations). László Lefkovits has collaborated with scholars based in Romania, Hungary and Vietnam. Frequent co-authors include László Szilágyi, Balázs Benyó and Z Szabó. Their work appears in journals such as Studies in Informatics and Control, Applied Sciences, Mathematics, Procedia Technology and DOAJ (DOAJ: Directory of Open Access Journals).
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.