Judit Székely
- Co-authors
- Mária KoppJulian F. ThayerPiroska BalogAndrea SzékelyS GeröFerenc HorkayMiklós D. KertaiTamás Breuer
- Topics
- Radiomics and Machine Learning in Medical Imaging (2 papers)Hungarian Social, Economic and Educational Studies (2 papers)Medical Imaging Techniques and Applications (2 papers)
In The Last Decade
Judit Székely
10 papers receiving 269 citations
Peers
Comparison fields: 5 of 82
- Cardiology and Cardiovascular Medicine 119
- Immunology 70
- Social Psychology 61
- Surgery 51
- Epidemiology 31
Countries citing papers authored by Judit Székely
This map shows the geographic impact of Judit Székely'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 Judit Székely with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Judit Székely more than expected).
Fields of papers citing papers by Judit Székely
This network shows the impact of papers produced by Judit Székely. 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 Judit Székely. The network helps show where Judit Székely may publish in the future.
Co-authorship network of co-authors of Judit Székely
This figure shows the co-authorship network connecting the top 25 collaborators of Judit Székely. A scholar is included among the top collaborators of Judit Székely based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Judit Székely. Judit Székely is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 0 | |
| 2 | 0 | |
| 3 | 1 | |
| 4 | 4 | |
| 5 | 19 | |
| 6 | 144 | |
| 7 | [Cost-effective PET scans in oncology]. | 3 |
| 8 | [Cost-effective PET investigations in oncology]. | 1 |
| 9 | 10 | |
| 10 | 40 | |
| 11 | 59 | |
| 12 | 3 |
About Judit Székely
Judit Székely is a scholar working on Geography, Planning and Development, Energy Engineering and Power Technology and Internal Medicine, having authored 12 papers that have together received 284 indexed citations. Recurring topics across this work include Radiomics and Machine Learning in Medical Imaging (2 papers), Hungarian Social, Economic and Educational Studies (2 papers) and Medical Imaging Techniques and Applications (2 papers). The work is most often cited by research in Critical Care and Intensive Care Medicine (28 citations), Cardiology and Cardiovascular Medicine (119 citations) and Immunology (70 citations). Judit Székely has collaborated with scholars based in Hungary, Slovakia and Russia. Frequent co-authors include Mária Kopp, Julian F. Thayer, Piroska Balog, Andrea Székely, S Gerö, Ferenc Horkay, Miklós D. Kertai, Tamás Breuer, George Füst and G. Füst. Their work appears in journals such as Cellular and Molecular Life Sciences, Psychosomatic Medicine and Atherosclerosis.
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.