Lilla Boroczky
- Radiology, Nuclear Medicine and Imaging top 10%
- Pulmonary and Respiratory Medicine
- Computer Vision and Pattern Recognition top 10%
- Artificial Intelligence top 10%
- Signal Processing top 10%
- Co-authors
- Liang ZhaoMichael LeeAlain BorczukCharles A. PowellSteven M. KawutCharles S. WhiteEkta DharaiyaJ.N. Driessen
- Topics
- Video Coding and Compression Technologies (12 papers)Radiomics and Machine Learning in Medical Imaging (10 papers)Advanced Image Processing Techniques (9 papers)
- Cited by
- Radiology, Nuclear Medicine and ImagingSignal ProcessingComputer Vision and Pattern Recognition
- Journals
- RadiologyAmerican Journal of RoentgenologyIEEE Transactions on Circuits and Systems for Video Technology
- Partner nations
- United StatesFinlandHungary
In The Last Decade
Lilla Boroczky
26 papers receiving 333 citations
Peers
Comparison fields: 5 of 53
- Radiology, Nuclear Medicine and Imaging 168
- Pulmonary and Respiratory Medicine 156
- Computer Vision and Pattern Recognition 125
- Artificial Intelligence 113
- Signal Processing 72
Countries citing papers authored by Lilla Boroczky
This map shows the geographic impact of Lilla Boroczky'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 Lilla Boroczky with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Lilla Boroczky more than expected).
Fields of papers citing papers by Lilla Boroczky
This network shows the impact of papers produced by Lilla Boroczky. 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 Lilla Boroczky. The network helps show where Lilla Boroczky may publish in the future.
Co-authorship network of co-authors of Lilla Boroczky
This figure shows the co-authorship network connecting the top 25 collaborators of Lilla Boroczky. A scholar is included among the top collaborators of Lilla Boroczky 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 Lilla Boroczky. Lilla Boroczky is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 34 | |
| 2 | 102 | |
| 3 | 3 | |
| 4 | 3 | |
| 5 | 65 | |
| 6 | 7 | |
| 7 | 13 | |
| 8 | 1 | |
| 9 | 2 | |
| 10 | 1 | |
| 11 | 1 | |
| 12 | 4 | |
| 13 | 6 | |
| 14 | 8 | |
| 15 | 17 | |
| 16 | 28 | |
| 17 | 1 | |
| 18 | 18 | |
| 19 | 0 | |
| 20 | 4 |
About Lilla Boroczky
Lilla Boroczky is a scholar working on Signal Processing, Computer Vision and Pattern Recognition and Radiology, Nuclear Medicine and Imaging, having authored 30 papers that have together received 358 indexed citations. Recurring topics across this work include Video Coding and Compression Technologies (12 papers), Radiomics and Machine Learning in Medical Imaging (10 papers) and Advanced Image Processing Techniques (9 papers). The work is most often cited by research in Radiology, Nuclear Medicine and Imaging (168 citations), Signal Processing (72 citations) and Computer Vision and Pattern Recognition (125 citations). Lilla Boroczky has collaborated with scholars based in United States, Finland and Hungary. Frequent co-authors include Liang Zhao, Michael Lee, Alain Borczuk, Charles A. Powell, Steven M. Kawut, Charles S. White, Ekta Dharaiya, J.N. Driessen, J. Biemond and Yibin Yang. Their work appears in journals such as Radiology, American Journal of Roentgenology and IEEE Transactions on Circuits and Systems for Video Technology.
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.