Egon Pasztor
- Computer Vision and Pattern Recognition top 0.5%
- Media Technology top 0.2%
- Computational Mechanics top 5%
- Computer Graphics and Computer-Aided Design top 5%
- Signal Processing top 10%
- Co-authors
- William T. FreemanThouis R. JonesK. R. JenningsMorwaread FarboodJoshua B. TenenbaumBrian A. Barsky
- Topics
- Advanced Vision and Imaging (3 papers)Computer Graphics and Visualization Techniques (2 papers)Advanced Numerical Analysis Techniques (2 papers)
- Cited by
- Media TechnologyComputer Vision and Pattern RecognitionComputer Graphics and Computer-Aided Design
- Journals
- ACM Transactions on GraphicsIEEE Computer Graphics and ApplicationsNeural Information Processing Systems
- Partner nations
- United StatesJapanIreland
In The Last Decade
Egon Pasztor
6 papers receiving 2.0k citations
Hit Papers
Peers
Comparison fields: 5 of 89
- Computer Vision and Pattern Recognition 2.0k
- Media Technology 1.0k
- Computational Mechanics 190
- Computer Graphics and Computer-Aided Design 82
- Signal Processing 71
Countries citing papers authored by Egon Pasztor
This map shows the geographic impact of Egon Pasztor'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 Egon Pasztor with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Egon Pasztor more than expected).
Fields of papers citing papers by Egon Pasztor
This network shows the impact of papers produced by Egon Pasztor. 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 Egon Pasztor. The network helps show where Egon Pasztor may publish in the future.
Co-authorship network of co-authors of Egon Pasztor
This figure shows the co-authorship network connecting the top 25 collaborators of Egon Pasztor. A scholar is included among the top collaborators of Egon Pasztor 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 Egon Pasztor. Egon Pasztor is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 66 | |
| 2 | 2 | |
| 3 | 48 | |
| 4 | Example-based super-resolutionbreakdown → | 1719 |
| 5 | 237 | |
| 6 | Learning to Estimate Scenes from Images | 44 |
About Egon Pasztor
Egon Pasztor is a scholar working on Computer Graphics and Computer-Aided Design, Computer Vision and Pattern Recognition and Human-Computer Interaction, having authored 6 papers that have together received 2.1k indexed citations. Recurring topics across this work include Advanced Vision and Imaging (3 papers), Computer Graphics and Visualization Techniques (2 papers) and Advanced Numerical Analysis Techniques (2 papers). The work is most often cited by research in Media Technology (1.0k citations), Computer Vision and Pattern Recognition (2.0k citations) and Computer Graphics and Computer-Aided Design (82 citations). Egon Pasztor has collaborated with scholars based in United States, Japan and Ireland. Frequent co-authors include William T. Freeman, Thouis R. Jones, K. R. Jennings, Morwaread Farbood, Joshua B. Tenenbaum and Brian A. Barsky. Their work appears in journals such as ACM Transactions on Graphics, IEEE Computer Graphics and Applications and Neural Information Processing Systems.
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.