Pavol Federl
- Plant Science top 10%
- Computer Vision and Pattern Recognition top 10%
- Computer Graphics and Computer-Aided Design top 5%
- Molecular Biology
- Mechanical Engineering
- Co-authors
- Przemysław PrusinkiewiczAdam RunionsAnne‐Gaëlle Rolland‐LaganBrendan LaneJ. R. ParkerRadoslaw KarwowskiChristophe GodinFrédéric Boudon
- Topics
- Greenhouse Technology and Climate Control (3 papers)Data Visualization and Analytics (2 papers)Computer Graphics and Visualization Techniques (2 papers)
- Journals
- ACM Transactions on GraphicsComputer Graphics ForumPRISM (University of Calgary)
In The Last Decade
Pavol Federl
11 papers receiving 450 citations
Peers
Comparison fields: 5 of 80
- Plant Science 249
- Computer Vision and Pattern Recognition 115
- Computer Graphics and Computer-Aided Design 83
- Molecular Biology 82
- Mechanical Engineering 78
Countries citing papers authored by Pavol Federl
This map shows the geographic impact of Pavol Federl'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 Pavol Federl with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Pavol Federl more than expected).
Fields of papers citing papers by Pavol Federl
This network shows the impact of papers produced by Pavol Federl. 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 Pavol Federl. The network helps show where Pavol Federl may publish in the future.
Co-authorship network of co-authors of Pavol Federl
This figure shows the co-authorship network connecting the top 25 collaborators of Pavol Federl. A scholar is included among the top collaborators of Pavol Federl 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 Pavol Federl. Pavol Federl is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | Remote Visualization of Large Multi-dimensional Radio Astronomy Data Sets | 2 |
| 2 | On-Line Access and Visualization of Multi-Dimensional FITS Data | 5 |
| 3 | 180 | |
| 4 | 194 | |
| 5 | 16 | |
| 6 | Modeling fracture formation on growing surfaces | 7 |
| 7 | 46 | |
| 8 | 2 | |
| 9 | Virtual Laboratory: An Interactive Software Environment for Computer Graphics | 5 |
| 10 | 32 | |
| 11 | An Approach To Licence Plate Recognition | 12 |
About Pavol Federl
Pavol Federl is a scholar working on Computer Graphics and Computer-Aided Design, Computer Vision and Pattern Recognition and Philosophy, having authored 11 papers that have together received 501 indexed citations. Recurring topics across this work include Greenhouse Technology and Climate Control (3 papers), Data Visualization and Analytics (2 papers) and Computer Graphics and Visualization Techniques (2 papers). The work is most often cited by research in Computer Graphics and Computer-Aided Design (83 citations), Architecture (15 citations) and Plant Science (249 citations). Pavol Federl has collaborated with scholars based in Canada, Germany and France. Frequent co-authors include Przemysław Prusinkiewicz, Adam Runions, Anne‐Gaëlle Rolland‐Lagan, Brendan Lane, J. R. Parker, Radoslaw Karwowski, Christophe Godin, Frédéric Boudon, Mário Costa Sousa and Lisa Streit. Their work appears in journals such as ACM Transactions on Graphics, Computer Graphics Forum and PRISM (University of Calgary).
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.