Filip Sadlo
- Computer Graphics and Computer-Aided Design top 0.5%
- Computer Vision and Pattern Recognition top 2%
- Computational Mechanics top 5%
- Statistical and Nonlinear Physics top 5%
- Signal Processing top 10%
- Co-authors
- Ronald PeikertDaniel WeiskopfThomas ErtlSteffen FreyMarcel HlawatschDaniel CottingChristian SiggMarkus Groß
- Topics
- Computer Graphics and Visualization Techniques (38 papers)Data Visualization and Analytics (19 papers)Advanced Vision and Imaging (18 papers)
- Cited by
- Computer Graphics and Computer-Aided DesignComputer Vision and Pattern RecognitionComputational Mechanics
- Partner nations
- GermanySwitzerlandBrazil
In The Last Decade
Filip Sadlo
70 papers receiving 941 citations
Peers
Comparison fields: 5 of 101
- Computer Graphics and Computer-Aided Design 503
- Computer Vision and Pattern Recognition 491
- Computational Mechanics 342
- Statistical and Nonlinear Physics 133
- Signal Processing 79
Countries citing papers authored by Filip Sadlo
This map shows the geographic impact of Filip Sadlo'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 Filip Sadlo with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Filip Sadlo more than expected).
Fields of papers citing papers by Filip Sadlo
This network shows the impact of papers produced by Filip Sadlo. 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 Filip Sadlo. The network helps show where Filip Sadlo may publish in the future.
Co-authorship network of co-authors of Filip Sadlo
This figure shows the co-authorship network connecting the top 25 collaborators of Filip Sadlo. A scholar is included among the top collaborators of Filip Sadlo 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 Filip Sadlo. Filip Sadlo 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 | 1 | |
| 3 | 0 | |
| 4 | 1 | |
| 5 | 0 | |
| 6 | 0 | |
| 7 | 23 | |
| 8 | 8 | |
| 9 | An initial study on high-dimensional data visualization through subspace clustering | 0 |
| 10 | 26 | |
| 11 | Space-time Visualization of Dynamics in Lagrangian Coherent Structures of Time-dependent 2D Vector Fields. | 3 |
| 12 | 23 | |
| 13 | 23 | |
| 14 | 8 | |
| 15 | 54 | |
| 16 | 5 | |
| 17 | Delocalized Unsteady Vortex Region Detectors. | 10 |
| 18 | 23 | |
| 19 | 119 | |
| 20 | 20 |
About Filip Sadlo
Filip Sadlo is a scholar working on Computer Graphics and Computer-Aided Design, Computer Vision and Pattern Recognition and Computational Mathematics, having authored 78 papers that have together received 987 indexed citations. Recurring topics across this work include Computer Graphics and Visualization Techniques (38 papers), Data Visualization and Analytics (19 papers) and Advanced Vision and Imaging (18 papers). The work is most often cited by research in Computer Graphics and Computer-Aided Design (503 citations), Computer Vision and Pattern Recognition (491 citations) and Computational Mechanics (342 citations). Filip Sadlo has collaborated with scholars based in Germany, Switzerland and Brazil. Frequent co-authors include Ronald Peikert, Daniel Weiskopf, Thomas Ertl, Steffen Frey, Marcel Hlawatsch, Daniel Cotting, Christian Sigg, Markus Groß, Stephan Würmlin and Étienne Parkinson. Their work appears in journals such as Cell Reports, IEEE Transactions on Visualization and Computer Graphics and Cancers.
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.