Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies
if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the
same subfield and year (this is the minimum needed to enter the top 1%, not the average
within it), or reaches the top citation threshold in at least one of its specific research
topics.
Countries citing papers authored by Karol Myszkowski
Since
Specialization
Citations
This map shows the geographic impact of Karol Myszkowski'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 Karol Myszkowski with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Karol Myszkowski more than expected).
Fields of papers citing papers by Karol Myszkowski
This network shows the impact of papers produced by Karol Myszkowski. 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 Karol Myszkowski. The network helps show where Karol Myszkowski may publish in the future.
Co-authorship network of co-authors of Karol Myszkowski
This figure shows the co-authorship network connecting the top 25 collaborators of Karol Myszkowski.
A scholar is included among the top collaborators of Karol Myszkowski 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 Karol Myszkowski. Karol Myszkowski is excluded from
the visualization to improve readability, since they are connected to all nodes in the network.
Shekhar, Sumit, Matthias Ziegler, Karol Myszkowski, et al.. (2018). Light-Field Intrinsic Dataset. Max Planck Digital Library. 120.
5.
Kellnhofer, Petr, Tobias Ritschel, Karol Myszkowski, & Hans‐Peter Seidel. (2015). A transformation-aware perceptual image metric. Proceedings of SPIE, the International Society for Optical Engineering/Proceedings of SPIE. 9394. 939408–939408.2 indexed citations
6.
Vangorp, Peter, Karol Myszkowski, Erich W. Graf, & Rafał Mantiuk. (2015). A model of local adaptation. ACM Transactions on Graphics. 34(6). 1–13.23 indexed citations
Banterle, Francesco, Kurt Debattista, Alessandro Artusi, et al.. (2009). High Dynamic Range Imaging and LDR Expansion for Generating HDR Content. Max Planck Institute for Plasma Physics. 17–44.2 indexed citations
9.
Creem-Regehr, Sarah H. & Karol Myszkowski. (2008). Proceedings of the 5th symposium on Applied perception in graphics and visualization.3 indexed citations
Krawczyk, Grzegorz, Karol Myszkowski, & Hans‐Peter Seidel. (2007). Contrast Restoration by Adaptive Countershading. Max Planck Institute for Plasma Physics. 581–590.1 indexed citations
13.
Yoshida, Akiko, Volker Blanz, Karol Myszkowski, et al.. (2005). Perceptual Evaluation of Tone Mapping Operators with Real-World Sceness. Max Planck Institute for Plasma Physics. 192–203.3 indexed citations
Myszkowski, Karol & Alan Chalmers. (2002). Perception-Based Global Illumination, Rendering, and Animation Techniques. Max Planck Institute for Plasma Physics. 13–24.25 indexed citations
16.
Tawara, Takehiro, Karol Myszkowski, Hans‐Peter Seidel, et al.. (2002). Localizing the Final Gathering for Dynamic Scenes using the Photon Map. Max Planck Institute for Plasma Physics. 69–76.8 indexed citations
17.
Gortler, Steven J. & Karol Myszkowski. (2001). Rendering Techniques 2001: Proceedings of the 12th Eurographics Workshop on Rendering. Max Planck Institute for Plasma Physics.13 indexed citations
Haber, Jörg, Karol Myszkowski, Hitoshi Yamauchi, & Hans‐Peter Seidel. (2001). Perceptually Guided Corrective Splatting. Max Planck Institute for Plasma Physics.1 indexed citations
20.
Myszkowski, Karol, et al.. (1996). A virtual reality interface to an intelligent dental care system.. PubMed. 29. 400–10.9 indexed citations
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.