This map shows the geographic impact of Vojtěch Franc'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 Vojtěch Franc with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Vojtěch Franc more than expected).
This network shows the impact of papers produced by Vojtěch Franc. 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 Vojtěch Franc. The network helps show where Vojtěch Franc may publish in the future.
Co-authorship network of co-authors of Vojtěch Franc
This figure shows the co-authorship network connecting the top 25 collaborators of Vojtěch Franc.
A scholar is included among the top collaborators of Vojtěch Franc 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 Vojtěch Franc. Vojtěch Franc is excluded from
the visualization to improve readability, since they are connected to all nodes in the network.
Franc, Vojtěch & Daniel Průša. (2019). On discriminative learning of prediction uncertainty. International Conference on Machine Learning. 1963–1971.6 indexed citations
3.
Franc, Vojtěch, et al.. (2018). Visual Heart Rate Estimation with Convolutional Neural Network.. British Machine Vision Conference. 84.189 indexed citations
4.
Franc, Vojtěch, et al.. (2018). License Plate Recognition and Super-resolution from Low-Resolution Videos by Convolutional Neural Networks.. British Machine Vision Conference. 132.8 indexed citations
Franc, Vojtěch, et al.. (2014). Interval Insensitive Loss for Ordinal Classification. Asian Conference on Machine Learning. 189–204.2 indexed citations
Šára, Radim, et al.. (2013). RANSACing Optical Image Sequences for GEO and near-GEO Objects. Advanced Maui Optical and Space Surveillance Technologies Conference.9 indexed citations
Franc, Vojtěch, Alexander Zien, & Bernhard Sch lkopf. (2011). Support Vector Machines as Probabilistic Models. Max Planck Institute for Plasma Physics. 665–672.31 indexed citations
15.
Sonnenburg, Soeren & Vojtěch Franc. (2010). COFFIN: A Computational Framework for Linear SVMs. Max Planck Institute for Plasma Physics. 999–1006.38 indexed citations
16.
Franc, Vojtěch & Sören Sonnenburg. (2009). Optimized Cutting Plane Algorithm for Large-Scale Risk Minimization. Max Planck Institute for Plasma Physics. 10(76). 2157–2192.43 indexed citations
17.
Franc, Vojtěch & Bogdan Savchynskyy. (2008). Discriminative Learning of Max-Sum Classifiers. Journal of Machine Learning Research. 9(4). 67–104.13 indexed citations
Pošík, Petr & Vojtěch Franc. (2007). Estimation of fitness landscape contours in EAs. Publikationsdatenbank der Fraunhofer-Gesellschaft (Fraunhofer-Gesellschaft). 562–569.10 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.