Pavel Křížek

2.8k total citations · 1 hit paper
19 papers, 1.4k citations indexed

About

Pavel Křížek is a scholar working on Computer Vision and Pattern Recognition, Biophysics and Molecular Biology. According to data from OpenAlex, Pavel Křížek has authored 19 papers receiving a total of 1.4k indexed citations (citations by other indexed papers that have themselves been cited), including 8 papers in Computer Vision and Pattern Recognition, 7 papers in Biophysics and 5 papers in Molecular Biology. Recurrent topics in Pavel Křížek's work include Advanced Fluorescence Microscopy Techniques (7 papers), Advanced Neural Network Applications (5 papers) and Cell Image Analysis Techniques (4 papers). Pavel Křížek is often cited by papers focused on Advanced Fluorescence Microscopy Techniques (7 papers), Advanced Neural Network Applications (5 papers) and Cell Image Analysis Techniques (4 papers). Pavel Křížek collaborates with scholars based in Czechia, France and Egypt. Pavel Křížek's co-authors include Guy M. Hagen, Martin Ovesný, Zdeněk Švindrych, Ivan Raška, Tomáš Lukeš, Karel Fliegel, Senthil Yogamani, Michal Uřičář, Michal Křı́žek and Miloš Klíma and has published in prestigious journals such as Bioinformatics, Optics Express and Journal of Theoretical Biology.

In The Last Decade

Pavel Křížek

18 papers receiving 1.3k citations

Hit Papers

align trajectories

What are hit papers?

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.

ThunderSTORM: a comprehensive ImageJ plug-in for PALM and STORM data analysis and super-resolution imaging

2014 1.0k citations Martin Ovesný, Pavel Křížek et al. Bioinformatics profile →

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name	h						Papers	Cites
Pavel Křížek Czechia	13	755	504	342	271	142	19	1.4k
Thomas Pengo United States	19	655 0.9×	723 1.4×	286 0.8×	244 0.9×	78 0.5×	38	1.6k
Bassam Hajj France	15	596 0.8×	1.1k 2.2×	253 0.7×	157 0.6×	187 1.3×	28	1.7k
Yiming Li China	15	674 0.9×	310 0.6×	287 0.8×	353 1.3×	121 0.9×	42	1000
Juliette Griffié United Kingdom	14	688 0.9×	376 0.7×	257 0.8×	274 1.0×	108 0.8×	24	1.1k
Martin Ovesný Czechia	5	676 0.9×	476 0.9×	299 0.9×	254 0.9×	121 0.9×	5	1.2k
Zdeněk Švindrych Czechia	16	749 1.0×	652 1.3×	409 1.2×	247 0.9×	131 0.9×	34	1.6k
Sripad Ram United States	21	1.3k 1.7×	585 1.2×	665 1.9×	372 1.4×	314 2.2×	58	2.1k
Sheng Liu China	17	622 0.8×	206 0.4×	437 1.3×	296 1.1×	151 1.1×	67	1.1k
Sebastian Haase Germany	10	588 0.8×	648 1.3×	303 0.9×	197 0.7×	121 0.9×	21	1.3k
Lucien E. Weiss Israel	18	767 1.0×	484 1.0×	571 1.7×	242 0.9×	270 1.9×	40	1.6k

Countries citing papers authored by Pavel Křížek

Since Specialization

Citations

This map shows the geographic impact of Pavel Křížek'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 Pavel Křížek with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Pavel Křížek more than expected).

Fields of papers citing papers by Pavel Křížek

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Pavel Křížek. 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 Pavel Křížek. The network helps show where Pavel Křížek may publish in the future.

Co-authorship network of co-authors of Pavel Křížek

This figure shows the co-authorship network connecting the top 25 collaborators of Pavel Křížek. A scholar is included among the top collaborators of Pavel Křížek 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 Pavel Křížek. Pavel Křížek is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

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19 of 19 papers shown

Rashed, Hazem, et al.. (2019). Optical Flow Augmented Semantic Segmentation Networks for Automated Driving. 165–172. 9 indexed citations

Rashed, Hazem, et al.. (2019). Optical Flow Augmented Semantic Segmentation Networks for Automated Driving. 165–172. 14 indexed citations

Uřičář, Michal, et al.. (2019). Challenges in Designing Datasets and Validation for Autonomous Driving. 653–659. 7 indexed citations

Das, Arindam, et al.. (2019). Design of Real-time Semantic Segmentation Decoder for Automated Driving. 393–400. 1 indexed citations

Uřičář, Michal, et al.. (2019). Desoiling Dataset: Restoring Soiled Areas on Automotive Fisheye Cameras. 4273–4279. 19 indexed citations

Uřičář, Michal, et al.. (2019). Challenges in Designing Datasets and Validation for Autonomous Driving. 653–659. 3 indexed citations

Uřičář, Michal, et al.. (2019). Yes, we GAN: Applying adversarial techniques for autonomous driving. Electronic Imaging. 31(15). 48–1. 26 indexed citations

Das, Arindam, et al.. (2019). Design of Real-time Semantic Segmentation Decoder for Automated Driving. 393–400. 12 indexed citations

Křížek, Pavel, Tomáš Lukeš, Martin Ovesný, Karel Fliegel, & Guy M. Hagen. (2015). SIMToolbox: a MATLAB toolbox for structured illumination fluorescence microscopy. Bioinformatics. 32(2). 318–320. 57 indexed citations

10.

Kováčik, Ľubomír, Adam Schröfel, Magdalena Skalnı́ková, et al.. (2014). Separation of replication and transcription domains in nucleoli. Journal of Structural Biology. 188(3). 259–266. 33 indexed citations

11.

Ovesný, Martin, Pavel Křížek, Zdeněk Švindrych, & Guy M. Hagen. (2014). High density 3D localization microscopy using sparse support recovery. Optics Express. 22(25). 31263–31263. 15 indexed citations

12.

Hagen, Guy M., et al.. (2014). Optical Lattices on Wings ofApaturaButterflies. Entomological News. 124(3). 176–185. 1 indexed citations

13.

Lukeš, Tomáš, Guy M. Hagen, Pavel Křížek, et al.. (2014). Comparison of image reconstruction methods for structured illumination microscopy. Proceedings of SPIE, the International Society for Optical Engineering/Proceedings of SPIE. 9129. 91293J–91293J. 17 indexed citations

14.

Ovesný, Martin, et al.. (2014). ThunderSTORM: a comprehensive ImageJ plug-in for PALM and STORM data analysis and super-resolution imaging. Bioinformatics. 30(16). 2389–2390. 1019 indexed citations breakdown →

15.

Lukeš, Tomáš, Pavel Křížek, Zdeněk Švindrych, et al.. (2014). Three-dimensional super-resolution structured illumination microscopy with maximum a posteriori probability image estimation. Optics Express. 22(24). 29805–29805. 43 indexed citations

16.

Křı́žek, Michal & Pavel Křížek. (2012). Why has nature invented three stop codons of DNA and only one start codon?. Journal of Theoretical Biology. 304. 183–187. 16 indexed citations

17.

Křížek, Pavel, Ivan Raška, & Guy M. Hagen. (2012). Flexible structured illumination microscope with a programmable illumination array. Optics Express. 20(22). 24585–24585. 48 indexed citations

18.

Křížek, Pavel, Ivan Raška, & Guy M. Hagen. (2011). Minimizing detection errors in single molecule localization microscopy. Optics Express. 19(4). 3226–3226. 29 indexed citations

19.

Křížek, Pavel, Josef Kittler, & Václav Hlaváč. (2008). Feature condensing algorithm for feature selection. Proceedings - International Conference on Pattern Recognition. 1451. 1–4. 2 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.

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