Daniel Soukup

428 total citations
16 papers, 78 citations indexed

About

Daniel Soukup is a scholar working on Computer Vision and Pattern Recognition, Media Technology and Industrial and Manufacturing Engineering. According to data from OpenAlex, Daniel Soukup has authored 16 papers receiving a total of 78 indexed citations (citations by other indexed papers that have themselves been cited), including 12 papers in Computer Vision and Pattern Recognition, 7 papers in Media Technology and 3 papers in Industrial and Manufacturing Engineering. Recurrent topics in Daniel Soukup's work include Image Processing Techniques and Applications (5 papers), Optical measurement and interference techniques (4 papers) and Advanced Vision and Imaging (3 papers). Daniel Soukup is often cited by papers focused on Image Processing Techniques and Applications (5 papers), Optical measurement and interference techniques (4 papers) and Advanced Vision and Imaging (3 papers). Daniel Soukup collaborates with scholars based in Austria, Slovakia and Switzerland. Daniel Soukup's co-authors include Reinhold Huber-Mörk, Svorad Štolc, Dorothea Heiss-Czedik, Matthias Scheutz, Konrad Mayer and Ulrich Bodenhofer and has published in prestigious journals such as Image and Vision Computing, Electronics and Journal of Visual Communication and Image Representation.

In The Last Decade

Daniel Soukup

14 papers receiving 74 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Daniel Soukup Austria	7	54	21	11	9	7	16	78
Xuhua Huang Hong Kong	4	116 2.1×	22 1.0×	6 0.5×	4 0.4×	4 0.6×	4	145
Shaofan Cai China	3	202 3.7×	31 1.5×	8 0.7×	7 0.8×	5 0.7×	3	210
Thibault Napoléon France	7	112 2.1×	20 1.0×	17 1.5×	20 2.2×	3 0.4×	19	151
Reinhold Huber-Mörk Austria	7	77 1.4×	22 1.0×	4 0.4×	4 0.4×	13 1.9×	23	95
Yunhao Zou China	8	85 1.6×	41 2.0×	13 1.2×	3 0.3×	4 0.6×	10	136
Pablo Navarrete Michelini China	6	51 0.9×	26 1.2×	8 0.7×	4 0.4×		18	84
Heming Sun Japan	5	141 2.6×	17 0.8×	24 2.2×	9 1.0×	3 0.4×	14	204
Majed El Helou Switzerland	6	143 2.6×	93 4.4×	12 1.1×	7 0.8×	6 0.9×	18	170
Tae-Chan Kim South Korea	7	62 1.1×	22 1.0×	26 2.4×	3 0.3×	2 0.3×	31	113
Hengyuan Zhao China	6	150 2.8×	66 3.1×	7 0.6×	5 0.6×	3 0.4×	9	166

Countries citing papers authored by Daniel Soukup

Since Specialization

Citations

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

Fields of papers citing papers by Daniel Soukup

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Daniel Soukup

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

All Works

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16 of 16 papers shown

Soukup, Daniel, et al.. (2022). Autoencoders - A Comparative Analysis in the Realm of Anomaly Detection. 2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition Workshops (CVPRW). 1985–1991. 6 indexed citations

Soukup, Daniel, et al.. (2022). Industry-Fit AI Usage for Crack Detection in Ground Steel. Electronics. 11(17). 2643–2643.

Soukup, Daniel, et al.. (2019). Actual Impact of GAN Augmentation on CNN Classification Performance. 15–23. 3 indexed citations

Štolc, Svorad, et al.. (2019). Single Image Multi-Spectral Photometric Stereo Using a Split U-Shaped CNN. 481–483. 9 indexed citations

Soukup, Daniel & Reinhold Huber-Mörk. (2017). Mobile hologram verification with deep learning. 169–172. 1 indexed citations

Soukup, Daniel & Reinhold Huber-Mörk. (2017). Mobile hologram verification with deep learning. 9(1). 6 indexed citations

Soukup, Daniel, Svorad Štolc, & Reinhold Huber-Mörk. (2015). Analysis of optically variable devices using a photometric light-field approach. Proceedings of SPIE, the International Society for Optical Engineering/Proceedings of SPIE. 9409. 94090R–94090R. 7 indexed citations

Soukup, Daniel, et al.. (2015). Invariant characterization of DOVID security features using a photometric descriptor. 3422–3426. 7 indexed citations

Štolc, Svorad, et al.. (2014). Depth and all-in-focus images obtained by multi-line-scan light-field approach. Proceedings of SPIE, the International Society for Optical Engineering/Proceedings of SPIE. 9024. 902407–902407. 3 indexed citations

10.

Štolc, Svorad, et al.. (2014). Depth and all-in-focus imaging by a multi-line-scan light-field camera. Journal of Electronic Imaging. 23(5). 53020–53020. 12 indexed citations

11.

Huber-Mörk, Reinhold, et al.. (2009). Fast and efficient colour inspection using sets of ellipsoidal regions. 18(3). 345–361. 1 indexed citations

12.

Heiss-Czedik, Dorothea, et al.. (2009). Demosaicing algorithms for area- and line-scan cameras in print inspection. Journal of Visual Communication and Image Representation. 20(6). 389–398. 7 indexed citations

13.

Huber-Mörk, Reinhold & Daniel Soukup. (2009). Image super-resolution for line scan cameras based on a time delay super-resolution principle. 1. 129–134.

14.

Soukup, Daniel, et al.. (2008). Semi-automatic identification of print layers from a sequence of sample images: A case study from banknote print inspection. Image and Vision Computing. 27(8). 989–998. 2 indexed citations

15.

Soukup, Daniel, et al.. (2008). Robust Object Recognition under Partial Occlusions Using NMF. Computational Intelligence and Neuroscience. 2008. 1–14. 11 indexed citations

16.

Soukup, Daniel, et al.. (2007). Non-negative matrix factorization: a study on influence of matrix sparseness and subspace distance metrics on image object recognition. Proceedings of SPIE, the International Society for Optical Engineering/Proceedings of SPIE. 6356. 635614–635614. 3 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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