Daniel Soukup

433 citations
23 papers · 344 · h-index 8

Impact in

Papers in

    • Optical measurement and interference techniques 6
    • Advanced Vision and Imaging 4
    • Image and Object Detection Techniques 4
    • Image Retrieval and Classification Techniques 4
    • Currency Recognition and Detection 4
    • Image Processing Techniques and Applications 6
    • Advanced Optical Imaging Technologies 3

Daniel Soukup

21 papers receiving 327 citations

Peers

Daniel Soukup
Comparison fields: 5 of 54
  • Industrial and Manufacturing Engineering 175
  • Computer Vision and Pattern Recognition 162
  • Civil and Structural Engineering 115
  • Media Technology 43
  • Geology 19
Replace Reinhold Huber-Mörk with:
Reinhold Huber-Mörk Austria
Matti Niskanen Finland
Lingteng Qiu China
Jinquan Li China
Jae-Han Lee South Korea
Zhigang Ling China
Weibo Huang China
Yuehua Li China
Daniel Soukup relative to Reinhold Huber-Mörk Austria Reinhold Huber-Mörk's profile →
Citations per field
00.5×1.5×
Reinhold Huber-Mörk · 1×
Citations per year

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-authors

The 11 scholars most cited alongside Daniel Soukup, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Daniel Soukup Line = papers co-authored together Daniel Soukup links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 23 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2014241
2 200814
3 201412
4 20159
5 20199
6 20178
7 20158
8 20097
9 20226
10 20146
11 20074
12 20123
13 20193
14 20082
15 20172
16 20152
17 20152
18 20112
19 20172
20 20141

About Daniel Soukup

Daniel Soukup is a scholar working on Computer Vision and Pattern Recognition, Media Technology, Industrial and Manufacturing Engineering, Atomic and Molecular Physics, and Optics and Computational Mechanics, having authored 23 papers that have together received 344 indexed citations. Recurring topics across this work include Optical measurement and interference techniques (6 papers), Industrial Vision Systems and Defect Detection (6 papers), Image Processing Techniques and Applications (6 papers), Advanced Vision and Imaging (4 papers), Image and Object Detection Techniques (4 papers), Image Retrieval and Classification Techniques (4 papers), Currency Recognition and Detection (4 papers) and Advanced Optical Imaging Technologies (3 papers). The work is most often cited by research in Industrial and Manufacturing Engineering (175 citations), Computer Vision and Pattern Recognition (162 citations), Civil and Structural Engineering (115 citations), Media Technology (43 citations) and Geology (19 citations). Daniel Soukup has collaborated with scholars based in Austria, Slovakia and Switzerland. Frequent co-authors include Reinhold Huber-Mörk, Svorad Štolc, Dorothea Heiss-Czedik, Matthias Scheutz, Ulrich Bodenhofer, Konrad Mayer, Thomas Pock, Erich Kobler, Kerstin Hammernik and Csaba Beleznai. Their work appears in journals such as Computational Intelligence and Neuroscience, Image and Vision Computing, Advances in computer vision and pattern recognition, Journal of Visual Communication and Image Representation and Electronics.

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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