Daniel Socek

9 papers and 227 indexed citations i.

About

Daniel Socek is a scholar working on Computer Vision and Pattern Recognition, Artificial Intelligence and Computational Theory and Mathematics. According to data from OpenAlex, Daniel Socek has authored 9 papers receiving a total of 227 indexed citations (citations by other indexed papers that have themselves been cited), including 7 papers in Computer Vision and Pattern Recognition, 5 papers in Artificial Intelligence and 1 paper in Computational Theory and Mathematics. Recurrent topics in Daniel Socek’s work include Chaos-based Image/Signal Encryption (4 papers), Cryptographic Implementations and Security (4 papers) and Advanced Steganography and Watermarking Techniques (3 papers). Daniel Socek is often cited by papers focused on Chaos-based Image/Signal Encryption (4 papers), Cryptographic Implementations and Security (4 papers) and Advanced Steganography and Watermarking Techniques (3 papers). Daniel Socek collaborates with scholars based in United States, Hong Kong and Hungary. Daniel Socek's co-authors include Borko Furht, Dubravko Ćulibrk, Oge Marques, Hari Kalva, Spyros S. Magliveras, Rainer Steinwandt, Edin Muharemagic, Shujun Li and Humberto Remigio Gamba and has published in prestigious journals such as Multimedia Systems, Designs Codes and Cryptography and International Journal of Computer Mathematics.

In The Last Decade

Co-authorship network of co-authors of Daniel Socek i

Fields of papers citing papers by Daniel Socek

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Daniel Socek

Since Specialization
Citations

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

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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2025