Daniel Socek

738 citations
29 papers · 596 · h-index 12

Impact in

Papers in

Daniel Socek

28 papers receiving 532 citations

Peers

Daniel Socek
Comparison fields: 5 of 26
  • Computer Vision and Pattern Recognition 476
  • Signal Processing 33
  • Artificial Intelligence 110
  • Computational Mathematics 1
  • Information Systems 36
Replace Yonghyun Kim with:
Yonghyun Kim South Korea
Tong Qiao China
Ling Du China
Tengfei Yang China
Jen-Hao Hsiao United States
Maroti Deshmukh India
Cuicui Kang China
Xiangli Xiao China
Paweł Korus Poland
Daniel Socek relative to Yonghyun Kim South Korea Yonghyun Kim's profile →
Citations per field
00.5×5×10×15×20×
Yonghyun Kim · 1×
Citations per year

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).

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.

Co-authors

The 12 scholars most cited alongside Daniel Socek, 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 Socek Line = papers co-authored together Daniel Socek links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 29 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2007139
2 201164
3 200561
4
Enhanced 1-D Chaotic Key-Based Algorithm for Image Encryption
200555
5 200637
6 200636
7 200735
8 200529
9 200726
10 200417
11
Multimedia Encryption and Watermarking (Multimedia Systems and Applications)
200516
12 200714
13 200511
14 200610
15 20047
16 20067
17
Design and implementation of an optical flow-based autonomous video surveillance system
20086
18 20045
19 20063
20 20073

About Daniel Socek

Daniel Socek is a scholar working on Computer Vision and Pattern Recognition, Signal Processing, Artificial Intelligence, Information Systems and Nuclear Energy and Engineering, having authored 29 papers that have together received 596 indexed citations. Recurring topics across this work include Chaos-based Image/Signal Encryption (13 papers), Video Surveillance and Tracking Methods (5 papers), Biometric Identification and Security (4 papers), Cryptography and Data Security (4 papers), Advanced Steganography and Watermarking Techniques (4 papers), User Authentication and Security Systems (1 paper), Visual Attention and Saliency Detection (1 paper) and Cryptographic Implementations and Security (1 paper). The work is most often cited by research in Computer Vision and Pattern Recognition (476 citations), Signal Processing (33 citations), Artificial Intelligence (110 citations), Computational Mathematics (1 citation) and Information Systems (36 citations). Daniel Socek has collaborated with scholars based in United States, Hungary and Serbia. Frequent co-authors include Borko Furht, Dubravko R. Culibrk, Oge Marques, Hari Kalva, Spyros S. Magliveras, Edin Muharemagic, Ahmet M. Eskicioğlu, Rainer Steinwandt, SJ Li and Shujun Li. Their work appears in journals such as Designs Codes and Cryptography, Multimedia Systems, EURASIP Journal on Information Security, Lecture notes in computer science and International Journal of Computer Mathematics.

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.

Explore authors with similar magnitude of impact