David Soukal

1.7k citations
17 papers · 1.1k · h-index 14

Impact in

Papers in

David Soukal

17 papers receiving 991 citations

Peers

David Soukal
Comparison fields: 5 of 25
  • Computer Vision and Pattern Recognition 1.1k
  • Signal Processing 74
  • Artificial Intelligence 195
  • Computational Theory and Mathematics 92
  • Media Technology 25
Replace Andrew D. Ker with:
Andrew D. Ker United Kingdom
Cheng-Hsing Yang Taiwan
Tomáš Filler United States
Young‐Chang Hou Taiwan
Pedro Comesaña Spain
Xiangli Xiao China
M.U. Celik United States
María Naya‐Plasencia France
Fangjun Huang China
Ibrahim Elashry Egypt
David Soukal relative to Andrew D. Ker United Kingdom Andrew D. Ker's profile →
Citations per field
00.5×1.7×
Andrew D. Ker · 1×
Citations per year

Countries citing papers authored by David Soukal

Since Specialization
Citations

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

Fields of papers citing papers by David Soukal

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 10 scholars most cited alongside David Soukal, 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 David Soukal Line = papers co-authored together David Soukal links everyone, so they are left out of the graph.

All Works

17 of 17 papers shown
#Work
1 2006192
2 2005176
3 2003118
4 2004100
5 200588
6 200688
7 200375
8 200562
9 200462
10 200534
11 200632
12 200531
13 200516
14 201015
15
Intention and Origination: An Inside Look at Large-Scale Bot Queries.
201312
16 200611
17
Advanced steganographic and steganalytic methods in the spatial domain
20062

About David Soukal

David Soukal is a scholar working on Computer Vision and Pattern Recognition, Artificial Intelligence, Computational Theory and Mathematics, Computer Networks and Communications and Information Systems, having authored 17 papers that have together received 1.1k indexed citations. Recurring topics across this work include Advanced Steganography and Watermarking Techniques (15 papers), Chaos-based Image/Signal Encryption (12 papers), Digital Media Forensic Detection (8 papers), Cellular Automata and Applications (3 papers), Internet Traffic Analysis and Secure E-voting (3 papers), Spam and Phishing Detection (2 papers), Network Security and Intrusion Detection (2 papers) and Wireless Communication Security Techniques (1 paper). The work is most often cited by research in Computer Vision and Pattern Recognition (1.1k citations), Signal Processing (74 citations), Artificial Intelligence (195 citations), Computational Theory and Mathematics (92 citations) and Media Technology (25 citations). David Soukal has collaborated with scholars based in United States and Canada. Frequent co-authors include Jessica Fridrich, Miroslav Goljan, Petr Lisoněk, Taras Holotyak, Kuansan Wang, Zijian Zheng, Fang Yu, Junjie Zhang, Wenke Lee and Yinglian Xie. Their work appears in journals such as Multimedia Systems, IEEE Transactions on Information Forensics and Security, IEEE Transactions on Signal Processing, Proceedings of SPIE, the International Society for Optical Engineering/Proceedings of SPIE and Network and Distributed System Security Symposium.

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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