Jaroslav Šeděnka

553 citations
5 papers · 376 indexed · 1 hit paper · h-index 5
Topics
User Authentication and Security Systems (4 papers)Biometric Identification and Security (3 papers)Advanced Steganography and Watermarking Techniques (2 papers)
Journals
IEEE Transactions on Information Forensics and SecurityVeřejné služby Informačního systému (Masarykiana Brunensis Universitas)

In The Last Decade

Jaroslav Šeděnka

5 papers receiving 366 citations

Hit Papers

HMOG: New Behavioral Biometric Features for Continuous Au...2015202620182022201550100150200250

Peers

Jaroslav Šeděnka
Comparison fields: 5 of 41
  • Information Systems 293
  • Signal Processing 244
  • Computer Vision and Pattern Recognition 106
  • Artificial Intelligence 82
  • Human-Computer Interaction 53
Replace Simon Eberz with:
Simon Eberz United Kingdom
Rajkumar Janakiraman Singapore
Brandon Barbello United States
Margit Antal Romania
Kevin S. Killourhy United States
Ahmed Awad E. Ahmed Canada
Shridatt Sugrim United States
Liang Cai China
Guixin Ye China
Jaroslav Šeděnka relative to Simon Eberz United Kingdom Simon Eberz's profile →
Citations per field
00.5×
Simon Eberz · 1×
Citations per year

Countries citing papers authored by Jaroslav Šeděnka

Since Specialization
Citations

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

Fields of papers citing papers by Jaroslav Šeděnka

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Jaroslav Šeděnka

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

All Works

5 of 5 papers shown
#WorkIndexed citations
1 34
2
HMOG: New Behavioral Biometric Features for Continuous Authentication of Smartphone Usersbreakdown →
269
3 34
4 5
5 34

About Jaroslav Šeděnka

Jaroslav Šeděnka is a scholar working on Signal Processing, Information Systems and Computer Vision and Pattern Recognition, having authored 5 papers that have together received 376 indexed citations. Recurring topics across this work include User Authentication and Security Systems (4 papers), Biometric Identification and Security (3 papers) and Advanced Steganography and Watermarking Techniques (2 papers). The work is most often cited by research in Signal Processing (244 citations), Information Systems (293 citations) and Human-Computer Interaction (53 citations). Jaroslav Šeděnka has collaborated with scholars based in United States, Czechia and Canada. Frequent co-authors include Paolo Gasti, Kiran S. Balagani, Qing Yang, Gang Zhou, Zdeňka Sitová, Peng Ge and Vir V. Phoha. Their work appears in journals such as IEEE Transactions on Information Forensics and Security and Veřejné služby Informačního systému (Masarykiana Brunensis Universitas).

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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