Jarek Duda

488 citations
8 papers · 84 · h-index 3

Impact in

Papers in

Jarek Duda

7 papers receiving 78 citations

Peers

Jarek Duda
Comparison fields: 5 of 26
  • Computer Vision and Pattern Recognition 44
  • Signal Processing 20
  • Computer Graphics and Computer-Aided Design 5
  • Artificial Intelligence 40
  • Hardware and Architecture 8
Replace Mohammad Mahmoody with:
Mohammad Mahmoody United States
Jianmin Guo China
Itai Dinur Israel
Guillaume Bagan France
André Schrottenloher France
Jiqiang Lu Singapore
Mario Lamberger Austria
Nicky Mouha Belgium
Xavier Bonnetain France
Kazumaro Aoki Japan
Jarek Duda relative to Mohammad Mahmoody United States Mohammad Mahmoody's profile →
Citations per field
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Mohammad Mahmoody · 1×
Citations per year

Countries citing papers authored by Jarek Duda

Since Specialization
Citations

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

Fields of papers citing papers by Jarek Duda

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 9 scholars most cited alongside Jarek Duda, 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 Jarek Duda Line = papers co-authored together Jarek Duda links everyone, so they are left out of the graph.

All Works

8 of 8 papers shown
#Work
1 201569
2
Asymmetric numeral systems as close to capacity low state entropy coders.
20137
3 20143
4 20222
5 20241
6
From maximal entropy random walk to quantum thermodynamics
20161
7 20231
8 20250

About Jarek Duda

Jarek Duda is a scholar working on Artificial Intelligence, Computer Vision and Pattern Recognition, Computer Networks and Communications, Information Systems and Statistical and Nonlinear Physics, having authored 8 papers that have together received 84 indexed citations. Recurring topics across this work include Chaos-based Image/Signal Encryption (4 papers), Algorithms and Data Compression (3 papers), Error Correcting Code Techniques (2 papers), Coding theory and cryptography (2 papers), Advanced Thermodynamics and Statistical Mechanics (1 paper), Cryptography and Data Security (1 paper), QR Code Applications and Technologies (1 paper) and Quantum many-body systems (1 paper). The work is most often cited by research in Computer Vision and Pattern Recognition (44 citations), Signal Processing (20 citations), Computer Graphics and Computer-Aided Design (5 citations), Artificial Intelligence (40 citations) and Hardware and Architecture (8 citations). Jarek Duda has collaborated with scholars based in Poland, Australia and United States. Frequent co-authors include Edward J. Delp, Khalid Tahboub, Paweł Morawiecki, Arash Mahboubi, Seyit Camtepe, Josef Pieprzyk, Hamed Aboutorab, Keyvan Ansari and ‪Surya Nepal‬. Their work appears in journals such as International Journal of Information Security, Journal of Information Security and Applications, Entropy, Homo Politicus (Academy of Humanities and Economics in Lodz) and arXiv (Cornell University).

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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