Omar Choudary

682 citations
26 papers · 519 · h-index 11

Impact in

Papers in

Omar Choudary

21 papers receiving 506 citations

Peers

Omar Choudary
Comparison fields: 5 of 45
  • Hardware and Architecture 241
  • Signal Processing 163
  • Artificial Intelligence 367
  • Computer Vision and Pattern Recognition 227
  • Human-Computer Interaction 41
Replace Martin Vuagnoux with:
Martin Vuagnoux Switzerland
Markku–Juhani O. Saarinen United Kingdom
Enrique Cantó Spain
Sylvain Pasini Switzerland
Rainer Hoch Germany
Hannes Groß Austria
Albert B. Jeng Taiwan
Ellick Chan United States
Dmitri Asonov Germany
Myeongjae Jeon United States
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Citations per field
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Citations per year

Countries citing papers authored by Omar Choudary

Since Specialization
Citations

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

Fields of papers citing papers by Omar Choudary

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 14 scholars most cited alongside Omar Choudary, 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 Omar Choudary Line = papers co-authored together Omar Choudary links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 26 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2014142
2 201473
3 200972
4 201756
5 201449
6 201723
7 201523
8 201414
9
Ecient Template Attacks
201414
10 201613
11 201510
12 20125
13 20114
14 20224
15 20184
16 20213
17 20213
18
Evaluation of Multimedia Features in Mobile Guide Applications
20102
19 20092
20 20221

About Omar Choudary

Omar Choudary is a scholar working on Artificial Intelligence, Computer Vision and Pattern Recognition, Information Systems, Hardware and Architecture and Signal Processing, having authored 26 papers that have together received 519 indexed citations. Recurring topics across this work include Cryptographic Implementations and Security (14 papers), Physical Unclonable Functions (PUFs) and Hardware Security (8 papers), Chaos-based Image/Signal Encryption (7 papers), Advanced Malware Detection Techniques (6 papers), Advanced Authentication Protocols Security (5 papers), User Authentication and Security Systems (4 papers), Cryptography and Data Security (3 papers) and Coding theory and cryptography (3 papers). The work is most often cited by research in Hardware and Architecture (241 citations), Signal Processing (163 citations), Artificial Intelligence (367 citations), Computer Vision and Pattern Recognition (227 citations) and Human-Computer Interaction (41 citations). Omar Choudary has collaborated with scholars based in Romania, United Kingdom and France. Frequent co-authors include Markus Kühn, Vincent Charvillat, Mike Bond, Pierre Gurdjos, Ross Anderson, Steven J. Murdoch, Sergei Skorobogatov, Romain Poussier, François‐Xavier Standaert and Frank Stajano. Their work appears in journals such as Lecture notes in computer science, IEEE Security & Privacy, IACR Transactions on Cryptographic Hardware and Embedded Systems, IEEE Transactions on Information Forensics and Security and Cryptography.

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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