Tarik Graba

658 citations
21 papers · 259 · h-index 10

Impact in

Papers in

Tarik Graba

20 papers receiving 250 citations

Peers

Tarik Graba
Comparison fields: 5 of 28
  • Hardware and Architecture 120
  • Artificial Intelligence 132
  • Computer Vision and Pattern Recognition 78
  • Gastroenterology 13
  • Signal Processing 23
Replace Utsav Banerjee with:
Utsav Banerjee United States
Vincent Camus Switzerland
Josef Danial United States
Coleman Hooper United States
Letian Huang China
Mohammad Samragh United States
Haroon Waris China
Vincent Beroulle France
Gangqiang Yang China
V.A. Chouliaras United Kingdom
Tarik Graba relative to Utsav Banerjee United States Utsav Banerjee's profile →
Citations per field
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Citations per year

Countries citing papers authored by Tarik Graba

Since Specialization
Citations

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

Fields of papers citing papers by Tarik Graba

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Tarik Graba, 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 Tarik Graba Line = papers co-authored together Tarik Graba links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 21 papers — load more, or switch the sort, to bring in the rest.

#Work
1 201554
2 201631
3 201930
4 201521
5 200920
6 200819
7 200915
8 201112
9 201312
10 202010
11
Physical security evaluation at an early design-phase: A side-channel aware simulation methodology
20147
12 20097
13 20177
14 20133
15 20142
16 20192
17 20192
18 20142
19 20072
20 20211

About Tarik Graba

Tarik Graba is a scholar working on Computer Vision and Pattern Recognition, Artificial Intelligence, Hardware and Architecture, Media Technology and Electrical and Electronic Engineering, having authored 21 papers that have together received 259 indexed citations. Recurring topics across this work include Cryptographic Implementations and Security (14 papers), Chaos-based Image/Signal Encryption (12 papers), Physical Unclonable Functions (PUFs) and Hardware Security (11 papers), Coding theory and cryptography (5 papers), Image Processing Techniques and Applications (3 papers), Analog and Mixed-Signal Circuit Design (2 papers), Advanced Optical Sensing Technologies (2 papers) and Advanced Image and Video Retrieval Techniques (2 papers). The work is most often cited by research in Hardware and Architecture (120 citations), Artificial Intelligence (132 citations), Computer Vision and Pattern Recognition (78 citations), Gastroenterology (13 citations) and Signal Processing (23 citations). Tarik Graba has collaborated with scholars based in France, Japan and Singapore. Frequent co-authors include Jean‐Luc Danger, Shivam Bhasin, Sylvain Guilley, Chadi Jabbour, Patricia Desgreys, Van Tam Nguyen, Yves Mathieu, Duc Minh Nguyen, Makoto Nagata and Naofumi Homma. Their work appears in journals such as IEEE Transactions on Computers, IEEE Transactions on Circuits & Systems II Express Briefs, IEEE Sensors Journal, IET Information Security and IEEE Transactions on Information Forensics and Security.

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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