Tarik Graba

663 citations
40 papers · 525 · h-index 14

Impact in

Papers in

Tarik Graba

38 papers receiving 506 citations

Peers

Tarik Graba
Comparison fields: 5 of 33
  • Hardware and Architecture 307
  • Artificial Intelligence 309
  • Computer Vision and Pattern Recognition 179
  • Signal Processing 67
  • Gastroenterology 18
Replace Peter Pessl with:
Peter Pessl Austria
Debapriya Basu Roy India
Josef Danial United States
Davide Bellizia Italy
Enrique San Millán Spain
Dina Kamel Belgium
Hadi Asghari-Moghaddam United States
Noor Mahammad Sk India
Leif Uhsadel Belgium
Kohji Takano Japan
Tarik Graba relative to Peter Pessl Austria Peter Pessl'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 40 papers — load more, or switch the sort, to bring in the rest.

#Work
1 201556
2 200947
3 201440
4 201633
5 201930
6 200824
7 201423
8 201522
9 200821
10 200921
11 200921
12 200918
13 202018
14 201114
15 201814
16 202013
17 201313
18 201312
19
Cyclope: an integrated real-time 3D image sensor
200410
20 20128

About Tarik Graba

Tarik Graba is a scholar working on Hardware and Architecture, Computer Vision and Pattern Recognition, Artificial Intelligence, Instrumentation and Media Technology, having authored 40 papers that have together received 525 indexed citations. Recurring topics across this work include Cryptographic Implementations and Security (25 papers), Chaos-based Image/Signal Encryption (22 papers), Physical Unclonable Functions (PUFs) and Hardware Security (20 papers), Coding theory and cryptography (8 papers), CCD and CMOS Imaging Sensors (6 papers), Advanced Optical Sensing Technologies (5 papers), Image Processing Techniques and Applications (5 papers) and Advanced Vision and Imaging (4 papers). The work is most often cited by research in Hardware and Architecture (307 citations), Artificial Intelligence (309 citations), Computer Vision and Pattern Recognition (179 citations), Signal Processing (67 citations) and Gastroenterology (18 citations). Tarik Graba has collaborated with scholars based in France, Japan and Singapore. Frequent co-authors include Jean‐Luc Danger, Shivam Bhasin, Sylvain Guilley, Yves Mathieu, Laurent Sauvage, Nidhal Selmane, Chadi Jabbour, Van Tam Nguyen, Patricia Desgreys and Zakaria Najm. Their work appears in journals such as IEEE Transactions on Computers, IEEE Transactions on Circuits & Systems II Express Briefs, IET Information Security, IEEE Transactions on Information Forensics and Security and IEEE Sensors Journal.

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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