Sabeur Abid
Impact in
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- Industrial Vision Systems and Defect Detection
- Media Technology top 10%
- Image Processing Techniques and Applications
Papers in
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- Image and Object Detection Techniques 5
- Image and Signal Denoising Methods 4
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- Industrial Vision Systems and Defect Detection 9
- Co-authors
- Farhat Fnaiech (19 shared papers)Mohamed M. M. Najim (2 shared papers)Mounir Sayadi (9 shared papers)Noureddine Ben Yahia (2 shared papers)Barrie William Jervis (2 shared papers)Aymen Mouelhi (1 shared paper)Mohamed CHERIET (3 shared papers)Adnane Chérif (1 shared paper)
In The Last Decade
Sabeur Abid
36 papers receiving 273 citations
Peers
Comparison fields: 5 of 72
- Industrial and Manufacturing Engineering 87
- Media Technology 47
- Computer Vision and Pattern Recognition 110
- Artificial Intelligence 98
- Signal Processing 31
Countries citing papers authored by Sabeur Abid
This map shows the geographic impact of Sabeur Abid'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 Sabeur Abid with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Sabeur Abid more than expected).
Fields of papers citing papers by Sabeur Abid
This network shows the impact of papers produced by Sabeur Abid. 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 Sabeur Abid. The network helps show where Sabeur Abid may publish in the future.
Co-authors
The 10 scholars most cited alongside Sabeur Abid, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 37 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2001 | 95 | |
| 2 | 2015 | 39 | |
| 3 | 2016 | 22 | |
| 4 | 2019 | 21 | |
| 5 | 2012 | 12 | |
| 6 | 2006 | 9 | |
| 7 | 2006 | 8 | |
| 8 | 2024 | 8 | |
| 9 | 2011 | 8 | |
| 10 | 2002 | 7 | |
| 11 | 2011 | 7 | |
| 12 | 2003 | 6 | |
| 13 | 2020 | 6 | |
| 14 | 2024 | 5 | |
| 15 | 2013 | 4 | |
| 16 | 2024 | 4 | |
| 17 | 2012 | 4 | |
| 18 | 2014 | 4 | |
| 19 | 2013 | 3 | |
| 20 | 2004 | 3 |
About Sabeur Abid
Sabeur Abid is a scholar working on Computer Vision and Pattern Recognition, Industrial and Manufacturing Engineering, Signal Processing, Media Technology and Artificial Intelligence, having authored 37 papers that have together received 305 indexed citations. Recurring topics across this work include Industrial Vision Systems and Defect Detection (9 papers), Neural Networks and Applications (8 papers), Blind Source Separation Techniques (8 papers), Image Processing Techniques and Applications (7 papers), Image and Object Detection Techniques (5 papers), Brain Tumor Detection and Classification (4 papers), Image and Signal Denoising Methods (4 papers) and Control Systems and Identification (3 papers). The work is most often cited by research in Industrial and Manufacturing Engineering (87 citations), Media Technology (47 citations), Computer Vision and Pattern Recognition (110 citations), Artificial Intelligence (98 citations) and Signal Processing (31 citations). Sabeur Abid has collaborated with scholars based in Tunisia, France and Canada. Frequent co-authors include Farhat Fnaiech, Mohamed M. M. Najim, Mounir Sayadi, Noureddine Ben Yahia, Barrie William Jervis, Aymen Mouelhi, Mohamed CHERIET, Adnane Chérif, Gérard Favier and Ali Zghal. Their work appears in journals such as Scientific Reports, Frontiers in Artificial Intelligence, Frontiers in Computational Neuroscience, EURASIP Journal on Advances in Signal Processing and International Journal of Electronics.
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.