Moncef Gabbouj
Impact in
- Signal Processing top 0.05%
- Video Coding and Compression Technologies
- Computer Vision and Pattern Recognition top 0.05%
- Image and Video Quality Assessment
- Image and Signal Denoising Methods
- Advanced Vision and Imaging
Papers in
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- Video Coding and Compression Technologies 140
-
- Advanced Vision and Imaging 105
- Advanced Image and Video Retrieval Techniques 99
- Image and Signal Denoising Methods 96
- Image Retrieval and Classification Techniques 88
- Advanced Data Compression Techniques 81
- Image and Video Quality Assessment 76
- Advanced Image Processing Techniques 60
- Co-authors
- Serkan KıranyazTürker İnceOnur AvcıOsama AbdeljaberDaniel J. InmanAlexandros IosifidisMiska M. HannukselaY. Neuvo
In The Last Decade
Moncef Gabbouj
667 papers receiving 18.4k citations
Hit Papers
Peers
Comparison fields: 5 of 204
- Signal Processing 4.2k
- Computer Vision and Pattern Recognition 7.0k
- Media Technology 1.4k
- Cognitive Neuroscience 2.3k
- Artificial Intelligence 3.3k
Countries citing papers authored by Moncef Gabbouj
This map shows the geographic impact of Moncef Gabbouj'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 Moncef Gabbouj with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Moncef Gabbouj more than expected).
Fields of papers citing papers by Moncef Gabbouj
This network shows the impact of papers produced by Moncef Gabbouj. 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 Moncef Gabbouj. The network helps show where Moncef Gabbouj may publish in the future.
Co-authors
The 25 scholars most cited alongside Moncef Gabbouj, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2024 | 16 | |
| 2 | 2024 | 3 | |
| 3 | 2024 | 1 | |
| 4 | 2023 | 14 | |
| 5 | 2023 | 3 | |
| 6 | 2022 | 2 | |
| 7 | 2022 | 72 | |
| 8 | 2022 | 43 | |
| 9 | 2022 | 5 | |
| 10 | 2022 | 8 | |
| 11 | 2022 | 8 | |
| 12 | 2022 | 25 | |
| 13 | 2022 | 18 | |
| 14 | 2021 | 9 | |
| 15 | 2021 | 25 | |
| 16 | 2018 | 2 | |
| 17 | 2017 | 119 | |
| 18 | 2017 | 7 | |
| 19 | Error Resilient Video Coding Techniques Using Spare Pictures | 2003 | 3 |
| 20 | Segmentation of Noisy Images with Watershed Transformation | 1996 | 1 |
About Moncef Gabbouj
Moncef Gabbouj is a scholar working on Signal Processing, Computer Vision and Pattern Recognition, Media Technology, Artificial Intelligence and Computational Mechanics, having authored 724 papers that have together received 19.5k indexed citations. Recurring topics across this work include Video Coding and Compression Technologies (140 papers), Advanced Vision and Imaging (105 papers), Advanced Image and Video Retrieval Techniques (99 papers), Image and Signal Denoising Methods (96 papers), Image Retrieval and Classification Techniques (88 papers), Advanced Data Compression Techniques (81 papers), Image and Video Quality Assessment (76 papers) and Advanced Image Processing Techniques (60 papers). The work is most often cited by research in Signal Processing (4.2k citations), Computer Vision and Pattern Recognition (7.0k citations), Media Technology (1.4k citations), Cognitive Neuroscience (2.3k citations) and Artificial Intelligence (3.3k citations). Moncef Gabbouj has collaborated with scholars based in Finland, Qatar and China. Frequent co-authors include Serkan Kıranyaz, Türker İnce, Onur Avcı, Osama Abdeljaber, Daniel J. Inman, Alexandros Iosifidis, Miska M. Hannuksela, Y. Neuvo, Levent Eren and Murat Aşkar. Their work appears in journals such as IEEE Transactions on Circuits and Systems for Video Technology, IEEE Access, Expert Systems with Applications, Pattern Recognition and IEEE Transactions on Image Processing.
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.