Moncef Gabbouj

29.5k citations
724 papers · 19.5k indexed · 10 hit papers · h-index 56

Impact in

Papers in

    • 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

Moncef Gabbouj

667 papers receiving 18.4k citations

Hit Papers

1D convolutional neural networks and applications: A survey 2022 · 1.6k citations
1.6k201120262016202150010001.5k

Peers

Moncef Gabbouj
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
Replace Nitish Srivastava with:
Nitish Srivastava United States
Erkki Oja Finland
Christopher J. C. Burges United States
José C. Prı́ncipe United States
Simon Haykin Canada
Chin‐Teng Lin Taiwan
Bernhard E. Boser United States
Hojjat Adeli United States
Dumitru Erhan United States
Dragomir Anguelov United States
Moncef Gabbouj relative to Nitish Srivastava United States Nitish Srivastava's profile →
Citations per field
00.5×1.5×1.9×
Nitish Srivastava · 1×
Citations per year

Countries citing papers authored by Moncef Gabbouj

Since Specialization
Citations

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

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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.

Border = papers with Moncef Gabbouj Line = papers co-authored together Moncef Gabbouj links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown
#Work
1 202416
2 20243
3 20241
4 202314
5 20233
6 20222
7 202272
8 202243
9 20225
10 20228
11 20228
12 202225
13 202218
14 20219
15 202125
16 20182
17 2017119
18 20177
19
Error Resilient Video Coding Techniques Using Spare Pictures
20033
20
Segmentation of Noisy Images with Watershed Transformation
19961

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.

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