Alexandre Ninassi

671 citations
6 papers · 295 · h-index 5

Impact in

Papers in

    • Visual Attention and Saliency Detection 4
    • Image and Video Quality Assessment 4
    • Advanced Steganography and Watermarking Techniques 2
    • Digital Media Forensic Detection 1
    • Image and Signal Denoising Methods 1
    • Visual perception and processing mechanisms 2

Alexandre Ninassi

6 papers receiving 285 citations

Peers

Alexandre Ninassi
Comparison fields: 5 of 30
  • Computer Vision and Pattern Recognition 285
  • Media Technology 86
  • Signal Processing 31
  • Cognitive Neuroscience 49
  • Human-Computer Interaction 14
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Romuald Pépion France
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Byungyong Ryu South Korea
Romain Cousseau France
Zhaohui Che China
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Wilfried M. Osberger Australia
Y. Horita Japan
Emilie Bosc France
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Citations per field
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Citations per year

Countries citing papers authored by Alexandre Ninassi

Since Specialization
Citations

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

Fields of papers citing papers by Alexandre Ninassi

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 5 scholars most cited alongside Alexandre Ninassi, 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 Alexandre Ninassi Line = papers co-authored together Alexandre Ninassi links everyone, so they are left out of the graph.

All Works

6 of 6 papers shown

About Alexandre Ninassi

Alexandre Ninassi is a scholar working on Computer Vision and Pattern Recognition, Cognitive Neuroscience, Atomic and Molecular Physics, and Optics, Media Technology and Human-Computer Interaction, having authored 6 papers that have together received 295 indexed citations. Recurring topics across this work include Visual Attention and Saliency Detection (4 papers), Image and Video Quality Assessment (4 papers), Advanced Steganography and Watermarking Techniques (2 papers), Visual perception and processing mechanisms (2 papers), Advanced Image Fusion Techniques (1 paper), Color Science and Applications (1 paper), Digital Media Forensic Detection (1 paper) and Image and Signal Denoising Methods (1 paper). The work is most often cited by research in Computer Vision and Pattern Recognition (285 citations), Media Technology (86 citations), Signal Processing (31 citations), Cognitive Neuroscience (49 citations) and Human-Computer Interaction (14 citations). Alexandre Ninassi has collaborated with scholars based in France and Germany. Frequent co-authors include Patrick Le Callet, Olivier Le Meur, Dominique Barba, Florent Autrusseau and Patrick Le Callet. Their work appears in journals such as Signal Processing Image Communication, IEEE Journal of Selected Topics in Signal Processing and Proceedings of SPIE, the International Society for Optical Engineering/Proceedings of SPIE.

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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