Carl James Debono

191 total papers · 3.5k total citations
133 papers, 858 citations indexed

About

Carl James Debono is a scholar working on Computer Vision and Pattern Recognition, Signal Processing and Electrical and Electronic Engineering. According to data from OpenAlex, Carl James Debono has authored 133 papers receiving a total of 858 indexed citations (citations by other indexed papers that have themselves been cited), including 73 papers in Computer Vision and Pattern Recognition, 52 papers in Signal Processing and 48 papers in Electrical and Electronic Engineering. Recurrent topics in Carl James Debono's work include Video Coding and Compression Technologies (44 papers), Advanced Vision and Imaging (30 papers) and Image and Video Quality Assessment (29 papers). Carl James Debono is often cited by papers focused on Video Coding and Compression Technologies (44 papers), Advanced Vision and Imaging (30 papers) and Image and Video Quality Assessment (29 papers). Carl James Debono collaborates with scholars based in Malta, Italy and Switzerland. Carl James Debono's co-authors include Reuben A. Farrugia, Gianluca Valentino, Leanne Attard, Mario Di Castro, Joseph Micallef, Franco Maloberti, Dylan Seychell, L. Scibile, George Azzopardi and Ivan Grech and has published in prestigious journals such as IEEE Access, Sensors and ISPRS Journal of Photogrammetry and Remote Sensing.

In The Last Decade

Carl James Debono

124 papers receiving 816 citations

Author Peers

Peers are selected by citation overlap in the author's most active subfields. citations · hero ref

Author Last Decade Papers Cites
Carl James Debono 295 294 208 204 130 133 858
Wilmar Hernández 255 0.9× 122 0.4× 126 0.6× 45 0.2× 236 1.8× 111 1.0k
Tao Wu 265 0.9× 260 0.9× 116 0.6× 63 0.3× 63 0.5× 84 926
Ajay Mahajan 349 1.2× 180 0.6× 75 0.4× 71 0.3× 80 0.6× 88 983
Chinthaka Premachandra 211 0.7× 414 1.4× 48 0.2× 59 0.3× 45 0.3× 123 881
Erdal Oruklu 239 0.8× 288 1.0× 126 0.6× 204 1.0× 51 0.4× 128 953
Jörg Blankenbach 408 1.4× 112 0.4× 48 0.2× 82 0.4× 58 0.4× 75 714
Haitao He 136 0.5× 331 1.1× 53 0.3× 79 0.4× 148 1.1× 76 775
Sangjin Hong 353 1.2× 172 0.6× 73 0.4× 84 0.4× 286 2.2× 92 931
Juan Li 182 0.6× 212 0.7× 109 0.5× 48 0.2× 161 1.2× 128 944
Mohamed El‐Sharkawy 290 1.0× 310 1.1× 33 0.2× 90 0.4× 115 0.9× 133 938

Countries citing papers authored by Carl James Debono

Since Specialization
Citations

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

Fields of papers citing papers by Carl James Debono

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Carl James Debono. 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 Carl James Debono. The network helps show where Carl James Debono may publish in the future.

Co-authorship network of co-authors of Carl James Debono

This figure shows the co-authorship network connecting the top 25 collaborators of Carl James Debono. A scholar is included among the top collaborators of Carl James Debono based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Carl James Debono. Carl James Debono is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

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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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2026