Maxim Claeys

38 total papers · 1.1k total citations
33 papers, 791 citations indexed

About

Maxim Claeys is a scholar working on Computer Networks and Communications, Computer Vision and Pattern Recognition and Signal Processing. According to data from OpenAlex, Maxim Claeys has authored 33 papers receiving a total of 791 indexed citations (citations by other indexed papers that have themselves been cited), including 26 papers in Computer Networks and Communications, 16 papers in Computer Vision and Pattern Recognition and 10 papers in Signal Processing. Recurrent topics in Maxim Claeys's work include Image and Video Quality Assessment (15 papers), Caching and Content Delivery (14 papers) and Video Coding and Compression Technologies (10 papers). Maxim Claeys is often cited by papers focused on Image and Video Quality Assessment (15 papers), Caching and Content Delivery (14 papers) and Video Coding and Compression Technologies (10 papers). Maxim Claeys collaborates with scholars based in Belgium, United Kingdom and Spain. Maxim Claeys's co-authors include Filip De Turck, Steven Latré, Jeroen Famaey, Stefano Petrangeli, Werner Van Leekwijck, Niels Bouten, Joan Serrat, Rashid Mijumbi, Tingyao Wu and Juan‐Luis Gorricho and has published in prestigious journals such as IEEE Communications Surveys & Tutorials, Expert Systems with Applications and IEEE Journal on Selected Areas in Communications.

In The Last Decade

Maxim Claeys

33 papers receiving 773 citations

Author Peers

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

Author Last Decade Papers Cites
Maxim Claeys 487 455 277 187 108 33 791
Ahmed H. Zahran 595 1.2× 338 0.7× 228 0.8× 480 2.6× 62 0.6× 76 851
Jeroen van der Hooft 277 0.6× 691 1.5× 402 1.5× 97 0.5× 151 1.4× 49 870
Chao Zhou 295 0.6× 684 1.5× 479 1.7× 106 0.6× 113 1.0× 50 791
Yanyuan Qin 241 0.5× 191 0.4× 135 0.5× 283 1.5× 42 0.4× 25 627
Minoru Etoh 202 0.4× 341 0.7× 194 0.7× 192 1.0× 63 0.6× 56 667
Ruben Torres 587 1.2× 225 0.5× 193 0.7× 76 0.4× 52 0.5× 24 676
Nabajeet Barman 160 0.3× 570 1.3× 220 0.8× 52 0.3× 113 1.0× 34 691
Patrice Rondão Alface 131 0.3× 542 1.2× 302 1.1× 49 0.3× 83 0.8× 37 625
Cornelius Hellge 384 0.8× 518 1.1× 444 1.6× 317 1.7× 103 1.0× 73 877
Rob Koenen 94 0.2× 483 1.1× 240 0.9× 35 0.2× 121 1.1× 19 627

Countries citing papers authored by Maxim Claeys

Since Specialization
Citations

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

Fields of papers citing papers by Maxim Claeys

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Maxim Claeys

This figure shows the co-authorship network connecting the top 25 collaborators of Maxim Claeys. A scholar is included among the top collaborators of Maxim Claeys 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 Maxim Claeys. Maxim Claeys 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