Marco V. Bernardo

37 total papers · 483 total citations
29 papers, 350 citations indexed

About

Marco V. Bernardo is a scholar working on Computer Vision and Pattern Recognition, Atomic and Molecular Physics, and Optics and Media Technology. According to data from OpenAlex, Marco V. Bernardo has authored 29 papers receiving a total of 350 indexed citations (citations by other indexed papers that have themselves been cited), including 15 papers in Computer Vision and Pattern Recognition, 14 papers in Atomic and Molecular Physics, and Optics and 11 papers in Media Technology. Recurrent topics in Marco V. Bernardo's work include Image and Video Quality Assessment (10 papers), Color Science and Applications (8 papers) and Image Enhancement Techniques (6 papers). Marco V. Bernardo is often cited by papers focused on Image and Video Quality Assessment (10 papers), Color Science and Applications (8 papers) and Image Enhancement Techniques (6 papers). Marco V. Bernardo collaborates with scholars based in Portugal, Switzerland and Croatia. Marco V. Bernardo's co-authors include António Pinheiro, Manuela Pereira, Paulo T. Fiadeiro, Touradj Ebrahimi, Philippe Hanhart, Gil Nonato C. Santos, Pavel Korshunov, Emil Dumić, Evangelos Alexiou and Luís A. da Silva Cruz and has published in prestigious journals such as Pattern Recognition Letters, Multimedia Tools and Applications and Signal Processing Image Communication.

In The Last Decade

Marco V. Bernardo

27 papers receiving 339 citations

Author Peers

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

Author Last Decade Papers Cites
Marco V. Bernardo 286 106 88 88 51 29 350
Emin Zerman 303 1.1× 50 0.5× 45 0.5× 41 0.5× 83 1.6× 32 381
Oana G. Cula 264 0.9× 48 0.5× 25 0.3× 21 0.2× 63 1.2× 16 377
Patrick Gioia 246 0.9× 161 1.5× 40 0.5× 183 2.1× 83 1.6× 38 354
Jiamin Bai 324 1.1× 11 0.1× 66 0.8× 49 0.6× 87 1.7× 15 361
Robert Buckley 178 0.6× 59 0.6× 56 0.6× 42 0.5× 29 0.6× 28 375
Gangyi Jiang 328 1.1× 28 0.3× 32 0.4× 71 0.8× 17 0.3× 32 345
Minwoo Park 317 1.1× 14 0.1× 17 0.2× 62 0.7× 25 0.5× 34 396
Frank M. Candocia 278 1.0× 29 0.3× 39 0.4× 90 1.0× 15 0.3× 24 359
Kevin E. Spaulding 222 0.8× 113 1.1× 6 0.1× 79 0.9× 22 0.4× 27 337
Evgeniy Upenik 287 1.0× 6 0.1× 53 0.6× 61 0.7× 45 0.9× 18 341

Countries citing papers authored by Marco V. Bernardo

Since Specialization
Citations

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

Fields of papers citing papers by Marco V. Bernardo

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Marco V. Bernardo. 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 Marco V. Bernardo. The network helps show where Marco V. Bernardo may publish in the future.

Co-authorship network of co-authors of Marco V. Bernardo

This figure shows the co-authorship network connecting the top 25 collaborators of Marco V. Bernardo. A scholar is included among the top collaborators of Marco V. Bernardo 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 Marco V. Bernardo. Marco V. Bernardo 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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