Maria Petrou

121 total papers · 1.6k total citations
68 papers, 894 citations indexed

About

Maria Petrou is a scholar working on Computer Vision and Pattern Recognition, Media Technology and Artificial Intelligence. According to data from OpenAlex, Maria Petrou has authored 68 papers receiving a total of 894 indexed citations (citations by other indexed papers that have themselves been cited), including 42 papers in Computer Vision and Pattern Recognition, 13 papers in Media Technology and 7 papers in Artificial Intelligence. Recurrent topics in Maria Petrou's work include Advanced Vision and Imaging (11 papers), Remote-Sensing Image Classification (10 papers) and Advanced Image and Video Retrieval Techniques (8 papers). Maria Petrou is often cited by papers focused on Advanced Vision and Imaging (11 papers), Remote-Sensing Image Classification (10 papers) and Advanced Image and Video Retrieval Techniques (8 papers). Maria Petrou collaborates with scholars based in United Kingdom, Greece and Italy. Maria Petrou's co-authors include Olga Duran, Stefanos Zafeiriou, Panagiota Bosdogianni, Josef Kittler, Cristina Costa, Marco Elio Tabacchi, Vito Di Gesù, Maurizio Cardaci, Vasileios Argyriou and Vassili Kovalev and has published in prestigious journals such as IEEE Transactions on Geoscience and Remote Sensing, Pattern Recognition and International Journal of Remote Sensing.

In The Last Decade

Maria Petrou

65 papers receiving 844 citations

Author Peers

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

Author Last Decade Papers Cites
Maria Petrou 438 202 116 99 79 68 894
İlkay Ulusoy 387 0.9× 230 1.1× 207 1.8× 90 0.9× 52 0.7× 66 913
Lei Wang 325 0.7× 215 1.1× 106 0.9× 36 0.4× 77 1.0× 66 932
Donald E. Troxel 467 1.1× 143 0.7× 49 0.4× 49 0.5× 79 1.0× 33 1.0k
Bushra Zafar 479 1.1× 224 1.1× 133 1.1× 114 1.2× 39 0.5× 30 869
Stefan Oehmcke 392 0.9× 135 0.7× 221 1.9× 42 0.4× 24 0.3× 26 960
Yuanlin Zhang 542 1.2× 345 1.7× 98 0.8× 57 0.6× 33 0.4× 76 815
Sukhendu Das 549 1.3× 212 1.0× 168 1.4× 29 0.3× 31 0.4× 92 1.0k
Kai Wang 606 1.4× 139 0.7× 129 1.1× 68 0.7× 109 1.4× 38 935
Simon Stent 321 0.7× 218 1.1× 90 0.8× 24 0.2× 47 0.6× 29 812
Nikolay Petkov 497 1.1× 176 0.9× 126 1.1× 42 0.4× 18 0.2× 55 892

Countries citing papers authored by Maria Petrou

Since Specialization
Citations

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

Fields of papers citing papers by Maria Petrou

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Maria Petrou

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