Marina E. Plissiti

27 total papers · 1.2k total citations
23 papers, 808 citations indexed

About

Marina E. Plissiti is a scholar working on Computer Vision and Pattern Recognition, Artificial Intelligence and Biophysics. According to data from OpenAlex, Marina E. Plissiti has authored 23 papers receiving a total of 808 indexed citations (citations by other indexed papers that have themselves been cited), including 14 papers in Computer Vision and Pattern Recognition, 10 papers in Artificial Intelligence and 7 papers in Biophysics. Recurrent topics in Marina E. Plissiti's work include Digital Imaging for Blood Diseases (10 papers), AI in cancer detection (10 papers) and Cell Image Analysis Techniques (7 papers). Marina E. Plissiti is often cited by papers focused on Digital Imaging for Blood Diseases (10 papers), AI in cancer detection (10 papers) and Cell Image Analysis Techniques (7 papers). Marina E. Plissiti collaborates with scholars based in Greece, United Kingdom and Indonesia. Marina E. Plissiti's co-authors include Christophoros Nikou, Antonia Charchanti, Giorgos Sfikas, Panagiotis Dimitrakopoulos, Lampros K. Michalis, Dimitrios I. Fotiadis, Christos V. Bourantas, Christos S. Katsouras, Michail I. Papafaklis and Michalis Vrigkas and has published in prestigious journals such as SHILAP Revista de lepidopterología, IEEE Transactions on Image Processing and Sensors.

In The Last Decade

Marina E. Plissiti

21 papers receiving 774 citations

Author Peers

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

Author Last Decade Papers Cites
Marina E. Plissiti 550 428 198 194 154 23 808
André Homeyer 371 0.7× 229 0.5× 292 1.5× 115 0.6× 115 0.7× 37 828
Alexi Baidoshvili 486 0.9× 192 0.4× 342 1.7× 64 0.3× 113 0.7× 22 911
Yading Yuan 501 0.9× 228 0.5× 313 1.6× 130 0.7× 31 0.2× 37 966
Norman Zerbe 492 0.9× 194 0.5× 311 1.6× 77 0.4× 95 0.6× 32 767
Huangjing Lin 552 1.0× 276 0.6× 463 2.3× 54 0.3× 47 0.3× 19 788
Changhao Sun 626 1.1× 404 0.9× 414 2.1× 78 0.4× 96 0.6× 23 1.0k
N. K. Timofeeva 714 1.3× 293 0.7× 468 2.4× 49 0.3× 142 0.9× 10 959
Wouter Bulten 740 1.3× 270 0.6× 524 2.6× 50 0.3× 102 0.7× 9 981
Dimitris Samaras 677 1.2× 417 1.0× 425 2.1× 31 0.2× 140 0.9× 28 1.0k
Thomas de Bel 635 1.2× 226 0.5× 454 2.3× 43 0.2× 91 0.6× 16 991

Countries citing papers authored by Marina E. Plissiti

Since Specialization
Citations

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

Fields of papers citing papers by Marina E. Plissiti

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Marina E. Plissiti. 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 Marina E. Plissiti. The network helps show where Marina E. Plissiti may publish in the future.

Co-authorship network of co-authors of Marina E. Plissiti

This figure shows the co-authorship network connecting the top 25 collaborators of Marina E. Plissiti. A scholar is included among the top collaborators of Marina E. Plissiti 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 Marina E. Plissiti. Marina E. Plissiti 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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