Evaggelia-Aggeliki Karabassi

10 total papers · 471 total citations
10 papers, 346 citations indexed

About

Evaggelia-Aggeliki Karabassi is a scholar working on Computer Vision and Pattern Recognition, Geology and Computer Graphics and Computer-Aided Design. According to data from OpenAlex, Evaggelia-Aggeliki Karabassi has authored 10 papers receiving a total of 346 indexed citations (citations by other indexed papers that have themselves been cited), including 10 papers in Computer Vision and Pattern Recognition, 4 papers in Geology and 4 papers in Computer Graphics and Computer-Aided Design. Recurrent topics in Evaggelia-Aggeliki Karabassi's work include Image Processing and 3D Reconstruction (5 papers), 3D Surveying and Cultural Heritage (4 papers) and Digital Image Processing Techniques (3 papers). Evaggelia-Aggeliki Karabassi is often cited by papers focused on Image Processing and 3D Reconstruction (5 papers), 3D Surveying and Cultural Heritage (4 papers) and Digital Image Processing Techniques (3 papers). Evaggelia-Aggeliki Karabassi collaborates with scholars based in Greece and United States. Evaggelia-Aggeliki Karabassi's co-authors include Γεώργιος Παπαϊωάννου, T. Theoharis, Theoharis Theoharis and Alexandra E. Boehm and has published in prestigious journals such as IEEE Transactions on Pattern Analysis and Machine Intelligence, Image and Vision Computing and IEEE Computer Graphics and Applications.

In The Last Decade

Evaggelia-Aggeliki Karabassi

10 papers receiving 323 citations

Author Peers

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

Author Last Decade Papers Cites
Evaggelia-Aggeliki Karabassi 282 176 111 103 81 10 346
Corey Toler‐Franklin 286 1.0× 216 1.2× 150 1.4× 60 0.6× 57 0.7× 8 320
Michael Kolomenkin 195 0.7× 91 0.5× 33 0.3× 192 1.9× 123 1.5× 12 351
Anđelo Martinović 172 0.6× 235 1.3× 15 0.1× 60 0.6× 40 0.5× 10 368
Konstantinos Sfikas 261 0.9× 113 0.6× 12 0.1× 235 2.3× 59 0.7× 15 341
Shangshu Yu 120 0.4× 198 1.1× 7 0.1× 111 1.1× 27 0.3× 15 378
Fabian Langguth 267 0.9× 123 0.7× 5 0.0× 52 0.5× 115 1.4× 10 351
Joel Daniels 150 0.5× 66 0.4× 4 0.0× 243 2.4× 236 2.9× 14 396
Olivier Saurer 291 1.0× 76 0.4× 6 0.1× 29 0.3× 25 0.3× 11 363
Yuan Liu 181 0.6× 151 0.9× 3 0.0× 103 1.0× 42 0.5× 16 391
Samir Akkouche 132 0.5× 48 0.3× 3 0.0× 229 2.2× 268 3.3× 20 401

Countries citing papers authored by Evaggelia-Aggeliki Karabassi

Since Specialization
Citations

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

Fields of papers citing papers by Evaggelia-Aggeliki Karabassi

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Evaggelia-Aggeliki Karabassi. 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 Evaggelia-Aggeliki Karabassi. The network helps show where Evaggelia-Aggeliki Karabassi may publish in the future.

Co-authorship network of co-authors of Evaggelia-Aggeliki Karabassi

This figure shows the co-authorship network connecting the top 25 collaborators of Evaggelia-Aggeliki Karabassi. A scholar is included among the top collaborators of Evaggelia-Aggeliki Karabassi 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 Evaggelia-Aggeliki Karabassi. Evaggelia-Aggeliki Karabassi 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