S.A. Karkanis

55 total papers · 1.4k total citations
40 papers, 984 citations indexed

About

S.A. Karkanis is a scholar working on Computer Vision and Pattern Recognition, Artificial Intelligence and Oncology. According to data from OpenAlex, S.A. Karkanis has authored 40 papers receiving a total of 984 indexed citations (citations by other indexed papers that have themselves been cited), including 23 papers in Computer Vision and Pattern Recognition, 16 papers in Artificial Intelligence and 5 papers in Oncology. Recurrent topics in S.A. Karkanis's work include Image Retrieval and Classification Techniques (12 papers), AI in cancer detection (9 papers) and Image and Signal Denoising Methods (6 papers). S.A. Karkanis is often cited by papers focused on Image Retrieval and Classification Techniques (12 papers), AI in cancer detection (9 papers) and Image and Signal Denoising Methods (6 papers). S.A. Karkanis collaborates with scholars based in Greece, United States and Brunei. S.A. Karkanis's co-authors include Dimitris Maroulis, Dimitris K. Iakovidis, D.A. Karras, Michalis Tzivras, Michalis A. Savelonas, George D. Magoulas, N.G. Theofanous, B.G. Mertzios, Evaggelos Spyrou and Nikos Dimitropoulos and has published in prestigious journals such as IEEE Transactions on Instrumentation and Measurement, Applied Sciences and Computer Methods and Programs in Biomedicine.

In The Last Decade

S.A. Karkanis

38 papers receiving 919 citations

Author Peers

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

Author Last Decade Papers Cites
S.A. Karkanis 497 448 263 203 188 40 984
Aymeric Histace 451 0.9× 484 1.1× 325 1.2× 189 0.9× 344 1.8× 54 1.1k
Sigrun Losada Eskeland 336 0.7× 445 1.0× 359 1.4× 177 0.9× 366 1.9× 24 958
Kristin Ranheim Randel 249 0.5× 497 1.1× 294 1.1× 147 0.7× 325 1.7× 33 928
Bertrand Granado 459 0.9× 366 0.8× 309 1.2× 79 0.4× 286 1.5× 44 1.0k
Håvard D. Johansen 419 0.8× 265 0.6× 404 1.5× 26 0.1× 306 1.6× 54 1.1k
Bisser Raytchev 366 0.7× 400 0.9× 169 0.6× 61 0.3× 201 1.1× 78 912
Sajid Ali Khan 542 1.1× 61 0.1× 388 1.5× 41 0.2× 242 1.3× 27 1.1k
Mohamed El Ansari 544 1.1× 234 0.5× 191 0.7× 253 1.2× 177 0.9× 90 1.0k
Ebrahim Mohammed Senan 321 0.6× 196 0.4× 591 2.2× 57 0.3× 417 2.2× 31 1.2k
Junhyun Lee 228 0.5× 47 0.1× 206 0.8× 180 0.9× 134 0.7× 41 986

Countries citing papers authored by S.A. Karkanis

Since Specialization
Citations

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

Fields of papers citing papers by S.A. Karkanis

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by S.A. Karkanis. 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 S.A. Karkanis. The network helps show where S.A. Karkanis may publish in the future.

Co-authorship network of co-authors of S.A. Karkanis

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