Evangelos Dermatas

1.5k total citations
71 papers, 991 citations indexed

About

Evangelos Dermatas is a scholar working on Computer Vision and Pattern Recognition, Artificial Intelligence and Signal Processing. According to data from OpenAlex, Evangelos Dermatas has authored 71 papers receiving a total of 991 indexed citations (citations by other indexed papers that have themselves been cited), including 29 papers in Computer Vision and Pattern Recognition, 21 papers in Artificial Intelligence and 14 papers in Signal Processing. Recurrent topics in Evangelos Dermatas's work include Speech and Audio Processing (8 papers), Medical Image Segmentation Techniques (8 papers) and AI in cancer detection (7 papers). Evangelos Dermatas is often cited by papers focused on Speech and Audio Processing (8 papers), Medical Image Segmentation Techniques (8 papers) and AI in cancer detection (7 papers). Evangelos Dermatas collaborates with scholars based in Greece, United Kingdom and Denmark. Evangelos Dermatas's co-authors include G. Kokkinakis, Dimitris Gavrilis, George Kokkinakis, Vassilios Kappatos, Ioannis G. Tsoulos, Ioannis Mariolis, Epaminondas D. Mitronikas, Ioannis Chatzis, George Apostolopoulos and Stephanos V. Tsinopoulos and has published in prestigious journals such as Computer Physics Communications, IEEE Transactions on Intelligent Transportation Systems and IEEE Signal Processing Magazine.

In The Last Decade

Evangelos Dermatas

65 papers receiving 908 citations

Peers

Evangelos Dermatas
Comparison fields: 5 of 98
  • Computer Vision and Pattern Recognition 453
  • Artificial Intelligence 406
  • Radiology, Nuclear Medicine and Imaging 264
  • Signal Processing 182
  • Ophthalmology 155
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Citations per field, relative to Evangelos Dermatas
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Citations per year, relative to Evangelos Dermatas
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Countries citing papers authored by Evangelos Dermatas

Since Specialization
Citations

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

Fields of papers citing papers by Evangelos Dermatas

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Evangelos Dermatas

This figure shows the co-authorship network connecting the top 25 collaborators of Evangelos Dermatas. A scholar is included among the top collaborators of Evangelos Dermatas 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 Evangelos Dermatas. Evangelos Dermatas is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
# Work Indexed citations
1 0
2 1
3 15
4 2
5 4
6
Rear lights vehicle detection for collision avoidance
7
7 1
8 2
9 43
10 12
11 1
12 195
13 1
14 13
15 3
16 4
17
Speaker tracking for hands-free continuous speech recognition in noise based on a spectrum-entropy beamforming method
2
18 99
19
Automatic stochastic tagging of natural language texts
60
20 1

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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