Kostas Vassilakis

40 total papers · 496 total citations
22 papers, 267 citations indexed

About

Kostas Vassilakis is a scholar working on Computer Science Applications, Artificial Intelligence and Information Systems. According to data from OpenAlex, Kostas Vassilakis has authored 22 papers receiving a total of 267 indexed citations (citations by other indexed papers that have themselves been cited), including 8 papers in Computer Science Applications, 7 papers in Artificial Intelligence and 4 papers in Information Systems. Recurrent topics in Kostas Vassilakis's work include Open Education and E-Learning (3 papers), Teaching and Learning Programming (3 papers) and Epilepsy research and treatment (3 papers). Kostas Vassilakis is often cited by papers focused on Open Education and E-Learning (3 papers), Teaching and Learning Programming (3 papers) and Epilepsy research and treatment (3 papers). Kostas Vassilakis collaborates with scholars based in Greece and Cyprus. Kostas Vassilakis's co-authors include Michail Kalogiannakis, Stamatios Papadakis, Spyros Panagiotakis, Julie Vaiopoulou, Dimitrios Stamovlasis, Eirini Sifaki, Nikolas Vidakis, Evangelos Markakis, Konstantinos G. Arvanitis and Christos Lionis and has published in prestigious journals such as SHILAP Revista de lepidopterología, Expert Systems with Applications and Computer Methods and Programs in Biomedicine.

In The Last Decade

Kostas Vassilakis

21 papers receiving 247 citations

Author Peers

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

Author Last Decade Papers Cites
Kostas Vassilakis 105 76 60 50 38 22 267
Marius Cioca 56 0.5× 74 1.0× 109 1.8× 91 1.8× 32 0.8× 26 321
Dragutin Kermek 47 0.4× 119 1.6× 74 1.2× 45 0.9× 34 0.9× 25 258
Lorella Gabriele 76 0.7× 50 0.7× 89 1.5× 34 0.7× 59 1.6× 28 297
Aisha Alsobhi 82 0.8× 53 0.7× 74 1.2× 56 1.1× 51 1.3× 20 237
Julien Broisin 55 0.5× 82 1.1× 136 2.3× 46 0.9× 58 1.5× 37 237
João Piedade 123 1.2× 100 1.3× 128 2.1× 24 0.5× 54 1.4× 32 283
Assunta Tavernise 79 0.8× 43 0.6× 76 1.3× 26 0.5× 56 1.5× 28 267
Beatríz Barros 56 0.5× 74 1.0× 96 1.6× 55 1.1× 74 1.9× 31 250
Fadhilah Rosdi 80 0.8× 103 1.4× 27 0.5× 86 1.7× 88 2.3× 32 301
Mohamed Yassin Chkouri 82 0.8× 88 1.2× 53 0.9× 25 0.5× 26 0.7× 34 230

Countries citing papers authored by Kostas Vassilakis

Since Specialization
Citations

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

Fields of papers citing papers by Kostas Vassilakis

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Kostas Vassilakis

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