Stefanos Laskaridis

35 total papers · 759 total citations
9 papers, 247 citations indexed

About

Stefanos Laskaridis is a scholar working on Computer Networks and Communications, Computer Vision and Pattern Recognition and Artificial Intelligence. According to data from OpenAlex, Stefanos Laskaridis has authored 9 papers receiving a total of 247 indexed citations (citations by other indexed papers that have themselves been cited), including 6 papers in Computer Networks and Communications, 6 papers in Computer Vision and Pattern Recognition and 3 papers in Artificial Intelligence. Recurrent topics in Stefanos Laskaridis's work include Advanced Neural Network Applications (6 papers), IoT and Edge/Fog Computing (6 papers) and Age of Information Optimization (2 papers). Stefanos Laskaridis is often cited by papers focused on Advanced Neural Network Applications (6 papers), IoT and Edge/Fog Computing (6 papers) and Age of Information Optimization (2 papers). Stefanos Laskaridis collaborates with scholars based in United Kingdom, United States and South Korea. Stefanos Laskaridis's co-authors include Nicholas D. Lane, Mário Almeida, Ilias Leontiadis, Stylianos I. Venieris, Alexandros Kouris, Abhinav Mehrotra, Łukasz Dudziak, Kleomenis Katevas, Hamed Haddadi and Dimitris Spathis and has published in prestigious journals such as IEEE Pervasive Computing, ACM Transactions on Embedded Computing Systems and arXiv (Cornell University).

In The Last Decade

Stefanos Laskaridis

9 papers receiving 244 citations

Author Peers

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

Author Last Decade Papers Cites
Stefanos Laskaridis 138 133 85 47 24 9 247
Loc N. Huynh 107 0.8× 208 1.6× 80 0.9× 69 1.5× 11 0.5× 5 296
Christopher D. Krieger 165 1.2× 136 1.0× 90 1.1× 104 2.2× 19 0.8× 18 293
Chen-Yu Ho 64 0.5× 46 0.3× 129 1.5× 33 0.7× 19 0.8× 6 195
Ting-Wu Chin 41 0.3× 143 1.1× 121 1.4× 44 0.9× 6 0.3× 13 225
Hang Qi 49 0.4× 68 0.5× 98 1.2× 97 2.1× 19 0.8× 15 224
Qiao Lan 137 1.0× 44 0.3× 112 1.3× 108 2.3× 16 0.7× 13 289
Juheon Yi 76 0.6× 216 1.6× 33 0.4× 48 1.0× 13 0.5× 15 301
Jiandian Zeng 168 1.2× 57 0.4× 112 1.3× 76 1.6× 70 2.9× 10 289
Raghubir Singh 99 0.7× 37 0.3× 42 0.5× 43 0.9× 65 2.7× 8 203
Joshua Bassey 131 0.9× 39 0.3× 73 0.9× 78 1.7× 30 1.3× 6 203

Countries citing papers authored by Stefanos Laskaridis

Since Specialization
Citations

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

Fields of papers citing papers by Stefanos Laskaridis

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Stefanos Laskaridis

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