Stefanos Laskaridis
- Computer Networks and Communications top 10%
- Computer Vision and Pattern Recognition top 10%
- Artificial Intelligence
- Electrical and Electronic Engineering
- Information Systems
- Co-authors
- Nicholas D. LaneMário AlmeidaIlias LeontiadisStylianos I. VenierisŁukasz DudziakAlexandros KourisAbhinav MehrotraKleomenis Katevas
- Topics
- IoT and Edge/Fog Computing (6 papers)Advanced Neural Network Applications (6 papers)Age of Information Optimization (2 papers)
- Journals
- IEEE Pervasive ComputingACM Transactions on Embedded Computing SystemsarXiv (Cornell University)
- Partner nations
- United KingdomUnited StatesSouth Korea
In The Last Decade
Stefanos Laskaridis
9 papers receiving 249 citations
Peers
Comparison fields: 5 of 33
- Computer Networks and Communications 139
- Computer Vision and Pattern Recognition 135
- Artificial Intelligence 86
- Electrical and Electronic Engineering 49
- Information Systems 24
Countries citing papers authored by Stefanos Laskaridis
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
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
| # | Work | Indexed citations |
|---|---|---|
| 1 | 3 | |
| 2 | 9 | |
| 3 | 2 | |
| 4 | 17 | |
| 5 | 6 | |
| 6 | 19 | |
| 7 | 3 | |
| 8 | 4 | |
| 9 | 189 |
About Stefanos Laskaridis
Stefanos Laskaridis is a scholar working on Computer Science Applications, Computer Vision and Pattern Recognition and Computer Networks and Communications, having authored 9 papers that have together received 252 indexed citations. Recurring topics across this work include IoT and Edge/Fog Computing (6 papers), Advanced Neural Network Applications (6 papers) and Age of Information Optimization (2 papers). The work is most often cited by research in Computer Vision and Pattern Recognition (135 citations), Computer Networks and Communications (139 citations) and Neurology (23 citations). Stefanos Laskaridis has collaborated with scholars based in United Kingdom, United States and South Korea. Frequent co-authors include Nicholas D. Lane, Mário Almeida, Ilias Leontiadis, Stylianos I. Venieris, Łukasz Dudziak, Alexandros Kouris, Abhinav Mehrotra, Kleomenis Katevas, Hamed Haddadi and Dimitris Spathis. Their work appears in journals such as IEEE Pervasive Computing, ACM Transactions on Embedded Computing Systems and arXiv (Cornell University).
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.