Panagiotis Kasnesis
- Computer Networks and Communications top 10%
- Computer Vision and Pattern Recognition top 10%
- Information Systems top 10%
- Electrical and Electronic Engineering
- Artificial Intelligence
- Co-authors
- Charalampos Z. PatrikakisIakovos S. VenierisDimitra I. KaklamaniDimitrios G. KogiasDimitris UzunidisStelios Α. MitilineosStelios M. PotirakisMichalis Feidakis
- Topics
- Context-Aware Activity Recognition Systems (10 papers)IoT and Edge/Fog Computing (6 papers)Non-Invasive Vital Sign Monitoring (6 papers)
In The Last Decade
Panagiotis Kasnesis
31 papers receiving 245 citations
Peers
Comparison fields: 5 of 72
- Computer Networks and Communications 121
- Computer Vision and Pattern Recognition 62
- Information Systems 55
- Electrical and Electronic Engineering 45
- Artificial Intelligence 37
Countries citing papers authored by Panagiotis Kasnesis
This map shows the geographic impact of Panagiotis Kasnesis'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 Panagiotis Kasnesis with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Panagiotis Kasnesis more than expected).
Fields of papers citing papers by Panagiotis Kasnesis
This network shows the impact of papers produced by Panagiotis Kasnesis. 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 Panagiotis Kasnesis. The network helps show where Panagiotis Kasnesis may publish in the future.
Co-authorship network of co-authors of Panagiotis Kasnesis
This figure shows the co-authorship network connecting the top 25 collaborators of Panagiotis Kasnesis. A scholar is included among the top collaborators of Panagiotis Kasnesis 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 Panagiotis Kasnesis. Panagiotis Kasnesis is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 0 | |
| 2 | 1 | |
| 3 | 3 | |
| 4 | 0 | |
| 5 | 0 | |
| 6 | 5 | |
| 7 | 3 | |
| 8 | 3 | |
| 9 | 7 | |
| 10 | 5 | |
| 11 | 8 | |
| 12 | 12 | |
| 13 | 8 | |
| 14 | 6 | |
| 15 | 7 | |
| 16 | 65 | |
| 17 | 16 | |
| 18 | 16 | |
| 19 | 9 | |
| 20 | 1 |
About Panagiotis Kasnesis
Panagiotis Kasnesis is a scholar working on Computer Vision and Pattern Recognition, Transportation and Human-Computer Interaction, having authored 38 papers that have together received 254 indexed citations. Recurring topics across this work include Context-Aware Activity Recognition Systems (10 papers), IoT and Edge/Fog Computing (6 papers) and Non-Invasive Vital Sign Monitoring (6 papers). The work is most often cited by research in Computer Networks and Communications (121 citations), Computer Science Applications (17 citations) and Computer Vision and Pattern Recognition (62 citations). Panagiotis Kasnesis has collaborated with scholars based in Greece, Italy and Spain. Frequent co-authors include Charalampos Z. Patrikakis, Iakovos S. Venieris, Dimitra I. Kaklamani, Dimitrios G. Kogias, Dimitris Uzunidis, Stelios Α. Mitilineos, Stelios M. Potirakis, Michalis Feidakis, Ryan Heartfield and George Loukas. Their work appears in journals such as Sensors, Applied Soft Computing and Pattern Recognition Letters.
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.