Panos Nasiopoulos
- Computer Vision and Pattern Recognition top 0.5%
- Signal Processing top 0.5%
- Electrical and Electronic Engineering
- Computer Networks and Communications top 5%
- Media Technology top 1%
- Co-authors
- Mahsa T. PourazadRabab WardColin DoutreHassan MansourMaryam AzimiHamid Reza TohidypourVictor C. M. LeungVíctor Sánchez
- Topics
- Video Coding and Compression Technologies (110 papers)Image and Video Quality Assessment (78 papers)Advanced Vision and Imaging (74 papers)
- Partner nations
- CanadaUnited StatesQatar
In The Last Decade
Panos Nasiopoulos
223 papers receiving 2.2k citations
Peers
Comparison fields: 5 of 101
- Computer Vision and Pattern Recognition 1.9k
- Signal Processing 1.1k
- Electrical and Electronic Engineering 277
- Computer Networks and Communications 266
- Media Technology 255
Countries citing papers authored by Panos Nasiopoulos
This map shows the geographic impact of Panos Nasiopoulos'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 Panos Nasiopoulos with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Panos Nasiopoulos more than expected).
Fields of papers citing papers by Panos Nasiopoulos
This network shows the impact of papers produced by Panos Nasiopoulos. 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 Panos Nasiopoulos. The network helps show where Panos Nasiopoulos may publish in the future.
Co-authorship network of co-authors of Panos Nasiopoulos
This figure shows the co-authorship network connecting the top 25 collaborators of Panos Nasiopoulos. A scholar is included among the top collaborators of Panos Nasiopoulos 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 Panos Nasiopoulos. Panos Nasiopoulos is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 1 | |
| 2 | 0 | |
| 3 | 0 | |
| 4 | 1 | |
| 5 | 1 | |
| 6 | 1 | |
| 7 | 0 | |
| 8 | 7 | |
| 9 | 8 | |
| 10 | Analysis of Power Consumption of H.264/AVC-based Video Sensor Networks through Modeling the Encoding Complexity and Bitrate | 2 |
| 11 | 0 | |
| 12 | 19 | |
| 13 | 26 | |
| 14 | HDR Video Compression Using High Efficiency Video Coding (HEVC) | 5 |
| 15 | 16 | |
| 16 | 40 | |
| 17 | 63 | |
| 18 | 17 | |
| 19 | 11 | |
| 20 | 31 |
About Panos Nasiopoulos
Panos Nasiopoulos is a scholar working on Signal Processing, Computer Vision and Pattern Recognition and Media Technology, having authored 238 papers that have together received 2.4k indexed citations. Recurring topics across this work include Video Coding and Compression Technologies (110 papers), Image and Video Quality Assessment (78 papers) and Advanced Vision and Imaging (74 papers). The work is most often cited by research in Signal Processing (1.1k citations), Computer Vision and Pattern Recognition (1.9k citations) and Media Technology (255 citations). Panos Nasiopoulos has collaborated with scholars based in Canada, United States and Qatar. Frequent co-authors include Mahsa T. Pourazad, Rabab Ward, Colin Doutre, Hassan Mansour, Maryam Azimi, Hamid Reza Tohidypour, Victor C. M. Leung, Víctor Sánchez, Rafeef Abugharbieh and Yaser P. Fallah. Their work appears in journals such as IEEE Transactions on Image Processing, IEEE Transactions on Signal Processing and IEEE Access.
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.