Panos Nasiopoulos

323 total papers · 3.3k total citations
237 papers, 2.3k citations indexed

About

Panos Nasiopoulos is a scholar working on Computer Vision and Pattern Recognition, Signal Processing and Media Technology. According to data from OpenAlex, Panos Nasiopoulos has authored 237 papers receiving a total of 2.3k indexed citations (citations by other indexed papers that have themselves been cited), including 201 papers in Computer Vision and Pattern Recognition, 116 papers in Signal Processing and 37 papers in Media Technology. Recurrent topics in Panos Nasiopoulos's work include Video Coding and Compression Technologies (111 papers), Image and Video Quality Assessment (78 papers) and Advanced Vision and Imaging (73 papers). Panos Nasiopoulos is often cited by papers focused on Video Coding and Compression Technologies (111 papers), Image and Video Quality Assessment (78 papers) and Advanced Vision and Imaging (73 papers). Panos Nasiopoulos collaborates with scholars based in Canada, United States and Qatar. Panos Nasiopoulos's 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 and has published in prestigious journals such as IEEE Transactions on Image Processing, IEEE Transactions on Signal Processing and IEEE Access.

In The Last Decade

Panos Nasiopoulos

219 papers receiving 2.2k citations

Author Peers

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

Author Last Decade Papers Cites
Panos Nasiopoulos 1.9k 1.1k 275 266 252 237 2.3k
André Kaup 2.6k 1.4× 1.1k 1.0× 176 0.6× 74 0.3× 434 1.7× 357 3.0k
A.M. Kondoz 1.8k 0.9× 1.4k 1.3× 301 1.1× 369 1.4× 359 1.4× 255 2.8k
Maria G. Martini 1.7k 0.9× 656 0.6× 617 2.2× 544 2.0× 547 2.2× 189 2.6k
Marco Carli 2.6k 1.3× 375 0.4× 127 0.5× 207 0.8× 988 3.9× 182 3.2k
Nam Ling 2.0k 1.0× 1.1k 1.1× 146 0.5× 112 0.4× 341 1.4× 237 2.4k
Truong Cong Thang 1.1k 0.6× 701 0.7× 586 2.1× 327 1.2× 109 0.4× 159 1.8k
Tiesong Zhao 1.3k 0.7× 509 0.5× 109 0.4× 70 0.3× 317 1.3× 140 1.7k
Riccardo Leonardi 1.8k 0.9× 737 0.7× 215 0.8× 131 0.5× 110 0.4× 207 2.3k
Qibin Sun 1.7k 0.9× 401 0.4× 457 1.7× 275 1.0× 181 0.7× 196 2.9k
Jie Liang 1.7k 0.9× 906 0.8× 907 3.3× 621 2.3× 324 1.3× 236 2.9k

Countries citing papers authored by Panos Nasiopoulos

Since Specialization
Citations

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

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

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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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