Nicholas Vretos
- Computer Vision and Pattern Recognition top 5%
- Artificial Intelligence
- Experimental and Cognitive Psychology
- Oral Surgery top 10%
- Pediatrics, Perinatology and Child Health
- Co-authors
- Petros DarasIoannis PitasV. SolachidisNikos NikolaidisKonstantinos ArapostathisNikolaos KotsanosStylianos AsteriadisFederico Álvarez
- Topics
- Face and Expression Recognition (10 papers)Video Analysis and Summarization (8 papers)Video Surveillance and Tracking Methods (8 papers)
- Partner nations
- GreeceSpainNetherlands
In The Last Decade
Nicholas Vretos
48 papers receiving 346 citations
Peers
Comparison fields: 5 of 95
- Computer Vision and Pattern Recognition 169
- Artificial Intelligence 78
- Experimental and Cognitive Psychology 45
- Oral Surgery 32
- Pediatrics, Perinatology and Child Health 27
Countries citing papers authored by Nicholas Vretos
This map shows the geographic impact of Nicholas Vretos'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 Nicholas Vretos with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Nicholas Vretos more than expected).
Fields of papers citing papers by Nicholas Vretos
This network shows the impact of papers produced by Nicholas Vretos. 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 Nicholas Vretos. The network helps show where Nicholas Vretos may publish in the future.
Co-authorship network of co-authors of Nicholas Vretos
This figure shows the co-authorship network connecting the top 25 collaborators of Nicholas Vretos. A scholar is included among the top collaborators of Nicholas Vretos 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 Nicholas Vretos. Nicholas Vretos is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 5 | |
| 2 | 18 | |
| 3 | 11 | |
| 4 | 4 | |
| 5 | 1 | |
| 6 | 1 | |
| 7 | 9 | |
| 8 | 3 | |
| 9 | 3 | |
| 10 | 25 | |
| 11 | 8 | |
| 12 | 10 | |
| 13 | 5 | |
| 14 | 1 | |
| 15 | 41 | |
| 16 | 9 | |
| 17 | 2 | |
| 18 | 1 | |
| 19 | 5 | |
| 20 | 26 |
About Nicholas Vretos
Nicholas Vretos is a scholar working on Computer Vision and Pattern Recognition, Signal Processing and Computer Science Applications, having authored 50 papers that have together received 361 indexed citations. Recurring topics across this work include Face and Expression Recognition (10 papers), Video Analysis and Summarization (8 papers) and Video Surveillance and Tracking Methods (8 papers). The work is most often cited by research in Computer Vision and Pattern Recognition (169 citations), Oral Surgery (32 citations) and Human-Computer Interaction (21 citations). Nicholas Vretos has collaborated with scholars based in Greece, Spain and Netherlands. Frequent co-authors include Petros Daras, Ioannis Pitas, V. Solachidis, Nikos Nikolaidis, Konstantinos Arapostathis, Nikolaos Kotsanos, Stylianos Asteriadis, Federico Álvarez, Gustavo Hernández-Peñaloza and Alberto Belmonte-Hernández. Their work appears in journals such as IEEE Access, Sensors and Pattern Recognition.
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.