Markos Georgopoulos
Impact in
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- Computer Graphics and Visualization Techniques
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- Face recognition and analysis
- Advanced Vision and Imaging
- Generative Adversarial Networks and Image Synthesis
- Human Pose and Action Recognition
Papers in
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- Face recognition and analysis 5
- Generative Adversarial Networks and Image Synthesis 3
- Advanced Image Processing Techniques 1
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- 3D Shape Modeling and Analysis 3
- Co-authors
- Lourdes Agapito (3 shared papers)Martin Rünz (3 shared papers)Matthias Nießner (3 shared papers)Yannis Panagakis (3 shared papers)Maja Pantić (3 shared papers)Taras Khakhulin (1 shared paper)J. Starck (1 shared paper)Vesna Crnojević‐Bengin (1 shared paper)
- Journals
- Image and Vision Computing (2 papers)Sensors (1 paper)ACM Transactions on Graphics (1 paper)International Journal of Computer Vision (1 paper)
- Partner nations
- United KingdomGermanyGreece
In The Last Decade
Markos Georgopoulos
7 papers receiving 205 citations
Peers
Comparison fields: 5 of 43
- Computer Graphics and Computer-Aided Design 53
- Computer Vision and Pattern Recognition 125
- Bioengineering 18
- Computational Mechanics 64
- Signal Processing 21
Countries citing papers authored by Markos Georgopoulos
This map shows the geographic impact of Markos Georgopoulos'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 Markos Georgopoulos with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Markos Georgopoulos more than expected).
Fields of papers citing papers by Markos Georgopoulos
This network shows the impact of papers produced by Markos Georgopoulos. 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 Markos Georgopoulos. The network helps show where Markos Georgopoulos may publish in the future.
Co-authors
The 23 scholars most cited alongside Markos Georgopoulos, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2023 | 75 | |
| 2 | 2017 | 53 | |
| 3 | 2021 | 34 | |
| 4 | 2023 | 21 | |
| 5 | 2018 | 17 | |
| 6 | 2024 | 10 | |
| 7 | 2023 | 1 | |
| 8 | 2025 | 0 |
About Markos Georgopoulos
Markos Georgopoulos is a scholar working on Computer Vision and Pattern Recognition, Computational Mechanics, Artificial Intelligence, Biomedical Engineering and Signal Processing, having authored 8 papers that have together received 211 indexed citations. Recurring topics across this work include Face recognition and analysis (5 papers), 3D Shape Modeling and Analysis (3 papers), Generative Adversarial Networks and Image Synthesis (3 papers), Evolutionary Psychology and Human Behavior (1 paper), Gas Sensing Nanomaterials and Sensors (1 paper), Advanced Image Processing Techniques (1 paper), Biosensors and Analytical Detection (1 paper) and Advanced Chemical Sensor Technologies (1 paper). The work is most often cited by research in Computer Graphics and Computer-Aided Design (53 citations), Computer Vision and Pattern Recognition (125 citations), Bioengineering (18 citations), Computational Mechanics (64 citations) and Signal Processing (21 citations). Markos Georgopoulos has collaborated with scholars based in United Kingdom, Germany and Greece. Frequent co-authors include Lourdes Agapito, Martin Rünz, Matthias Nießner, Yannis Panagakis, Maja Pantić, Taras Khakhulin, J. Starck, Vesna Crnojević‐Bengin, V. Tsouti and C. Tsamis. Their work appears in journals such as Image and Vision Computing, Sensors, ACM Transactions on Graphics and International Journal of Computer Vision.
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.