George Trigeorgis

4.6k total citations · 2 hit papers
17 papers, 1.9k citations indexed

About

George Trigeorgis is a scholar working on Computer Vision and Pattern Recognition, Signal Processing and Computational Mechanics. According to data from OpenAlex, George Trigeorgis has authored 17 papers receiving a total of 1.9k indexed citations (citations by other indexed papers that have themselves been cited), including 14 papers in Computer Vision and Pattern Recognition, 7 papers in Signal Processing and 3 papers in Computational Mechanics. Recurrent topics in George Trigeorgis's work include Face recognition and analysis (8 papers), Face and Expression Recognition (7 papers) and Video Analysis and Summarization (4 papers). George Trigeorgis is often cited by papers focused on Face recognition and analysis (8 papers), Face and Expression Recognition (7 papers) and Video Analysis and Summarization (4 papers). George Trigeorgis collaborates with scholars based in United Kingdom, Finland and Germany. George Trigeorgis's co-authors include Stefanos Zafeiriou, Björn W. Schuller, Mihalis A. Nicolaou, Panagiotis Tzirakis, Konstantinos Bousmalis, Fabien Ringeval, Erik Marchi, Raymond Brueckner, Epameinondas Antonakos and Patrick Snape and has published in prestigious journals such as PLoS ONE, IEEE Transactions on Pattern Analysis and Machine Intelligence and IEEE Transactions on Image Processing.

In The Last Decade

George Trigeorgis

17 papers receiving 1.9k citations

Hit Papers

Adieu features? End-to-end speech emotion recognition usi... 2016 2026 2019 2022 2016 2017 100 200 300 400 500
What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

  1. Adieu features? End-to-end speech emotion recognition using a deep convolutional recurrent network
    2016 564 citations George Trigeorgis, Fabien Ringeval et al. Spiral (Imperial College London) profile →
  2. End-to-End Multimodal Emotion Recognition Using Deep Neural Networks
    2017 450 citations Panagiotis Tzirakis, George Trigeorgis et al. IEEE Journal of Selected Topics in Signal Processing profile →

Peers

George Trigeorgis
Qirong Mao China
Yannis Panagakis United Kingdom
Carlos D. Castillo United States
Mihalis A. Nicolaou United Kingdom
Juergen Luettin Switzerland
Xiuzhuang Zhou China
Xiangxin Zhu United States
László A. Jeni United States
Qin Jin China
Qirong Mao China
George Trigeorgis
Citations per year, relative to George Trigeorgis George Trigeorgis (= 1×) peers Qirong Mao

Countries citing papers authored by George Trigeorgis

Since Specialization
Citations

This map shows the geographic impact of George Trigeorgis'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 George Trigeorgis with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites George Trigeorgis more than expected).

Fields of papers citing papers by George Trigeorgis

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by George Trigeorgis. 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 George Trigeorgis. The network helps show where George Trigeorgis may publish in the future.

Co-authorship network of co-authors of George Trigeorgis

This figure shows the co-authorship network connecting the top 25 collaborators of George Trigeorgis. A scholar is included among the top collaborators of George Trigeorgis 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 George Trigeorgis. George Trigeorgis is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

17 of 17 papers shown
1.
Deng, Jiankang, George Trigeorgis, Yuxiang Zhou, & Stefanos Zafeiriou. (2019). Joint Multi-View Face Alignment in the Wild. IEEE Transactions on Image Processing. 28(7). 3636–3648. 60 indexed citations
2.
Trigeorgis, George, et al.. (2018). Deep and Deformable: Convolutional Mixtures of Deformable Part-Based Models. 22. 218–225. 2 indexed citations
3.
Trigeorgis, George, Patrick Snape, Iasonas Kokkinos, & Stefanos Zafeiriou. (2017). Face Normals "In-the-Wild" Using Fully Convolutional Networks. Spiral (Imperial College London). 340–349. 27 indexed citations
4.
Zafeiriou, Stefanos, Grigorios G. Chrysos, Anastasios Roussos, et al.. (2017). The 3D Menpo Facial Landmark Tracking Challenge. Open Research Exeter (University of Exeter). 2503–2511. 25 indexed citations
5.
Booth, James G., Epameinondas Antonakos, Stylianos Ploumpis, et al.. (2017). 3D Face Morphable Models "In-the-Wild". Middlesex University Research Repository (Middlesex University Of London). 5464–5473. 96 indexed citations
6.
Tzirakis, Panagiotis, George Trigeorgis, Mihalis A. Nicolaou, Björn W. Schuller, & Stefanos Zafeiriou. (2017). End-to-End Multimodal Emotion Recognition Using Deep Neural Networks. IEEE Journal of Selected Topics in Signal Processing. 11(8). 1301–1309. 450 indexed citations breakdown →
7.
Trigeorgis, George, Mihalis A. Nicolaou, Björn W. Schuller, & Stefanos Zafeiriou. (2017). Deep Canonical Time Warping for Simultaneous Alignment and Representation Learning of Sequences. IEEE Transactions on Pattern Analysis and Machine Intelligence. 40(5). 1128–1138. 36 indexed citations
8.
Zafeiriou, Stefanos, George Trigeorgis, Grigorios G. Chrysos, Jiankang Deng, & Jie Shen. (2017). The Menpo Facial Landmark Localisation Challenge: A Step Towards the Solution. University of Oulu Repository (University of Oulu). 2116–2125. 78 indexed citations
9.
Trigeorgis, George, Konstantinos Bousmalis, Stefanos Zafeiriou, & Björn W. Schuller. (2016). A Deep Matrix Factorization Method for Learning Attribute Representations. IEEE Transactions on Pattern Analysis and Machine Intelligence. 39(3). 417–429. 257 indexed citations
10.
Antonakos, Epameinondas, Patrick Snape, George Trigeorgis, & Stefanos Zafeiriou. (2016). Adaptive cascaded regression. University of Oulu Repository (University of Oulu). 7574. 1649–1653. 5 indexed citations
11.
Trigeorgis, George, Mihalis A. Nicolaou, Stefanos Zafeiriou, & Björn W. Schuller. (2016). Deep Canonical Time Warping. Goldsmiths (University of London). 5110–5118. 20 indexed citations
12.
Trigeorgis, George, Fabien Ringeval, Raymond Brueckner, et al.. (2016). Adieu features? End-to-end speech emotion recognition using a deep convolutional recurrent network. Spiral (Imperial College London). 5200–5204. 564 indexed citations breakdown →
13.
Trigeorgis, George, Patrick Snape, Mihalis A. Nicolaou, Epameinondas Antonakos, & Stefanos Zafeiriou. (2016). Mnemonic Descent Method: A Recurrent Process Applied for End-to-End Face Alignment. University of Oulu Repository (University of Oulu). 4177–4187. 201 indexed citations
14.
Trigeorgis, George, Eduardo Coutinho, Fabien Ringeval, et al.. (2015). The ICL-TUM-PASSAU Approach for the MediaEval 2015 "Affective Impact of Movies" Task. OPUS (Augsburg University). 11 indexed citations
15.
Coutinho, Eduardo, George Trigeorgis, Stefanos Zafeiriou, & Björn W. Schuller. (2015). Automatically Estimating Emotion in Music with Deep Long-Short Term Memory Recurrent Neural Networks.. OPUS (Augsburg University). 14 indexed citations
16.
Trigeorgis, George, Konstantinos Bousmalis, Stefanos Zafeiriou, & Björn W. Schuller. (2014). A Deep Semi-NMF Model for Learning Hidden Representations. OPUS (Augsburg University). 1692–1700. 98 indexed citations
17.
Trigeorgis, George, et al.. (2014). An Algorithm for Finding Biologically Significant Features in Microarray Data Based on A Priori Manifold Learning. PLoS ONE. 9(3). e90562–e90562. 5 indexed citations

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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