Georgios Rizos

635 total citations
21 papers, 305 citations indexed

About

Georgios Rizos is a scholar working on Artificial Intelligence, Signal Processing and Computer Vision and Pattern Recognition. According to data from OpenAlex, Georgios Rizos has authored 21 papers receiving a total of 305 indexed citations (citations by other indexed papers that have themselves been cited), including 11 papers in Artificial Intelligence, 10 papers in Signal Processing and 5 papers in Computer Vision and Pattern Recognition. Recurrent topics in Georgios Rizos's work include Music and Audio Processing (8 papers), Speech and Audio Processing (6 papers) and Speech Recognition and Synthesis (6 papers). Georgios Rizos is often cited by papers focused on Music and Audio Processing (8 papers), Speech and Audio Processing (6 papers) and Speech Recognition and Synthesis (6 papers). Georgios Rizos collaborates with scholars based in United Kingdom, Germany and Greece. Georgios Rizos's co-authors include Björn W. Schuller, Alice Baird, Ioannis Kompatsiaris, Symeon Papadopoulos, Lukas Stappen, Panagiotis Tzirakis, Sylvain Laizet, Shahin Amiriparian, Antonia F. de C. Hamilton and Anton Batliner and has published in prestigious journals such as SHILAP Revista de lepidopterología, PLoS ONE and Patterns.

In The Last Decade

Georgios Rizos

20 papers receiving 295 citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Georgios Rizos United Kingdom 10 173 92 66 48 38 21 305
Nobuo Sato Japan 9 59 0.3× 86 0.9× 91 1.4× 76 1.6× 54 1.4× 27 319
Alfred Dielmann United Kingdom 8 153 0.9× 75 0.8× 48 0.7× 18 0.4× 79 2.1× 12 254
Wei Shao China 9 237 1.4× 26 0.3× 60 0.9× 7 0.1× 41 1.1× 48 385
C. Longworth United Kingdom 4 84 0.5× 72 0.8× 86 1.3× 10 0.2× 117 3.1× 9 371
Homa Hosseinmardi United States 8 164 0.9× 45 0.5× 28 0.4× 129 2.7× 18 0.5× 15 325
Laurissa Tokarchuk United Kingdom 11 80 0.5× 37 0.4× 19 0.3× 32 0.7× 51 1.3× 54 313
Isar Nejadgholi Canada 11 129 0.7× 29 0.3× 12 0.2× 8 0.2× 19 0.5× 28 279
Dou Hu China 7 319 1.8× 46 0.5× 216 3.3× 52 1.1× 34 0.9× 18 441
Zhenming Yuan China 11 141 0.8× 25 0.3× 14 0.2× 5 0.1× 52 1.4× 49 381

Countries citing papers authored by Georgios Rizos

Since Specialization
Citations

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

Fields of papers citing papers by Georgios Rizos

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Georgios Rizos

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

All Works

20 of 20 papers shown
1.
Rizos, Georgios, et al.. (2024). Propagating variational model uncertainty for bioacoustic call label smoothing. Patterns. 5(3). 100932–100932. 1 indexed citations
2.
Rizos, Georgios, et al.. (2023). Embracing the Imaginary: Deep Complex-valued Networks for Heart Murmur Detection. Computing in cardiology. 1 indexed citations
3.
Calvo, Rafael A., Dorian Peters, Georgios Rizos, et al.. (2023). Assessing the Feasibility of a Text-Based Conversational Agent for Asthma Support: Protocol for a Mixed Methods Observational Study. JMIR Research Protocols. 12. e42965–e42965. 4 indexed citations
4.
Rizos, Georgios, Rafael A. Calvo, & Björn W. Schuller. (2023). Positive-Pair Redundancy Reduction Regularisation for Speech-Based Asthma Diagnosis Prediction. OPUS (Augsburg University). 1–5.
5.
Chen, Junjie, et al.. (2021). An Improved StarGAN for Emotional Voice Conversion: Enhancing Voice Quality and Data Augmentation. OPUS (Augsburg University). 821–825. 8 indexed citations
6.
Laizet, Sylvain, et al.. (2021). Poisson CNN: Convolutional neural networks for the solution of the Poisson equation on a Cartesian mesh. SHILAP Revista de lepidopterología. 2. 35 indexed citations
7.
Rizos, Georgios, et al.. (2021). Evaluating Deep Music Generation Methods Using Data Augmentation. 1–6. 2 indexed citations
8.
Schuller, Björn W., Tuomas Virtanen, Maria Riveiro, et al.. (2021). Towards Sonification in Multimodal and User-friendlyExplainable Artificial Intelligence. OPUS (Augsburg University). 788–792. 14 indexed citations
9.
Rizos, Georgios, et al.. (2021). Multi-Attentive Detection of the Spider Monkey Whinny in the (Actual) Wild. OPUS (Augsburg University). 471–475. 3 indexed citations
10.
Rizos, Georgios, et al.. (2020). Stargan for Emotional Speech Conversion: Validated by Data Augmentation of End-To-End Emotion Recognition. OPUS (Augsburg University). 3502–3506. 32 indexed citations
11.
Stappen, Lukas, Georgios Rizos, & Björn W. Schuller. (2020). X-AWARE: ConteXt-AWARE Human-Environment Attention Fusion for Driver Gaze Prediction in the Wild. OPUS (Augsburg University). 858–867. 11 indexed citations
12.
Stappen, Lukas, Georgios Rizos, Madina Hasan, Thomas Hain, & Björn W. Schuller. (2020). Uncertainty-Aware Machine Support for Paper Reviewing on the Interspeech 2019 Submission Corpus. OPUS (Augsburg University). 1808–1812. 7 indexed citations
13.
Rizos, Georgios, Anton Batliner, Alice Baird, et al.. (2020). Deep Attentive End-to-End Continuous Breath Sensing from Speech. OPUS (Augsburg University). 2082–2086. 2 indexed citations
14.
Schuller, Björn W., Anton Batliner, Christian Bergler, et al.. (2020). The INTERSPEECH 2020 Computational Paralinguistics Challenge: Elderly Emotion, Breathing & Masks. 2042–2046. 28 indexed citations
15.
Stappen, Lukas, Alice Baird, Georgios Rizos, et al.. (2020). MuSe 2020 Challenge and Workshop. OPUS (Augsburg University). 35–44. 32 indexed citations
16.
Schuller, Björn W., Anton Batliner, Christian Bergler, et al.. (2020). The INTERSPEECH 2020 Computational Paralinguistics Challenge: Elderly Emotion, Breathing & Masks. OPUS (Augsburg University). 2042–2046. 17 indexed citations
17.
Rizos, Georgios, et al.. (2019). Augment to Prevent. OPUS (Augsburg University). 991–1000. 65 indexed citations
18.
Rizos, Georgios, Symeon Papadopoulos, & Ioannis Kompatsiaris. (2017). Multilabel user classification using the community structure of online networks. PLoS ONE. 12(3). e0173347–e0173347. 9 indexed citations
19.
Rizos, Georgios, Symeon Papadopoulos, & Ioannis Kompatsiaris. (2016). Predicting News Popularity by Mining Online Discussions. 737–742. 26 indexed citations
20.
Rizos, Georgios, et al.. (2009). Fast computation of local correlation coefficients on graphics processing units. Proceedings of SPIE, the International Society for Optical Engineering/Proceedings of SPIE. 7444. 744412–744412. 1 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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