Georgios Rizos

635 citations
21 papers · 305 · h-index 10

Impact in

    • Speech and Audio Processing
    • Music and Audio Processing
    • Topic Modeling
    • Speech Recognition and Synthesis
    • Sentiment Analysis and Opinion Mining
    • Hate Speech and Cyberbullying Detection

Papers in

    • Speech Recognition and Synthesis 6
    • Speech and dialogue systems 3
    • Sentiment Analysis and Opinion Mining 2
    • Music and Audio Processing 8
    • Speech and Audio Processing 6

Georgios Rizos

20 papers receiving 295 citations

Peers

Georgios Rizos
Comparison fields: 5 of 63
  • Signal Processing 92
  • Artificial Intelligence 173
  • Experimental and Cognitive Psychology 66
  • Statistical and Nonlinear Physics 48
  • Health Informatics 5
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Nobuo Sato Japan
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Laurissa Tokarchuk United Kingdom
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Citations per field
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Citations per year

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-authors

The 25 scholars most cited alongside Georgios Rizos, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Georgios Rizos Line = papers co-authored together Georgios Rizos links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 21 papers — load more, or switch the sort, to bring in the rest.

#Work
1 201965
2 202135
3 202032
4 202032
5 202028
6 201626
7 202017
8 202114
9 202011
10 20179
11 20218
12 20207
13 20197
14 20234
15 20213
16 20202
17 20212
18 20231
19 20241
20 20091

About Georgios Rizos

Georgios Rizos is a scholar working on Artificial Intelligence, Signal Processing, Computer Vision and Pattern Recognition, Statistical and Nonlinear Physics and Experimental and Cognitive Psychology, having authored 21 papers that have together received 305 indexed citations. Recurring topics across this work include Music and Audio Processing (8 papers), Speech and Audio Processing (6 papers), Speech Recognition and Synthesis (6 papers), Speech and dialogue systems (3 papers), Emotion and Mood Recognition (3 papers), Sentiment Analysis and Opinion Mining (2 papers), Music Technology and Sound Studies (2 papers) and Animal Vocal Communication and Behavior (2 papers). The work is most often cited by research in Signal Processing (92 citations), Artificial Intelligence (173 citations), Experimental and Cognitive Psychology (66 citations), Statistical and Nonlinear Physics (48 citations) and Health Informatics (5 citations). Georgios Rizos has collaborated with scholars based in United Kingdom, Germany and Greece. Frequent co-authors include Björn W. Schuller, Alice Baird, Ioannis Kompatsiaris, Symeon Papadopoulos, Lukas Stappen, Panagiotis Tzirakis, Sylvain Laizet, Anton Batliner, Shahin Amiriparian and Antonia F. de C. Hamilton. Their work appears in journals such as PLoS ONE, Patterns, JMIR Research Protocols, SHILAP Revista de lepidopterología and OPUS (Augsburg University).

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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