Andreas Triantafyllopoulos

673 total citations
52 papers, 370 citations indexed

About

Andreas Triantafyllopoulos is a scholar working on Experimental and Cognitive Psychology, Artificial Intelligence and Signal Processing. According to data from OpenAlex, Andreas Triantafyllopoulos has authored 52 papers receiving a total of 370 indexed citations (citations by other indexed papers that have themselves been cited), including 18 papers in Experimental and Cognitive Psychology, 17 papers in Artificial Intelligence and 13 papers in Signal Processing. Recurrent topics in Andreas Triantafyllopoulos's work include Emotion and Mood Recognition (14 papers), Music and Audio Processing (11 papers) and Speech Recognition and Synthesis (11 papers). Andreas Triantafyllopoulos is often cited by papers focused on Emotion and Mood Recognition (14 papers), Music and Audio Processing (11 papers) and Speech Recognition and Synthesis (11 papers). Andreas Triantafyllopoulos collaborates with scholars based in Germany, United Kingdom and Japan. Andreas Triantafyllopoulos's co-authors include Björn W. Schuller, Johannes Wagner, Shuo Liu, Junguo Zhang, Yujie Zhong, Changqing Ding, Shuo Liu, Ingmar Steiner, Gil Keren and Maurice Gerczuk and has published in prestigious journals such as SHILAP Revista de lepidopterología, IEEE Transactions on Pattern Analysis and Machine Intelligence and Proceedings of the IEEE.

In The Last Decade

Andreas Triantafyllopoulos

46 papers receiving 357 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Andreas Triantafyllopoulos Germany 11 145 116 116 54 43 52 370
Simone Hantke Germany 15 167 1.2× 249 2.1× 253 2.2× 66 1.2× 19 0.4× 32 553
Sandra Ottl Germany 13 191 1.3× 207 1.8× 192 1.7× 77 1.4× 5 0.1× 20 483
Maurice Gerczuk Germany 14 246 1.7× 260 2.2× 259 2.2× 101 1.9× 6 0.1× 40 641
Sergey Pugachevskiy Germany 7 103 0.7× 170 1.5× 129 1.1× 43 0.8× 5 0.1× 7 320
S. Lalitha India 10 225 1.6× 154 1.3× 168 1.4× 36 0.7× 3 0.1× 29 397
Jidong Tao United States 10 102 0.7× 171 1.5× 230 2.0× 17 0.3× 60 1.4× 18 400
Ralph van Dinther Netherlands 8 84 0.6× 64 0.6× 18 0.2× 18 0.3× 75 1.7× 18 337
Iulia Lefter Netherlands 10 148 1.0× 66 0.6× 120 1.0× 60 1.1× 27 302
Brian S. Helfer United States 10 324 2.2× 63 0.5× 147 1.3× 116 2.1× 1 0.0× 10 500
Virginia M. Richards United States 18 162 1.1× 287 2.5× 26 0.2× 12 0.2× 22 0.5× 85 1.1k

Countries citing papers authored by Andreas Triantafyllopoulos

Since Specialization
Citations

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

Fields of papers citing papers by Andreas Triantafyllopoulos

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Andreas Triantafyllopoulos

This figure shows the co-authorship network connecting the top 25 collaborators of Andreas Triantafyllopoulos. A scholar is included among the top collaborators of Andreas Triantafyllopoulos 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 Andreas Triantafyllopoulos. Andreas Triantafyllopoulos 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.
Triantafyllopoulos, Andreas, et al.. (2025). Computer Audition: From Task-Specific Machine Learning to Foundation Models. Proceedings of the IEEE. 113(4). 317–343. 1 indexed citations
2.
Triantafyllopoulos, Andreas, et al.. (2025). Vishing: Detecting social engineering in spoken communication — A first survey & urgent roadmap to address an emerging societal challenge. Computer Speech & Language. 94. 101802–101802.
3.
Jing, Xin, Kun Zhou, Andreas Triantafyllopoulos, & Björn W. Schuller. (2025). Enhancing Emotional Text-to-Speech Controllability with Natural Language Guidance through Contrastive Learning and Diffusion Models. 1–5. 2 indexed citations
4.
Jing, Xin, Andreas Triantafyllopoulos, & Björn W. Schuller. (2024). ParaCLAP – Towards a general language-audio model for computational paralinguistic tasks. 1155–1159. 1 indexed citations
5.
6.
Triantafyllopoulos, Andreas, et al.. (2024). Beyond Deep Learning: Charting the Next Frontiers of Affective Computing. SHILAP Revista de lepidopterología. 3. 2 indexed citations
7.
Amiriparian, Shahin, et al.. (2024). Personalised Speech-Based PTSD Prediction Using Weighted-Instance Learning. PubMed. 2024. 1–4.
8.
Triantafyllopoulos, Andreas, Zixing Zhang, Tôru Nakamura, et al.. (2024). Empowering Mental Health Monitoring Using a Macro-Micro Personalization Framework for Multimodal-Multitask Learning: Descriptive Study. JMIR Mental Health. 11. e59512–e59512.
9.
Triantafyllopoulos, Andreas, et al.. (2024). “So . . . my child . . . ” – How Child ADHD Influences the Way Parents Talk. Zenodo (CERN European Organization for Nuclear Research). 2010–2014. 1 indexed citations
10.
Triantafyllopoulos, Andreas, et al.. (2023). Introducing the COVID-19 YouTube (COVYT) speech dataset featuring the same speakers with and without infection. Biomedical Signal Processing and Control. 88. 105642–105642. 4 indexed citations
11.
Triantafyllopoulos, Andreas, et al.. (2023). "Do touch!" - 3D Scanning and Printing Technologies for the Haptic Representation of Cultural Assets: A Study with Blind Target Users. OPUS (Augsburg University). 21–28. 4 indexed citations
12.
Wagner, Johannes, Andreas Triantafyllopoulos, Hagen Wierstorf, et al.. (2023). Dawn of the Transformer Era in Speech Emotion Recognition: Closing the Valence Gap. IEEE Transactions on Pattern Analysis and Machine Intelligence. 45(9). 10745–10759. 4 indexed citations
13.
Rajamani, Kumar, et al.. (2023). Toward Detecting and Addressing Corner Cases in Deep Learning Based Medical Image Segmentation. IEEE Access. 11. 95334–95345. 3 indexed citations
14.
Triantafyllopoulos, Andreas, Björn W. Schuller, Tevfik Metin Sezgin, et al.. (2023). An Overview of Affective Speech Synthesis and Conversion in the Deep Learning Era. Proceedings of the IEEE. 111(10). 1355–1381. 34 indexed citations
15.
Amiriparian, Shahin, et al.. (2023). Personalised Speech-Based Heart Rate Categorisation Using Weighted-Instance Learning. 9–13. 1 indexed citations
16.
Schuller, Björn W., Anton Batliner, Shahin Amiriparian, et al.. (2023). The ACM Multimedia 2023 Computational Paralinguistics Challenge: Emotion Share & Requests. OPUS (Augsburg University). 9635–9639. 11 indexed citations
17.
Gerczuk, Maurice, et al.. (2023). Zero-shot personalization of speech foundation models for depressed mood monitoring. Patterns. 4(11). 100873–100873. 5 indexed citations
18.
Harrer, Mathias, Andreas Triantafyllopoulos, Maurice Gerczuk, et al.. (2022). Personalised depression forecasting using mobile sensor data and ecological momentary assessment. Frontiers in Digital Health. 4. 964582–964582. 27 indexed citations
19.
Triantafyllopoulos, Andreas, Gil Keren, Johannes Wagner, Ingmar Steiner, & Björn W. Schuller. (2019). Towards Robust Speech Emotion Recognition Using Deep Residual Networks for Speech Enhancement. OPUS (Augsburg University). 1691–1695. 38 indexed citations
20.
Skodras, Athanassios, et al.. (2016). A Hilbert-Based Approach to the ENF Extraction Problem. 24. 2 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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