Dominik Schiller

647 total citations
25 papers, 331 citations indexed

About

Dominik Schiller is a scholar working on Artificial Intelligence, Social Psychology and Signal Processing. According to data from OpenAlex, Dominik Schiller has authored 25 papers receiving a total of 331 indexed citations (citations by other indexed papers that have themselves been cited), including 14 papers in Artificial Intelligence, 9 papers in Social Psychology and 6 papers in Signal Processing. Recurrent topics in Dominik Schiller's work include Speech and dialogue systems (7 papers), Speech Recognition and Synthesis (5 papers) and Emotion and Mood Recognition (4 papers). Dominik Schiller is often cited by papers focused on Speech and dialogue systems (7 papers), Speech Recognition and Synthesis (5 papers) and Emotion and Mood Recognition (4 papers). Dominik Schiller collaborates with scholars based in Germany, Spain and Greece. Dominik Schiller's co-authors include Elisabeth André, Tobias Huber, Katharina Weitz, Andreas Seiderer, Johannes Wagner, Michael Dietz, Ilhan Aslan, Silvan Mertes, Alice Baird and Patrick Gebhard and has published in prestigious journals such as Scientific Reports, Frontiers in Psychiatry and Frontiers in Digital Health.

In The Last Decade

Dominik Schiller

23 papers receiving 323 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Dominik Schiller Germany	10	165	72	59	58	56	25	331
María-Luisa Martín-Ruiz Spain	12	79 0.5×	42 0.6×	34 0.6×	40 0.7×	13 0.2×	25	319
Cigdem Turan Hong Kong	8	111 0.7×	36 0.5×	23 0.4×	126 2.2×	23 0.4×	11	347
Alexander Mois Aroyo Italy	10	114 0.7×	171 2.4×	72 1.2×	22 0.4×	18 0.3×	17	311
Dagmar Schuller Germany	8	101 0.6×	34 0.5×	11 0.2×	47 0.8×	103 1.8×	13	296
Carmén García Mateo Spain	12	311 1.9×	42 0.6×	16 0.3×	108 1.9×	279 5.0×	86	525
Katharina Weitz Germany	9	211 1.3×	105 1.5×	92 1.6×	47 0.8×	4 0.1×	23	431
Tobias Huber Germany	8	152 0.9×	48 0.7×	66 1.1×	31 0.5×	7 0.1×	14	274
Di Li China	5	331 2.0×	72 1.0×	12 0.2×	57 1.0×	11 0.2×	6	428
Larry Chan United States	5	183 1.1×	51 0.7×	62 1.1×	22 0.4×	4 0.1×	7	298
Tharindu Kaluarachchi New Zealand	5	164 1.0×	34 0.5×	11 0.2×	54 0.9×	33 0.6×	11	320

Countries citing papers authored by Dominik Schiller

Since Specialization

Citations

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

Fields of papers citing papers by Dominik Schiller

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Dominik Schiller

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

All Works

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20 of 20 papers shown

Schwartz, Brian, et al.. (2025). Development and validation of large language model rating scales for automatically transcribed psychological therapy sessions. Scientific Reports. 15(1). 29541–29541.

Schiller, Dominik, et al.. (2025). DISCOVER: a Data-driven Interactive System for Comprehensive Observation, Visualization, and ExploRation of human behavior. Frontiers in Digital Health. 7. 1638539–1638539.

Schiller, Dominik, Silvan Mertes, Tobias Baur, et al.. (2024). Towards Automated Annotation of Infant-Caregiver Engagement Phases with Multimodal Foundation Models. OPUS (Augsburg University). 428–438. 1 indexed citations

Mertes, Silvan, Dominik Schiller, Michael Dietz, Elisabeth André, & Florian Lingenfelser. (2024). The AffectToolbox: Affect Analysis for Everyone. 185–193. 1 indexed citations

Schiller, Dominik, et al.. (2024). Faces of Experimental Pain: Transferability of Deep-Learned Heat Pain Features to Electrical Pain^*. 31–38. 4 indexed citations

Schwartz, Brian, et al.. (2022). Validation and application of the Non-Verbal Behavior Analyzer: An automated tool to assess non-verbal emotional expressions in psychotherapy. Frontiers in Psychiatry. 13. 1026015–1026015. 10 indexed citations

Mertes, Silvan, et al.. (2022). VoiceMe: Personalized voice generation in TTS. Interspeech 2022. 2588–2592. 1 indexed citations

Becker, Linda, et al.. (2022). We’ve never been eye to eye: A Pupillometry Pipeline for the Detection of Stress and Negative Affect in Remote Working Scenarios. OPUS (Augsburg University). 486–493. 5 indexed citations

Müller, Philipp, Michael Dietz, Dominik Schiller, et al.. (2022). MultiMediate'22. Proceedings of the 30th ACM International Conference on Multimedia. 7109–7114. 7 indexed citations

10.

Mertes, Silvan, Dominik Schiller, Peter M. C. Harrison, et al.. (2021). Exploring Emotional Prototypes in a High Dimensional TTS Latent Space. arXiv (Cornell University). 3870–3874. 3 indexed citations

11.

Weitz, Katharina, et al.. (2020). “Let me explain!”: exploring the potential of virtual agents in explainable AI interaction design. Journal on Multimodal User Interfaces. 15(2). 87–98. 66 indexed citations

12.

Mertes, Silvan, Alice Baird, Dominik Schiller, Björn W. Schuller, & Elisabeth André. (2020). An Evolutionary-based Generative Approach for Audio Data Augmentation. OPUS (Augsburg University). 1–6. 13 indexed citations

13.

Seiderer, Andreas, Ilhan Aslan, Michael Dietz, et al.. (2019). Mobile Sensing for Wellbeing Estimation of Urban Green using Physiological Signals. OPUS (Augsburg University). 249–254. 3 indexed citations

14.

Dietz, Michael, et al.. (2019). Stress Annotations from Older Adults - Exploring the Foundations for Mobile ML-Based Health Assistance. OPUS (Augsburg University). 149–158. 8 indexed citations

15.

Schiller, Dominik, Tobias Huber, Florian Lingenfelser, et al.. (2019). Relevance-Based Feature Masking: Improving Neural Network Based Whale Classification Through Explainable Artificial Intelligence. OPUS (Augsburg University). 2423–2427. 9 indexed citations

16.

Weitz, Katharina, et al.. (2019). "Do you trust me?". OPUS (Augsburg University). 7–9. 84 indexed citations

17.

Wagner, Johannes, Dominik Schiller, Andreas Seiderer, & Elisabeth André. (2018). Deep Learning in Paralinguistic Recognition Tasks: Are Hand-crafted Features Still Relevant?. OPUS (Augsburg University). 147–151. 38 indexed citations

18.

Seiderer, Andreas, et al.. (2018). Using an evolutionary approach to explore convolutional neural networks for acoustic scene classification. OPUS (Augsburg University). 8 indexed citations

19.

Wagner, Johannes, et al.. (2017). Infected Phonemes: How a Cold Impairs Speech on a Phonetic Level. OPUS (Augsburg University). 3457–3461. 11 indexed citations

20.

Sukno, Federico M., et al.. (2016). A Multimodal Annotation Schema for Non-Verbal Affective Analysis in the Health-Care Domain. Repositori digital de la UPF (Universitat Pompeu Fabra). 9–14. 3 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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