Maximilian Schmitt

2.2k total citations
53 papers, 982 citations indexed

About

Maximilian Schmitt is a scholar working on Signal Processing, Experimental and Cognitive Psychology and Artificial Intelligence. According to data from OpenAlex, Maximilian Schmitt has authored 53 papers receiving a total of 982 indexed citations (citations by other indexed papers that have themselves been cited), including 26 papers in Signal Processing, 24 papers in Experimental and Cognitive Psychology and 19 papers in Artificial Intelligence. Recurrent topics in Maximilian Schmitt's work include Emotion and Mood Recognition (20 papers), Music and Audio Processing (20 papers) and Speech and Audio Processing (19 papers). Maximilian Schmitt is often cited by papers focused on Emotion and Mood Recognition (20 papers), Music and Audio Processing (20 papers) and Speech and Audio Processing (19 papers). Maximilian Schmitt collaborates with scholars based in Germany, United Kingdom and Austria. Maximilian Schmitt's co-authors include Björn W. Schuller, Fabien Ringeval, Jing Han, Kun Qian, Maja Pantić, Shahin Amiriparian, Nicholas Cummins, Vedhas Pandit, Zixing Zhang and Anton Batliner and has published in prestigious journals such as SHILAP Revista de lepidopterología, PLoS ONE and IEEE Transactions on Pattern Analysis and Machine Intelligence.

In The Last Decade

Maximilian Schmitt

52 papers receiving 937 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Maximilian Schmitt Germany 19 389 375 369 135 115 53 982
Shahin Amiriparian Germany 21 524 1.3× 464 1.2× 498 1.3× 189 1.4× 102 0.9× 73 1.2k
Tobias Bocklet Germany 19 462 1.2× 298 0.8× 653 1.8× 142 1.1× 363 3.2× 78 1.2k
Maurice Gerczuk Germany 14 260 0.7× 246 0.7× 259 0.7× 92 0.7× 67 0.6× 40 641
Alice Baird Germany 22 641 1.6× 624 1.7× 716 1.9× 230 1.7× 124 1.1× 72 1.7k
Okko Räsänen Finland 21 351 0.9× 306 0.8× 606 1.6× 122 0.9× 52 0.5× 101 1.4k
Vedhas Pandit Germany 9 340 0.9× 157 0.4× 118 0.3× 185 1.4× 78 0.7× 16 618
Simone Hantke Germany 15 249 0.6× 167 0.4× 253 0.7× 70 0.5× 47 0.4× 32 553
Adam C. Lammert United States 14 212 0.5× 288 0.8× 301 0.8× 38 0.3× 123 1.1× 47 738
Vinay Kumar Mittal India 15 329 0.8× 167 0.4× 281 0.8× 78 0.6× 49 0.4× 84 702
Hironori Takemoto Japan 17 378 1.0× 393 1.0× 357 1.0× 89 0.7× 366 3.2× 55 933

Countries citing papers authored by Maximilian Schmitt

Since Specialization
Citations

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

Fields of papers citing papers by Maximilian Schmitt

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Maximilian Schmitt

This figure shows the co-authorship network connecting the top 25 collaborators of Maximilian Schmitt. A scholar is included among the top collaborators of Maximilian Schmitt 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 Maximilian Schmitt. Maximilian Schmitt 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.
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
2.
Triantafyllopoulos, Andreas, Johannes Wagner, Hagen Wierstorf, et al.. (2022). Probing speech emotion recognition transformers for linguistic knowledge. Interspeech 2022. 146–150. 18 indexed citations
3.
Pokorny, Florian B., Maximilian Schmitt, Matthias Egger, et al.. (2022). Automatic vocalisation-based detection of fragile X syndrome and Rett syndrome. Scientific Reports. 12(1). 13345–13345. 10 indexed citations
4.
Qian, Kun, Maximilian Schmitt, Huaiyuan Zheng, et al.. (2021). Computer Audition for Fighting the SARS-CoV-2 Corona Crisis—Introducing the Multitask Speech Corpus for COVID-19. IEEE Internet of Things Journal. 8(21). 16035–16046. 16 indexed citations
5.
Batliner, Anton, Christian Bergler, Simone Hantke, et al.. (2021). Face mask recognition from audio: The MASC database and an overview on the mask challenge. Pattern Recognition. 122. 108361–108361. 20 indexed citations
6.
Wolf, Stephan, Maximilian Schmitt, & Björn W. Schuller. (2020). A football player rating system. OPUS (Augsburg University). 6(4). 243–257. 8 indexed citations
7.
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
8.
Qian, Kun, Christoph Janott, Maximilian Schmitt, et al.. (2020). Can Machine Learning Assist Locating the Excitation of Snore Sound? A Review. IEEE Journal of Biomedical and Health Informatics. 25(4). 1233–1246. 25 indexed citations
9.
Kossaifi, Jean, Robert Walecki, Yannis Panagakis, et al.. (2019). SEWA DB: A Rich Database for Audio-Visual Emotion and Sentiment Research in the Wild. IEEE Transactions on Pattern Analysis and Machine Intelligence. 43(3). 1022–1040. 157 indexed citations
10.
Schmitt, Maximilian, Jens O. Brunner, Bernhard Bauer, et al.. (2019). Automated Classification of Airborne Pollen using Neural Networks. PubMed. 2019. 4474–4478. 20 indexed citations
11.
Mallol-Ragolta, Adria, Maximilian Schmitt, Alice Baird, Nicholas Cummins, & Björn W. Schuller. (2019). Performance Analysis of Unimodal and Multimodal Models in Valence-Based Empathy Recognition. OPUS (Augsburg University). 1–5. 1 indexed citations
12.
Janott, Christoph, Christian Rohrmeier, Maximilian Schmitt, Werner Hemmert, & Björn W. Schuller. (2019). Snoring - An Acoustic Definition. PubMed. 68. 3653–3657. 4 indexed citations
13.
Amiriparian, Shahin, Jing Han, Maximilian Schmitt, et al.. (2019). Synchronization in Interpersonal Speech. Frontiers in Robotics and AI. 6. 116–116. 12 indexed citations
14.
Janott, Christoph, Maximilian Schmitt, Clemens Heiser, et al.. (2019). VOTE versus ACLTE: Vergleich zweier Schnarchgeräuschklassifikationen mit Methoden des maschinellen Lernens. HNO. 67(9). 670–678. 5 indexed citations
15.
Qian, Kun, Zhao Ren, Maximilian Schmitt, et al.. (2019). Automatic Detection of Major Depressive Disorder via a Bag-of-Behaviour-Words Approach. Zenodo (CERN European Organization for Nuclear Research). 71–75. 6 indexed citations
16.
Parada‐Cabaleiro, Emilia, Maximilian Schmitt, Anton Batliner, et al.. (2018). Identifying Emotions in Opera Singing: Implications of Adverse Acoustic Conditions. International Symposium/Conference on Music Information Retrieval. 376–382. 4 indexed citations
17.
Schuller, Björn W., Stefan Steidl, Anton Batliner, et al.. (2018). The INTERSPEECH 2018 Computational Paralinguistics Challenge: Atypical & Self-Assessed Affect, Crying & Heart Beats. University of Oulu Repository (University of Oulu). 122–126. 62 indexed citations
18.
Eyben, Florian, et al.. (2017). Seeking the SuperStar: Automatic assessment of perceived singing quality. OPUS (Augsburg University). 1560–1569. 5 indexed citations
19.
Schmitt, Maximilian, Christoph Janott, Vedhas Pandit, et al.. (2016). A Bag-of-Audio-Words Approach for Snore Sounds' Excitation Localisation.. OPUS (Augsburg University). 230–234. 28 indexed citations
20.
Schmitt, Maximilian, Erik Marchi, Fabien Ringeval, & Björn W. Schuller. (2016). Towards Cross-lingual Automatic Diagnosis of Autism Spectrum Condition in Children's Voices.. OPUS (Augsburg University). 1–5. 8 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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