Andreas Wendemuth

2.4k total citations
107 papers, 1.3k citations indexed

About

Andreas Wendemuth is a scholar working on Artificial Intelligence, Experimental and Cognitive Psychology and Signal Processing. According to data from OpenAlex, Andreas Wendemuth has authored 107 papers receiving a total of 1.3k indexed citations (citations by other indexed papers that have themselves been cited), including 71 papers in Artificial Intelligence, 46 papers in Experimental and Cognitive Psychology and 42 papers in Signal Processing. Recurrent topics in Andreas Wendemuth's work include Emotion and Mood Recognition (45 papers), Speech and Audio Processing (37 papers) and Speech Recognition and Synthesis (34 papers). Andreas Wendemuth is often cited by papers focused on Emotion and Mood Recognition (45 papers), Speech and Audio Processing (37 papers) and Speech Recognition and Synthesis (34 papers). Andreas Wendemuth collaborates with scholars based in Germany, United Kingdom and Switzerland. Andreas Wendemuth's co-authors include Bogdan Vlasenko, Björn W. Schuller, Gerhard Rigoll, Florian Eyben, Ronald Böck, Ingo Siegert, Martin Wöllmer, André Stuhlsatz, Susanne Biundo and Sven E. Krüger and has published in prestigious journals such as Neural Computation, Neurocomputing and SAE technical papers on CD-ROM/SAE technical paper series.

In The Last Decade

Andreas Wendemuth

103 papers receiving 1.2k 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 Wendemuth Germany 16 797 708 666 233 170 107 1.3k
Shrikanth Narayanan United States 21 645 0.8× 796 1.1× 536 0.8× 239 1.0× 150 0.9× 78 1.4k
Dino Seppi Germany 13 834 1.0× 666 0.9× 647 1.0× 181 0.8× 139 0.8× 26 1.2k
Dimitrios Ververidis Greece 15 815 1.0× 572 0.8× 711 1.1× 358 1.5× 117 0.7× 24 1.4k
Angeliki Metallinou United States 23 816 1.0× 686 1.0× 478 0.7× 304 1.3× 233 1.4× 35 1.3k
M. Lang Germany 17 899 1.1× 591 0.8× 739 1.1× 466 2.0× 151 0.9× 42 1.5k
Panagiotis Tzirakis United Kingdom 15 824 1.0× 479 0.7× 492 0.7× 354 1.5× 152 0.9× 29 1.4k
Athanasios Katsamanis Greece 20 653 0.8× 661 0.9× 667 1.0× 357 1.5× 221 1.3× 68 1.5k
Ya Li China 21 601 0.8× 604 0.9× 362 0.5× 350 1.5× 140 0.8× 120 1.3k
Say Wei Foo Singapore 11 589 0.7× 382 0.5× 588 0.9× 421 1.8× 75 0.4× 56 1.1k
Zheng Lian China 22 862 1.1× 749 1.1× 390 0.6× 364 1.6× 168 1.0× 87 1.5k

Countries citing papers authored by Andreas Wendemuth

Since Specialization
Citations

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

Fields of papers citing papers by Andreas Wendemuth

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Andreas Wendemuth

This figure shows the co-authorship network connecting the top 25 collaborators of Andreas Wendemuth. A scholar is included among the top collaborators of Andreas Wendemuth 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 Wendemuth. Andreas Wendemuth 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.
Siegert, Ingo, et al.. (2021). Admitting the addressee detection faultiness of voice assistants to improve the activation performance using a continuous learning framework. Cognitive Systems Research. 70. 65–79. 1 indexed citations
2.
Wendemuth, Andreas, et al.. (2019). On Emotions as Features for Speech Overlaps Classification. IEEE Transactions on Affective Computing. 13(1). 175–186. 1 indexed citations
3.
Ihme, Klas, et al.. (2018). Recognizing Behavioral Factors while Driving: A Real-World Multimodal Corpus to Monitor the Driver’s Affective State. Language Resources and Evaluation. 2 indexed citations
4.
Siegert, Ingo & Andreas Wendemuth. (2017). ikannotate2 – A Tool Supporting Annotation of Emotions in Audio- Visual Data. 3 indexed citations
5.
Siegert, Ingo, et al.. (2016). Emotion Intelligibility within Codec-Compressed and Reduced Bandwidth Speech.. 1–5.
6.
7.
Siegert, Ingo, et al.. (2014). Application of image processing methods to filled pauses detection from spontaneous speech. 1816–1820. 5 indexed citations
8.
9.
Böck, Ronald, et al.. (2013). Auto-Encoder Pre-Training of Segmented-Memory Recurrent Neural Networks. The European Symposium on Artificial Neural Networks. 1 indexed citations
10.
Rösner, Dietmar, Ingo Siegert, Stephan Günther, et al.. (2013). Analysis of significant dialog events in realistic human–computer interaction. Journal on Multimodal User Interfaces. 8(1). 75–86. 10 indexed citations
11.
Frommer, Jörg, Bernd Michaelis, Dietmar Rösner, et al.. (2012). Towards Emotion and Affect Detection in the Multimodal LAST MINUTE Corpus. Language Resources and Evaluation. 3064–3069. 9 indexed citations
12.
Vlasenko, Bogdan, et al.. (2012). Modeling phonetic pattern variability in favor of the creation of robust emotion classifiers for real-life applications. Computer Speech & Language. 28(2). 483–500. 33 indexed citations
13.
Siegert, Ingo, Ayoub Al-Hamadi, Andreas Wendemuth, et al.. (2012). Multimodal affect recognition in spontaneous HCI environment. 430–435. 7 indexed citations
14.
Wendemuth, Andreas, et al.. (2010). Temporal context and conditional associative learning. BMC Neuroscience. 11(1). 45–45. 8 indexed citations
15.
Krüger, Sven E., et al.. (2007). Updates for nonlinear discriminants. International Joint Conference on Artificial Intelligence. 660–665. 1 indexed citations
16.
Krüger, Sven E., et al.. (2007). Memory-Effcient Orthogonal Least Squares Kernel Density Estimation using Enhanced Empirical Cumulative Distribution Functions. International Conference on Artificial Intelligence and Statistics. 428–435. 2 indexed citations
17.
Wendemuth, Andreas, et al.. (2006). Grundlagen der digitalen Signalverarbeitung: Ein mathematischer Zugang (Springer-Lehrbuch). Springer eBooks.
18.
Krüger, Sven E., et al.. (2006). Kernel Least-Squares Models Using Updates of the Pseudoinverse. Neural Computation. 18(12). 2928–2935. 7 indexed citations
19.
20.
Beyerlein, Peter, Xavier Aubert, Reinhold Haeb‐Umbach, et al.. (1999). The philips/RWTH system for transcription of broadcast news. 647–650. 13 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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