Michael Wohlmayr

440 total citations
17 papers, 303 citations indexed

About

Michael Wohlmayr is a scholar working on Signal Processing, Artificial Intelligence and Computer Vision and Pattern Recognition. According to data from OpenAlex, Michael Wohlmayr has authored 17 papers receiving a total of 303 indexed citations (citations by other indexed papers that have themselves been cited), including 15 papers in Signal Processing, 11 papers in Artificial Intelligence and 3 papers in Computer Vision and Pattern Recognition. Recurrent topics in Michael Wohlmayr's work include Speech and Audio Processing (14 papers), Music and Audio Processing (12 papers) and Speech Recognition and Synthesis (7 papers). Michael Wohlmayr is often cited by papers focused on Speech and Audio Processing (14 papers), Music and Audio Processing (12 papers) and Speech Recognition and Synthesis (7 papers). Michael Wohlmayr collaborates with scholars based in Austria, Germany and United States. Michael Wohlmayr's co-authors include Franz Pernkopf, Michael Stark, Sebastian Tschiatschek, Robert Peharz, Maria Markaki and Yannis Stylianou and has published in prestigious journals such as IEEE Transactions on Pattern Analysis and Machine Intelligence, Pattern Recognition and IEEE Transactions on Audio Speech and Language Processing.

In The Last Decade

Michael Wohlmayr

17 papers receiving 288 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Michael Wohlmayr Austria 7 241 166 71 29 28 17 303
Chang Huai You Singapore 11 251 1.0× 214 1.3× 69 1.0× 48 1.7× 27 1.0× 30 323
Vishak Gopal United States 5 229 1.0× 240 1.4× 58 0.8× 34 1.2× 33 1.2× 11 351
Deng Li United States 10 382 1.6× 360 2.2× 72 1.0× 35 1.2× 17 0.6× 34 467
Xiangdong Su China 10 179 0.7× 187 1.1× 65 0.9× 74 2.6× 30 1.1× 31 318
Matt Shannon United Kingdom 11 250 1.0× 317 1.9× 15 0.2× 26 0.9× 10 0.4× 13 372
Hemant A. Patil India 10 364 1.5× 299 1.8× 58 0.8× 46 1.6× 32 1.1× 21 398
Naoyuki Kamo Japan 10 257 1.1× 255 1.5× 48 0.7× 16 0.6× 24 0.9× 19 341
Aswin Shanmugam Subramanian United States 11 291 1.2× 264 1.6× 42 0.6× 17 0.6× 15 0.5× 23 355
Dušan Macho Spain 7 198 0.8× 151 0.9× 13 0.2× 57 2.0× 11 0.4× 16 254
Chenda Li China 9 297 1.2× 313 1.9× 33 0.5× 24 0.8× 16 0.6× 24 390

Countries citing papers authored by Michael Wohlmayr

Since Specialization
Citations

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

Fields of papers citing papers by Michael Wohlmayr

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Michael Wohlmayr

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

All Works

17 of 17 papers shown
1.
Wohlmayr, Michael, et al.. (2014). Self-adaption in single-channel source separation. 1003–1007. 2 indexed citations
2.
Wohlmayr, Michael & Franz Pernkopf. (2013). Model-Based Multiple Pitch Tracking Using Factorial HMMs: Model Adaptation and Inference. IEEE Transactions on Audio Speech and Language Processing. 21(8). 1742–1754. 6 indexed citations
3.
Pernkopf, Franz & Michael Wohlmayr. (2012). Stochastic margin-based structure learning of Bayesian network classifiers. Pattern Recognition. 46(2). 464–471. 27 indexed citations
4.
Pernkopf, Franz, Michael Wohlmayr, & Sebastian Tschiatschek. (2011). Maximum Margin Bayesian Network Classifiers. IEEE Transactions on Pattern Analysis and Machine Intelligence. 34(3). 521–532. 31 indexed citations
5.
Peharz, Robert, Michael Wohlmayr, & Franz Pernkopf. (2011). Gain-robust multi-pitch tracking using sparse nonnegative matrix factorization. 5416–5419. 5 indexed citations
6.
Wohlmayr, Michael, Robert Peharz, & Franz Pernkopf. (2011). Efficient implementation of probabilistic multi-pitch tracking. b30. 5412–5415. 3 indexed citations
7.
Wohlmayr, Michael & Franz Pernkopf. (2011). EM-based gain adaptation for probabilistic multipitch tracking. 1969–1972. 3 indexed citations
8.
Wohlmayr, Michael, et al.. (2011). A pitch tracking corpus with evaluation on multipitch tracking scenario. 1509–1512. 88 indexed citations
9.
Stark, Michael, Michael Wohlmayr, & Franz Pernkopf. (2010). Source–Filter-Based Single-Channel Speech Separation Using Pitch Information. IEEE Transactions on Audio Speech and Language Processing. 19(2). 242–255. 46 indexed citations
10.
Wohlmayr, Michael, Michael Stark, & Franz Pernkopf. (2010). A mixture maximization approach to multipitch tracking with factorial hidden Markov models. 5. 5070–5073. 1 indexed citations
11.
Stark, Michael, Michael Wohlmayr, & Franz Pernkopf. (2010). Single Channel Speech Separation Using Source-Filter Representation. 401. 826–829. 2 indexed citations
12.
Wohlmayr, Michael, Michael Stark, & Franz Pernkopf. (2010). A Probabilistic Interaction Model for Multipitch Tracking With Factorial Hidden Markov Models. IEEE Transactions on Audio Speech and Language Processing. 19(4). 799–810. 48 indexed citations
13.
Wohlmayr, Michael & Franz Pernkopf. (2009). Finite mixture spectrogram modeling for multipitch tracking using a factorial hidden Markov model. 1079–1082. 5 indexed citations
14.
Wohlmayr, Michael & Franz Pernkopf. (2008). Multipitch tracking using a factorial hidden Markov model. 147–150. 3 indexed citations
15.
Pernkopf, Franz, et al.. (2007). Joint Position-Pitch Tracking for 2-Channel Audio. 303–306. 14 indexed citations
16.
Wohlmayr, Michael, Maria Markaki, & Yannis Stylianou. (2007). Speech - Nonspeech Discrimination Based On Speech-Relevant Spectrogram Modulations. Zenodo (CERN European Organization for Nuclear Research). 1551–1555. 1 indexed citations
17.
Wohlmayr, Michael, et al.. (2007). Joint position-pitch extraction from multichannel audio. 1629–1632. 18 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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