Franz Pernkopf
Impact in
- Signal Processing top 0.5%
- Speech and Audio Processing
- Music and Audio Processing
- Blind Source Separation Techniques
- Artificial Intelligence top 2%
- Speech Recognition and Synthesis
- Bayesian Modeling and Causal Inference
Papers in
-
- Speech Recognition and Synthesis 44
- Bayesian Modeling and Causal Inference 22
- Bayesian Methods and Mixture Models 10
-
- Speech and Audio Processing 69
- Music and Audio Processing 43
- Blind Source Separation Techniques 11
- Co-authors
- Djamel Bouchaffra (1 shared paper)Michael Wohlmayr (15 shared papers)Robert Peharz (17 shared papers)Jeff Bilmes (4 shared papers)Michael Stark (10 shared papers)Sebastian Tschiatschek (13 shared papers)Manfred Husty (1 shared paper)Freyja‐Maria Smolle‐Jüttner (4 shared papers)
- Journals
- IEEE Transactions on Pattern Analysis and Machine Intelligence (5 papers)IEEE Transactions on Audio Speech and Language Processing (4 papers)IEEE/ACM Transactions on Audio Speech and Language Processing (4 papers)Pattern Recognition Letters (3 papers)Pattern Analysis and Applications (2 papers)
- Partner nations
- AustriaUnited StatesGermany
In The Last Decade
Franz Pernkopf
154 papers receiving 1.9k citations
Peers
Comparison fields: 5 of 130
- Signal Processing 792
- Artificial Intelligence 726
- Industrial and Manufacturing Engineering 220
- Computer Vision and Pattern Recognition 426
- Issues, ethics and legal aspects 19
Countries citing papers authored by Franz Pernkopf
This map shows the geographic impact of Franz Pernkopf'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 Franz Pernkopf with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Franz Pernkopf more than expected).
Fields of papers citing papers by Franz Pernkopf
This network shows the impact of papers produced by Franz Pernkopf. 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 Franz Pernkopf. The network helps show where Franz Pernkopf may publish in the future.
Co-authors
The 25 scholars most cited alongside Franz Pernkopf, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 165 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2005 | 193 | |
| 2 | 2011 | 115 | |
| 3 | 2018 | 105 | |
| 4 | 2011 | 90 | |
| 5 | 2004 | 89 | |
| 6 | 2004 | 82 | |
| 7 | 2003 | 73 | |
| 8 | 2020 | 62 | |
| 9 | 2020 | 61 | |
| 10 | 2010 | 49 | |
| 11 | 2010 | 46 | |
| 12 | 2005 | 44 | |
| 13 | 2006 | 42 | |
| 14 | 2002 | 39 | |
| 15 | 2021 | 39 | |
| 16 | 2011 | 31 | |
| 17 | 2014 | 28 | |
| 18 | 2005 | 28 | |
| 19 | 2012 | 27 | |
| 20 | 2010 | 26 |
About Franz Pernkopf
Franz Pernkopf is a scholar working on Artificial Intelligence, Signal Processing, Computational Mechanics, Computer Vision and Pattern Recognition and Industrial and Manufacturing Engineering, having authored 165 papers that have together received 2.0k indexed citations. Recurring topics across this work include Speech and Audio Processing (69 papers), Speech Recognition and Synthesis (44 papers), Music and Audio Processing (43 papers), Advanced Adaptive Filtering Techniques (23 papers), Bayesian Modeling and Causal Inference (22 papers), Blind Source Separation Techniques (11 papers), Bayesian Methods and Mixture Models (10 papers) and Industrial Vision Systems and Defect Detection (10 papers). The work is most often cited by research in Signal Processing (792 citations), Artificial Intelligence (726 citations), Industrial and Manufacturing Engineering (220 citations), Computer Vision and Pattern Recognition (426 citations) and Issues, ethics and legal aspects (19 citations). Franz Pernkopf has collaborated with scholars based in Austria, United States and Germany. Frequent co-authors include Djamel Bouchaffra, Michael Wohlmayr, Robert Peharz, Jeff Bilmes, Michael Stark, Sebastian Tschiatschek, Manfred Husty, Freyja‐Maria Smolle‐Jüttner, Melanie Fediuk and Horst Olschewski. Their work appears in journals such as IEEE Transactions on Pattern Analysis and Machine Intelligence, IEEE Transactions on Audio Speech and Language Processing, IEEE/ACM Transactions on Audio Speech and Language Processing, Pattern Recognition Letters and Pattern Analysis and Applications.
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.