Peter Beyerlein
Impact in
- Signal Processing top 5%
- Speech and Audio Processing
- Music and Audio Processing
- Horticulture top 10%
Papers in
-
- Speech Recognition and Synthesis 17
- Natural Language Processing Techniques 3
-
- Speech and Audio Processing 13
- Music and Audio Processing 8
- Co-authors
- Karam Kostner (2 shared papers)Chamindie Punyadeera (2 shared papers)Justin J. Cooper‐White (2 shared papers)Goce Dimeski (1 shared paper)Reinhold Haeb‐Umbach (10 shared papers)Jeremy Chien (5 shared papers)Michaela S. Banck (3 shared papers)Xavier Aubert (10 shared papers)
- Journals
- Computer Science - Research and Development (2 papers)Nucleic Acids Research (2 papers)Microbial Physiology (1 paper)IEEE/ACM Transactions on Computational Biology and Bioinformatics (1 paper)Genome Research (1 paper)
- Partner nations
- GermanyUnited StatesFinland
In The Last Decade
Peter Beyerlein
47 papers receiving 790 citations
Peers
Comparison fields: 5 of 108
- Signal Processing 234
- Horticulture 12
- Artificial Intelligence 330
- Cancer Research 68
- Periodontics 16
Countries citing papers authored by Peter Beyerlein
This map shows the geographic impact of Peter Beyerlein'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 Peter Beyerlein with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Peter Beyerlein more than expected).
Fields of papers citing papers by Peter Beyerlein
This network shows the impact of papers produced by Peter Beyerlein. 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 Peter Beyerlein. The network helps show where Peter Beyerlein may publish in the future.
Co-authors
The 25 scholars most cited alongside Peter Beyerlein, 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 50 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2011 | 103 | |
| 2 | 2002 | 90 | |
| 3 | 2002 | 74 | |
| 4 | 2014 | 63 | |
| 5 | 2010 | 59 | |
| 6 | 2015 | 56 | |
| 7 | 2015 | 50 | |
| 8 | 2015 | 40 | |
| 9 | 2013 | 32 | |
| 10 | 2002 | 26 | |
| 11 | 2002 | 25 | |
| 12 | 2009 | 22 | |
| 13 | 2010 | 18 | |
| 14 | 1995 | 17 | |
| 15 | 2017 | 15 | |
| 16 | 1997 | 15 | |
| 17 | 1999 | 14 | |
| 18 | 2011 | 13 | |
| 19 | 2002 | 13 | |
| 20 | 1999 | 13 |
About Peter Beyerlein
Peter Beyerlein is a scholar working on Artificial Intelligence, Signal Processing, Computer Vision and Pattern Recognition, Molecular Biology and Cancer Research, having authored 50 papers that have together received 865 indexed citations. Recurring topics across this work include Speech Recognition and Synthesis (17 papers), Speech and Audio Processing (13 papers), Image and Object Detection Techniques (9 papers), Music and Audio Processing (8 papers), Advanced Data Compression Techniques (4 papers), Cardiac electrophysiology and arrhythmias (3 papers), Natural Language Processing Techniques (3 papers) and Medical Imaging and Analysis (3 papers). The work is most often cited by research in Signal Processing (234 citations), Horticulture (12 citations), Artificial Intelligence (330 citations), Cancer Research (68 citations) and Periodontics (16 citations). Peter Beyerlein has collaborated with scholars based in Germany, United States and Finland. Frequent co-authors include Karam Kostner, Chamindie Punyadeera, Justin J. Cooper‐White, Goce Dimeski, Reinhold Haeb‐Umbach, Jeremy Chien, Michaela S. Banck, Xavier Aubert, Andreas S. Beutler and Sanjeev Khudanpur. Their work appears in journals such as Computer Science - Research and Development, Nucleic Acids Research, Microbial Physiology, IEEE/ACM Transactions on Computational Biology and Bioinformatics and Genome Research.
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.