Tom Bäckström
Impact in
- Signal Processing top 1%
- Speech and Audio Processing
- Music and Audio Processing
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- Phonetics and Phonology Research
Papers in
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- Speech and Audio Processing 59
- Music and Audio Processing 16
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- Advanced Data Compression Techniques 40
- Image and Signal Denoising Methods 14
- Co-authors
- Paavo Alku (34 shared papers)Erkki A. Vilkman (7 shared papers)Chandur Sadarangani (5 shared papers)W.M. Arshad (4 shared papers)Laura Lehto (5 shared papers)Jouni Pohjalainen (1 shared paper)Peter A. Thelin (2 shared papers)Johannes Fischer (7 shared papers)
In The Last Decade
Tom Bäckström
100 papers receiving 1.1k citations
Peers
Comparison fields: 5 of 94
- Signal Processing 595
- Experimental and Cognitive Psychology 251
- Artificial Intelligence 511
- Physiology 325
- Computer Vision and Pattern Recognition 244
Countries citing papers authored by Tom Bäckström
This map shows the geographic impact of Tom Bäckström'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 Tom Bäckström with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Tom Bäckström more than expected).
Fields of papers citing papers by Tom Bäckström
This network shows the impact of papers produced by Tom Bäckström. 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 Tom Bäckström. The network helps show where Tom Bäckström may publish in the future.
Co-authors
The 25 scholars most cited alongside Tom Bäckström, 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 112 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2002 | 241 | |
| 2 | 2002 | 87 | |
| 3 | 2009 | 71 | |
| 4 | 2023 | 57 | |
| 5 | 2009 | 50 | |
| 6 | 2004 | 49 | |
| 7 | 2024 | 47 | |
| 8 | 2003 | 45 | |
| 9 | 2005 | 40 | |
| 10 | 2017 | 36 | |
| 11 | 2005 | 35 | |
| 12 | 2006 | 24 | |
| 13 | 2002 | 23 | |
| 14 | 2013 | 21 | |
| 15 | 2015 | 20 | |
| 16 | 2003 | 18 | |
| 17 | 2017 | 16 | |
| 18 | 2015 | 15 | |
| 19 | Optimized Covariance Domain Framework for Time–Frequency Processing of Spatial Audio | 2013 | 15 |
| 20 | 2021 | 13 |
About Tom Bäckström
Tom Bäckström is a scholar working on Signal Processing, Computer Vision and Pattern Recognition, Artificial Intelligence, Computational Mechanics and Experimental and Cognitive Psychology, having authored 112 papers that have together received 1.2k indexed citations. Recurring topics across this work include Speech and Audio Processing (59 papers), Advanced Data Compression Techniques (40 papers), Speech Recognition and Synthesis (23 papers), Advanced Adaptive Filtering Techniques (22 papers), Music and Audio Processing (16 papers), Image and Signal Denoising Methods (14 papers), Voice and Speech Disorders (13 papers) and Phonetics and Phonology Research (12 papers). The work is most often cited by research in Signal Processing (595 citations), Experimental and Cognitive Psychology (251 citations), Artificial Intelligence (511 citations), Physiology (325 citations) and Computer Vision and Pattern Recognition (244 citations). Tom Bäckström has collaborated with scholars based in Finland, Germany and Sweden. Frequent co-authors include Paavo Alku, Erkki A. Vilkman, Chandur Sadarangani, W.M. Arshad, Laura Lehto, Jouni Pohjalainen, Peter A. Thelin, Johannes Fischer, Matti Airas and Christian R. Helmrich. Their work appears in journals such as IEEE Signal Processing Letters, IEEE Access, Logopedics Phoniatrics Vocology, IEEE/ACM Transactions on Audio Speech and Language Processing and IEEE Transactions on Speech and Audio Processing.
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.