Tom Bäckström
- Signal Processing top 1%
- Speech and Audio Processing 56
- Music and Audio Processing 15
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- Phonetics and Phonology Research 12
- Artificial Intelligence top 2%
- Speech Recognition and Synthesis 22
- Physiology top 10%
- Voice and Speech Disorders 13
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- Advanced Data Compression Techniques 36
- Image and Signal Denoising Methods 13
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- Advanced Adaptive Filtering Techniques 21
Tom Bäckström
95 papers receiving 1.1k citations
Peers
Comparison fields: 5 of 89
- Signal Processing 557
- Experimental and Cognitive Psychology 264
- Artificial Intelligence 496
- Physiology 326
- Computer Vision and Pattern Recognition 220
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-authorship network
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
| # | Work | ||
|---|---|---|---|
| 1 | 2024 | 0 | |
| 2 | 2023 | 47 | |
| 3 | 2023 | 1 | |
| 4 | 2023 | 1 | |
| 5 | 2021 | 0 | |
| 6 | 2017 | 2 | |
| 7 | Coding of Parametric Models with Randomized Quantization in a Distributed Speech and Audio Codec. | 2016 | 2 |
| 8 | 2015 | 14 | |
| 9 | Optimized Covariance Domain Framework for Time–Frequency Processing of Spatial Audio | 2013 | 13 |
| 10 | The Transient Steering Decorrelator Tool in the Upcoming MPEG Unified Speech and Audio Coding Standard | 2011 | 4 |
| 11 | 2009 | 3 | |
| 12 | 2009 | 2 | |
| 13 | 2007 | 1 | |
| 14 | 2006 | 5 | |
| 15 | Root-exchange property of constrained linear predictive models | 2003 | 0 |
| 16 | 2003 | 8 | |
| 17 | 2003 | 45 | |
| 18 | All-pole modeling of noisy speech with the Weighted Sum of the Line Spectrum Pair | 2002 | 1 |
| 19 | 2002 | 3 | |
| 20 | 2002 | 8 |
About Tom Bäckström
Tom Bäckström is a scholar working on Signal Processing, Computer Vision and Pattern Recognition, Computational Mechanics, Artificial Intelligence and Experimental and Cognitive Psychology, having authored 106 papers that have together received 1.1k indexed citations. Recurring topics across this work include Speech and Audio Processing (56 papers), Advanced Data Compression Techniques (36 papers), Speech Recognition and Synthesis (22 papers), Advanced Adaptive Filtering Techniques (21 papers), Music and Audio Processing (15 papers), Voice and Speech Disorders (13 papers), Image and Signal Denoising Methods (13 papers) and Phonetics and Phonology Research (12 papers). The work is most often cited by research in Signal Processing (557 citations), Experimental and Cognitive Psychology (264 citations), Artificial Intelligence (496 citations), Physiology (326 citations) and Computer Vision and Pattern Recognition (220 citations). Tom Bäckström has collaborated with scholars based in Finland, Germany and Sweden. Frequent co-authors include Paavo Alku, Erkki Vilkman, Chandur Sadarangani, W.M. Arshad, Laura Lehto, Jouni Pohjalainen, Peter Thelin, Johannes Fischer, Brad H. Story and Santeri Yrttiaho. Their work appears in journals such as IEEE Signal Processing Letters, Logopedics Phoniatrics Vocology, IEEE Access, 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.