J. Vainio
- Signal Processing top 5%
- Speech and Audio Processing 5
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- Advanced Data Compression Techniques 12
- Applied Psychology top 10%
- Digital Mental Health Interventions 2
- Human-Computer Interaction top 10%
- Innovative Human-Technology Interaction 2
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- Wireless Communication Networks Research 8
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- Advanced Wireless Communication Techniques 4
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- Mobile Health and mHealth Applications 3
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- Advanced Adaptive Filtering Techniques 2
- Co-authors
- R. SalamiK. JärvinenB. BessetteMilan JelínekRémi LefebvreIlkka KorhonenMinna KuljuRaimo Lappalainen
- Journals
- IEEE Transactions on Speech and Audio Processing (1 paper)IEEE Transactions on Information Technology in Biomedicine (1 paper)
- Partner nations
- FinlandCanadaUnited States
In The Last Decade
J. Vainio
18 papers receiving 415 citations
Peers
Comparison fields: 5 of 62
- Signal Processing 199
- Computer Vision and Pattern Recognition 226
- Applied Psychology 51
- Human-Computer Interaction 54
- Computer Networks and Communications 81
Countries citing papers authored by J. Vainio
This map shows the geographic impact of J. Vainio'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 J. Vainio with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites J. Vainio more than expected).
Fields of papers citing papers by J. Vainio
This network shows the impact of papers produced by J. Vainio. 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 J. Vainio. The network helps show where J. Vainio may publish in the future.
Co-authorship network
The 17 scholars most cited alongside J. Vainio, 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 | 2014 | 2 | |
| 2 | 2014 | 4 | |
| 3 | 2010 | 6 | |
| 4 | 2008 | 111 | |
| 5 | User acceptance of a mobile diary for personal wellness management | 2006 | 6 |
| 6 | Wellness diary for mobile phones | 2005 | 18 |
| 7 | 2004 | 5 | |
| 8 | 2004 | 11 | |
| 9 | 2003 | 4 | |
| 10 | 2003 | 1 | |
| 11 | 2003 | 6 | |
| 12 | 2002 | 214 | |
| 13 | 2002 | 1 | |
| 14 | 2002 | 13 | |
| 15 | 2002 | 18 | |
| 16 | 2002 | 35 | |
| 17 | 2001 | 5 | |
| 18 | 2001 | 5 |
About J. Vainio
J. Vainio is a scholar working on Computer Vision and Pattern Recognition, Applied Psychology, Signal Processing, Human-Computer Interaction and Computer Networks and Communications, having authored 18 papers that have together received 465 indexed citations. Recurring topics across this work include Advanced Data Compression Techniques (12 papers), Wireless Communication Networks Research (8 papers), Speech and Audio Processing (5 papers), Advanced Wireless Communication Techniques (4 papers), Mobile Health and mHealth Applications (3 papers), Advanced Adaptive Filtering Techniques (2 papers), Digital Mental Health Interventions (2 papers) and Innovative Human-Technology Interaction (2 papers). The work is most often cited by research in Signal Processing (199 citations), Computer Vision and Pattern Recognition (226 citations), Applied Psychology (51 citations), Human-Computer Interaction (54 citations) and Computer Networks and Communications (81 citations). J. Vainio has collaborated with scholars based in Finland, Canada and United States. Frequent co-authors include R. Salami, K. Järvinen, B. Bessette, Milan Jelínek, Rémi Lefebvre, Ilkka Korhonen, Minna Kulju, Raimo Lappalainen, Juha Pärkkä and Juho Merilahti. Their work appears in journals such as IEEE Transactions on Speech and Audio Processing and IEEE Transactions on Information Technology in Biomedicine.
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.