Tampere University of Applied Sciences
Impact in
- Cognitive Neuroscience top 5%
- Neural dynamics and brain function
- EEG and Brain-Computer Interfaces
- Neuroscience and Music Perception
- Functional Brain Connectivity Studies
- Media Technology top 1%
- Advanced Image Fusion Techniques
Papers in
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- Digital Filter Design and Implementation 164
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- Image and Signal Denoising Methods 265
- Top scholars
- Riitta HariKaren EgiazarianAlessandro FoiVladimir KatkovnikMatti HämäläinenKostadin DabovRisto J. IlmoniemiMauno Vihinen
- Journals
- Scientific Reports (72 papers)Journal of Low Temperature Physics (68 papers)IEEE Transactions on Magnetics (37 papers)Physica B Condensed Matter (34 papers)Journal of the Association for Information Systems (33 papers)
- Partner nations
- FinlandUnited StatesUnited Kingdom
In The Last Decade
Tampere University of Applied Sciences
5.8k papers receiving 155.8k citations
Peers
Comparison fields: 5 of 249
- Cognitive Neuroscience 19.6k
- Media Technology 8.9k
- Computer Vision and Pattern Recognition 17.6k
- Signal Processing 8.4k
- Gastroenterology 2.5k
Countries citing scholars working at Tampere University of Applied Sciences
This map shows the geographic impact of research produced by authors working at Tampere University of Applied Sciences. 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 papers produced at Tampere University of Applied Sciences with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Tampere University of Applied Sciences more than expected).
Fields of papers published by authors at Tampere University of Applied Sciences
This network shows the impact of papers affiliated with Tampere University of Applied Sciences at the time of their publication. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the papers affiliated with Tampere University of Applied Sciences at the time of their publication.
About Tampere University of Applied Sciences
In recent decades, authors affiliated with Tampere University of Applied Sciences have published 6.7k papers, which have received a total of 169.1k indexed citations . Scholars at this organization have produced 464 papers in Signal Processing, 678 papers in Computer Vision and Pattern Recognition, 243 papers in Media Technology, 1.1k papers in Electrical and Electronic Engineering and 579 papers in Atomic and Molecular Physics, and Optics on the topics of Image and Signal Denoising Methods (265 papers), Digital Filter Design and Implementation (164 papers), Quantum, superfluid, helium dynamics (162 papers), Physics of Superconductivity and Magnetism (145 papers), Atomic and Subatomic Physics Research (131 papers), Advanced Adaptive Filtering Techniques (128 papers), Semiconductor Lasers and Optical Devices (124 papers) and Photonic and Optical Devices (112 papers). Their work is cited by papers focused on Cognitive Neuroscience (19.6k citations), Media Technology (8.9k citations), Computer Vision and Pattern Recognition (17.6k citations), Signal Processing (8.4k citations) and Gastroenterology (2.5k citations). Authors at Tampere University of Applied Sciences collaborate with scholars in Finland, United States and United Kingdom and have published in prestigious journals including Scientific Reports, Journal of Low Temperature Physics, IEEE Transactions on Magnetics, Physica B Condensed Matter and Journal of the Association for Information Systems. Some of Tampere University of Applied Sciences's most productive authors include Riitta Hari, Karen Egiazarian, Alessandro Foi, Vladimir Katkovnik, Matti Hämäläinen, Kostadin Dabov, Risto J. Ilmoniemi, Mauno Vihinen, Osmo Kaleva and O. V. Lounasmaa.
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.