Jaakko Särelä
- Cognitive Neuroscience top 5%
- Signal Processing top 2%
- Artificial Intelligence top 10%
- Computer Vision and Pattern Recognition top 10%
- Analytical Chemistry top 10%
- Co-authors
- Ricardo VigárioErkki OjaMatti HämäläinenHarri ValpolaJukka IivarinenMarkus PeuraAri VisaTimo Honkela
- Topics
- Blind Source Separation Techniques (5 papers)Neural dynamics and brain function (2 papers)Neural Networks and Applications (2 papers)
In The Last Decade
Jaakko Särelä
10 papers receiving 712 citations
Hit Papers
Peers
Comparison fields: 5 of 89
- Cognitive Neuroscience 524
- Signal Processing 431
- Artificial Intelligence 117
- Computer Vision and Pattern Recognition 59
- Analytical Chemistry 55
Countries citing papers authored by Jaakko Särelä
This map shows the geographic impact of Jaakko Särelä'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 Jaakko Särelä with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Jaakko Särelä more than expected).
Fields of papers citing papers by Jaakko Särelä
This network shows the impact of papers produced by Jaakko Särelä. 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 Jaakko Särelä. The network helps show where Jaakko Särelä may publish in the future.
Co-authorship network of co-authors of Jaakko Särelä
This figure shows the co-authorship network connecting the top 25 collaborators of Jaakko Särelä. A scholar is included among the top collaborators of Jaakko Särelä based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Jaakko Särelä. Jaakko Särelä is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | Denoising Source Separation | 111 |
| 2 | 3 | |
| 3 | 3 | |
| 4 | Adaptive and Statistical Approaches in Conceptual Modeling | 2 |
| 5 | International Joint Conference on Neural Networks, IJCNN 2004, Budapest, Hungary, July 25-29, 2004 | 27 |
| 6 | Exploratory source separation in biomedical systems | 6 |
| 7 | Dynamical Factor Analysis Of Rhythmic Magnetoencephalographic Activity | 8 |
| 8 | Independent component approach to the analysis of EEG and MEG recordingsbreakdown → | 562 |
| 9 | 1 | |
| 10 | Comparison of Combined Shape Descriptors for Irregular Objects. | 43 |
About Jaakko Särelä
Jaakko Särelä is a scholar working on Signal Processing, Cognitive Neuroscience and Artificial Intelligence, having authored 10 papers that have together received 766 indexed citations. Recurring topics across this work include Blind Source Separation Techniques (5 papers), Neural dynamics and brain function (2 papers) and Neural Networks and Applications (2 papers). The work is most often cited by research in Signal Processing (431 citations), Cognitive Neuroscience (524 citations) and Analytical Chemistry (55 citations). Jaakko Särelä has collaborated with scholars based in Finland and Russia. Frequent co-authors include Ricardo Vigário, Erkki Oja, Matti Hämäläinen, Harri Valpola, Jukka Iivarinen, Markus Peura, Ari Visa, Timo Honkela, Krista Lagus and Veikko Jousmäki. Their work appears in journals such as NeuroImage, IEEE Transactions on Biomedical Engineering and Journal of Machine Learning 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.