Jouko Lampinen
- Artificial Intelligence top 2%
- Cognitive Neuroscience top 5%
- Computer Vision and Pattern Recognition top 5%
- Signal Processing top 5%
- Environmental Engineering top 10%
- Co-authors
- Aki VehtariSimo SärkkäMikko SamsErkki OjaIiro P. JääskeläinenLauri NummenmaaAthanasios GotsopoulosHeini Saarimäki
- Topics
- Neural Networks and Applications (11 papers)Fault Detection and Control Systems (8 papers)Gaussian Processes and Bayesian Inference (8 papers)
- Partner nations
- FinlandUnited StatesSwitzerland
In The Last Decade
Jouko Lampinen
45 papers receiving 1.6k citations
Peers
Comparison fields: 5 of 153
- Artificial Intelligence 559
- Cognitive Neuroscience 466
- Computer Vision and Pattern Recognition 250
- Signal Processing 195
- Environmental Engineering 156
Countries citing papers authored by Jouko Lampinen
This map shows the geographic impact of Jouko Lampinen'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 Jouko Lampinen with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Jouko Lampinen more than expected).
Fields of papers citing papers by Jouko Lampinen
This network shows the impact of papers produced by Jouko Lampinen. 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 Jouko Lampinen. The network helps show where Jouko Lampinen may publish in the future.
Co-authorship network of co-authors of Jouko Lampinen
This figure shows the co-authorship network connecting the top 25 collaborators of Jouko Lampinen. A scholar is included among the top collaborators of Jouko Lampinen 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 Jouko Lampinen. Jouko Lampinen is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 48 | |
| 2 | 299 | |
| 3 | 102 | |
| 4 | 45 | |
| 5 | 15 | |
| 6 | 13 | |
| 7 | 23 | |
| 8 | 50 | |
| 9 | 48 | |
| 10 | 214 | |
| 11 | Rao-Blackwellized Monte Carlo Data Association for Multiple Target Tracking | 61 |
| 12 | Reversible jump MCMC for two-state multivariate poisson mixtures | 0 |
| 13 | 16 | |
| 14 | 265 | |
| 15 | Bayesian techniques for neural networks — Review and case studies | 5 |
| 16 | Self-Organizing Maps in data analysis - notes on overfitting and overinterpretation. | 7 |
| 17 | Analytical comparison of the Temporal Kohonen Map and the Recurrent Self Organizing Map. | 5 |
| 18 | 2 | |
| 19 | 3 | |
| 20 | Neural pattern recognition : distortion tolerance by self-organizing maps | 4 |
About Jouko Lampinen
Jouko Lampinen is a scholar working on Space and Planetary Science, Artificial Intelligence and Signal Processing, having authored 46 papers that have together received 1.7k indexed citations. Recurring topics across this work include Neural Networks and Applications (11 papers), Fault Detection and Control Systems (8 papers) and Gaussian Processes and Bayesian Inference (8 papers). The work is most often cited by research in Cognitive Neuroscience (466 citations), Signal Processing (195 citations) and Artificial Intelligence (559 citations). Jouko Lampinen has collaborated with scholars based in Finland, United States and Switzerland. Frequent co-authors include Aki Vehtari, Simo Särkkä, Mikko Sams, Erkki Oja, Iiro P. Jääskeläinen, Lauri Nummenmaa, Athanasios Gotsopoulos, Heini Saarimäki, Patrik Vuilleumier and Riitta Hari. Their work appears in journals such as PLoS ONE, NeuroImage and IEEE Transactions on Geoscience and Remote Sensing.
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.