Jaakko Peltonen
- Artificial Intelligence top 2%
- Computer Vision and Pattern Recognition top 2%
- Information Systems top 5%
- Signal Processing top 5%
- Molecular Biology
- Co-authors
- Samuel KaskiHelena AidosJanne SinkkonenJarkko VennaDaniel A. KeimJohn A. LeeStephen C. NorthDominik Sacha
- Topics
- Data Visualization and Analytics (18 papers)Neural Networks and Applications (12 papers)Face and Expression Recognition (10 papers)
- Journals
- Proceedings of the National Academy of SciencesNature CommunicationsSHILAP Revista de lepidopterología
- Partner nations
- FinlandUnited KingdomGermany
In The Last Decade
Jaakko Peltonen
79 papers receiving 1.4k citations
Peers
Comparison fields: 5 of 148
- Artificial Intelligence 694
- Computer Vision and Pattern Recognition 640
- Information Systems 208
- Signal Processing 183
- Molecular Biology 155
Countries citing papers authored by Jaakko Peltonen
This map shows the geographic impact of Jaakko Peltonen'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 Peltonen with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Jaakko Peltonen more than expected).
Fields of papers citing papers by Jaakko Peltonen
This network shows the impact of papers produced by Jaakko Peltonen. 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 Peltonen. The network helps show where Jaakko Peltonen may publish in the future.
Co-authorship network of co-authors of Jaakko Peltonen
This figure shows the co-authorship network connecting the top 25 collaborators of Jaakko Peltonen. A scholar is included among the top collaborators of Jaakko Peltonen 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 Peltonen. Jaakko Peltonen is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 1 | |
| 2 | 11 | |
| 3 | 2 | |
| 4 | 15 | |
| 5 | 0 | |
| 6 | 27 | |
| 7 | 6 | |
| 8 | 9 | |
| 9 | Steering Distortions to Preserve Classes and Neighbors in Supervised Dimensionality Reduction | 3 |
| 10 | 3 | |
| 11 | PIHVI : Online forum posting analysis with interactive hierarchical visualization | 1 |
| 12 | 4 | |
| 13 | Majorization-Minimization for Manifold Embedding | 4 |
| 14 | Scalable Optimization of Neighbor Embedding for Visualization | 37 |
| 15 | 2 | |
| 16 | Sparse Nonparametric Topic Model for Transfer Learning | 5 |
| 17 | Periodic Finite State Controllers for Efficient POMDP and DEC-POMDP Planning | 28 |
| 18 | Information Retrieval Perspective to Nonlinear Dimensionality Reduction for Data Visualization | 185 |
| 19 | 32 | |
| 20 | Informative discriminant analysis | 26 |
About Jaakko Peltonen
Jaakko Peltonen is a scholar working on Computer Vision and Pattern Recognition, Artificial Intelligence and General Social Sciences, having authored 89 papers that have together received 1.5k indexed citations. Recurring topics across this work include Data Visualization and Analytics (18 papers), Neural Networks and Applications (12 papers) and Face and Expression Recognition (10 papers). The work is most often cited by research in Computer Vision and Pattern Recognition (640 citations), Artificial Intelligence (694 citations) and Signal Processing (183 citations). Jaakko Peltonen has collaborated with scholars based in Finland, United Kingdom and Germany. Frequent co-authors include Samuel Kaski, Helena Aidos, Janne Sinkkonen, Jarkko Venna, Daniel A. Keim, John A. Lee, Stephen C. North, Dominik Sacha, Leishi Zhang and Michael Sedlmair. Their work appears in journals such as Proceedings of the National Academy of Sciences, Nature Communications and SHILAP Revista de lepidopterología.
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.