Jaakko Peltonen

2.5k citations
89 papers · 1.5k indexed · h-index 20

Jaakko Peltonen

79 papers receiving 1.4k citations

Peers

Jaakko Peltonen
Comparison fields: 5 of 148
  • Computer Vision and Pattern Recognition 640
  • Artificial Intelligence 694
  • Signal Processing 183
  • Computer Science Applications 59
  • Health Informatics 14
Replace Jörn Kohlhammer with:
Jörn Kohlhammer Germany
Dominik Moritz United States
Marc Streit Austria
Venkat N. Gudivada United States
Weiwei Cui China
Zhicheng Liu United States
Yi Tay Singapore
Mohammad Al Hasan United States
Michael Granitzer Germany
Jaakko Peltonen relative to Jörn Kohlhammer Germany Jörn Kohlhammer's profile →
Citations per field
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Citations per year

Countries citing papers authored by Jaakko Peltonen

Since Specialization
Citations

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

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

The 25 scholars most cited alongside Jaakko Peltonen, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Jaakko Peltonen Line = papers co-authored together Jaakko Peltonen links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown
#Work
1 20251
2 202311
3 20232
4 202215
5 20220
6 202127
7 20216
8 20219
9
Steering Distortions to Preserve Classes and Neighbors in Supervised Dimensionality Reduction
20203
10 20203
11
PIHVI : Online forum posting analysis with interactive hierarchical visualization
20181
12 20174
13
Majorization-Minimization for Manifold Embedding
20154
14
Scalable Optimization of Neighbor Embedding for Visualization
201337
15 20132
16
Sparse Nonparametric Topic Model for Transfer Learning
20125
17
Periodic Finite State Controllers for Efficient POMDP and DEC-POMDP Planning
201128
18
Information Retrieval Perspective to Nonlinear Dimensionality Reduction for Data Visualization
2010185
19 200732
20
Informative discriminant analysis
200326

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), Face and Expression Recognition (10 papers), Information Retrieval and Search Behavior (10 papers), Topic Modeling (6 papers), Personal Information Management and User Behavior (5 papers), Advanced Text Analysis Techniques (5 papers) and Computational and Text Analysis Methods (4 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.

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