Jarkko Venna

1.4k total citations
17 papers, 798 citations indexed

About

Jarkko Venna is a scholar working on Artificial Intelligence, Computer Vision and Pattern Recognition and Molecular Biology. According to data from OpenAlex, Jarkko Venna has authored 17 papers receiving a total of 798 indexed citations (citations by other indexed papers that have themselves been cited), including 11 papers in Artificial Intelligence, 10 papers in Computer Vision and Pattern Recognition and 6 papers in Molecular Biology. Recurrent topics in Jarkko Venna's work include Neural Networks and Applications (8 papers), Face and Expression Recognition (5 papers) and Gene expression and cancer classification (5 papers). Jarkko Venna is often cited by papers focused on Neural Networks and Applications (8 papers), Face and Expression Recognition (5 papers) and Gene expression and cancer classification (5 papers). Jarkko Venna collaborates with scholars based in Finland and Russia. Jarkko Venna's co-authors include Samuel Kaski, Jaakko Peltonen, Helena Aidos, Petri Törönen, Eero Ċastrén, Janne Nikkilä, Garry Wong, Teuvo Kohonen and Merja Oja and has published in prestigious journals such as BMC Bioinformatics, Neural Networks and Journal of Machine Learning Research.

In The Last Decade

Jarkko Venna

16 papers receiving 716 citations

Peers

Jarkko Venna
Comparison fields: 5 of 105
  • Computer Vision and Pattern Recognition 422
  • Artificial Intelligence 364
  • Molecular Biology 187
  • Signal Processing 101
  • Computational Theory and Mathematics 56
Replace David López-Paz with:
David López-Paz Germany
Júnior Barrera Brazil
L.K. Saul United States
Javier Cabrera United States
André Ricardo Backes Brazil
Hong Peng China
Muhammad Iqbal New Zealand
Xiao Zheng China
De-Shuang Huang China
Zhenyu Wu China
David López-Paz Germany View profile →
Citations per field, relative to Jarkko Venna
Jarkko Venna · 1×
Citations per year, relative to Jarkko Venna
Jarkko Venna · 1×

Countries citing papers authored by Jarkko Venna

Since Specialization
Citations

This map shows the geographic impact of Jarkko Venna'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 Jarkko Venna with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Jarkko Venna more than expected).

Fields of papers citing papers by Jarkko Venna

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Jarkko Venna. 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 Jarkko Venna. The network helps show where Jarkko Venna may publish in the future.

Co-authorship network of co-authors of Jarkko Venna

This figure shows the co-authorship network connecting the top 25 collaborators of Jarkko Venna. A scholar is included among the top collaborators of Jarkko Venna 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 Jarkko Venna. Jarkko Venna is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

17 of 17 papers shown
# Work Indexed citations
1 2
2
Information Retrieval Perspective to Nonlinear Dimensionality Reduction for Data Visualization
185
3 4
4 31
5
Nonlinear Dimensionality Reduction as Information Retrieval
36
6
Dimensionality reduction for visual exploration of similarity structures
40
7 23
8 147
9 31
10
Visualized Atlas of a Gene Expression Databank
1
11
Local Multidimensional Scaling with Controlled Tradeoff Between Trustworthiness and Continuity
19
12 97
13 22
14
Visualizing High-Dimensional Posterior Distributions in Bayesian Modeling
2
15 122
16
Coloring that Reveals Cluster Structures in Multivariate Data
34
17
Automatic Coloring of Data According to Its Cluster Structure
2

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.

Explore authors with similar magnitude of impact

Rankless by CCL
2026