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Computer Science
Finland
2026

D-Index & Metrics

Computer Science

D-Index
71
Citations
70144
World Ranking
1718
National Ranking
9

Research.com Recognitions

  • 2026 - Research.com Computer Science in Finland Leader Award
  • 2025 - Research.com Computer Science in Finland Leader Award
  • 2023 - Research.com Computer Science in Finland Leader Award
  • 2022 - Research.com Computer Science in Finland Leader Award
  • 2019 - IEEE Frank Rosenblatt Award
  • 2012 - Member of Academia Europaea
  • 2006 - Neural Networks Pioneer Award, IEEE Computational Intelligence Society
  • 2000 - IEEE Fellow For contributions to the theory and applications of artificial neural networks.
  • 1994 - Fellow of the International Association for Pattern Recognition (IAPR) For contributions to pattern recognition and image processing and and service to the IAPR

Overview

Erkki Oja is affiliated with Aalto University in Finland. Their research spans topics primarily in genetics and plant sciences, with a focus on Advances in Cucurbitaceae Research.

The scientist has published work in various venues, including:

  • Nature Reviews Methods Primers
  • JURNAL AGRONOMI TANAMAN TROPIKA (JUATIKA)

Notable recent publications include:

  • Principal component analysis, 2022, Nature Reviews Methods Primers
  • Adaptation Test of Several Promising Varieties of Cucumber (Cucumis sativus L.) in Lowlands, 2024, JURNAL AGRONOMI TANAMAN TROPIKA (JUATIKA)

Frequent coauthors collaborating with Erkki Oja are:

  • Sri Suryanti
  • Hangger Gahara Mawandha

The research interests are reflected in their contributions to the field of genetics, specifically in plant adaptation and variety testing within the Cucurbitaceae family.

Erkki Oja has received several recognitions throughout their career, including:

  • IEEE Frank Rosenblatt Award (2019)
  • Member of Academia Europaea (2012)
  • Neural Networks Pioneer Award, IEEE Computational Intelligence Society (2006)
  • IEEE Fellow (2000) for contributions to the theory and applications of artificial neural networks
  • Fellow of the International Association for Pattern Recognition (IAPR) (1994) for contributions to pattern recognition and image processing and service to the IAPR

Best Publications

  • Independent component analysis: algorithms and applications

    A. Hyvärinen;E. Oja

  • Independent Component Analysis

    Aapo Hyvarinen;Juha Karhunen;Erkki Oja

  • Independent Component Analysis

    Unknown

  • A fast fixed-point algorithm for independent component analysis

    Aapo Hyvärinen;Erkki Oja

  • Simplified neuron model as a principal component analyzer

    Erkki Oja

  • A new curve detection method: randomized Hough transform (RHT)

    L. Xu;E. Oja;P. Kultanen

  • Engineering applications of the self-organizing map

    T. Kohonen;E. Oja;O. Simula;A. Visa

  • Subspace Methods of Pattern Recognition

    Erkki Oja;E. Oja

  • Original Contribution: Principal components, minor components, and linear neural networks

    Erkki Oja

  • NEURAL NETWORKS, PRINCIPAL COMPONENTS, AND SUBSPACES

    Erkki Oja

  • Independent component approach to the analysis of EEG and MEG recordings

    R. Vigario;J. Sarela;V. Jousmiki;M. Hamalainen

  • Rival penalized competitive learning for clustering analysis, RBF net, and curve detection

    L. Xu;A. Krzyzak;E. Oja

  • Randomized Hough transform (RHT): basic mechanisms, algorithms, and computational complexities

    Lei Xu;Erkki Oja

  • On stochastic approximation of the eigenvectors and eigenvalues of the expectation of a random matrix

    Erkki Oja;Juha Karhunen

  • A class of neural networks for independent component analysis

    J. Karhunen;E. Oja;L. Wang;R. Vigario

  • Efficient Variant of Algorithm FastICA for Independent Component Analysis Attaining the CramÉr-Rao Lower Bound

    Z. Koldovsky;P. Tichavsky;E. Oja

  • Kohonen Maps

    Samuel Kaski;Erkki Oja

  • Texture Discrimination with Multidimensional Distributions of Signed Gray Level Differences

    Timo Ojala;Kimmo Valkealahti;Erkki Oja;Matti Pietikäinen

  • Probabilistic and non-probabilistic Hough transforms: Overview and comparisons

    Heikki Kälviäinen;Petri Hirvonen;Lei Xu;Erkki Oja

  • Modified Hebbian learning for curve and surface fitting

    Lei Xu;Lei Xu;Erkki Oja;Ching Y. Suen

  • Clustering Properties of Hierarchical Self-Organizing Maps

    Jouko Lampinen;Erkki Oja

Frequent Co-Authors

Jorma Laaksonen
Jorma Laaksonen Aalto University
Juha Karhunen
Juha Karhunen Aalto University
Aapo Hyvärinen
Aapo Hyvärinen University of Helsinki
Włodzisław Duch
Włodzisław Duch Nicolaus Copernicus University
Sławomir Zadrożny
Sławomir Zadrożny Systems Research Institute
Amaury Lendasse
Amaury Lendasse University of Houston
Janusz Kacprzyk
Janusz Kacprzyk Systems Research Institute
Stefanos Kollias
Stefanos Kollias National Technical University of Athens
Samuel Kaski
Samuel Kaski Aalto University
Michel Verleysen
Michel Verleysen Université Catholique de Louvain

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