Esa Ollila

3.1k total citations · 1 hit paper
93 papers, 1.8k citations indexed

About

Esa Ollila is a scholar working on Signal Processing, Statistics and Probability and Artificial Intelligence. According to data from OpenAlex, Esa Ollila has authored 93 papers receiving a total of 1.8k indexed citations (citations by other indexed papers that have themselves been cited), including 52 papers in Signal Processing, 32 papers in Statistics and Probability and 21 papers in Artificial Intelligence. Recurrent topics in Esa Ollila's work include Blind Source Separation Techniques (30 papers), Direction-of-Arrival Estimation Techniques (28 papers) and Advanced Statistical Methods and Models (27 papers). Esa Ollila is often cited by papers focused on Blind Source Separation Techniques (30 papers), Direction-of-Arrival Estimation Techniques (28 papers) and Advanced Statistical Methods and Models (27 papers). Esa Ollila collaborates with scholars based in Finland, United States and France. Esa Ollila's co-authors include Visa Koivunen, David E. Tyler, H. Vincent Poor, Hannu Oja, Jan Eriksson, Sergiy A. Vorobyov, Klaus Nordhausen, Hyon‐Jung Kim, V. Koivunen and Christophe Croux and has published in prestigious journals such as Journal of the American Statistical Association, NeuroImage and IEEE Transactions on Geoscience and Remote Sensing.

In The Last Decade

Esa Ollila

86 papers receiving 1.7k citations

Hit Papers

Complex Elliptically Symm... 2012 2026 2016 2021 2012 50 100 150 200 250

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Esa Ollila Finland 23 872 456 421 347 282 93 1.8k
Frédéric Pascal France 22 493 0.6× 911 2.0× 268 0.6× 287 0.8× 575 2.0× 91 2.0k
Erçan E. Kuruoğlu Italy 21 387 0.4× 277 0.6× 105 0.2× 485 1.4× 262 0.9× 149 1.9k
Philippe Forster France 19 754 0.9× 749 1.6× 146 0.3× 210 0.6× 201 0.7× 83 1.4k
Peter J. Schreier Germany 19 1.0k 1.2× 338 0.7× 119 0.3× 430 1.2× 491 1.7× 105 2.4k
Antonio Napolitano Italy 20 914 1.0× 349 0.8× 67 0.2× 303 0.9× 250 0.9× 98 1.9k
Yngve Selén Sweden 18 629 0.7× 496 1.1× 104 0.2× 274 0.8× 352 1.2× 38 2.4k
Philippe Loubaton France 26 1.7k 2.0× 208 0.5× 252 0.6× 382 1.1× 627 2.2× 99 2.6k
Javier Vía Spain 20 738 0.8× 320 0.7× 48 0.1× 305 0.9× 376 1.3× 106 1.6k
Cédric Demeure France 3 462 0.5× 326 0.7× 76 0.2× 259 0.7× 196 0.7× 4 1.4k
Nikolaos Galatsanos Greece 20 302 0.3× 193 0.4× 63 0.1× 496 1.4× 290 1.0× 53 2.0k

Countries citing papers authored by Esa Ollila

Since Specialization
Citations

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

Fields of papers citing papers by Esa Ollila

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Esa Ollila

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

All Works

20 of 20 papers shown
1.
Ollila, Esa, et al.. (2025). Activity Detection for Massive Random Access Using Covariance-Based Matching Pursuit. IEEE Transactions on Vehicular Technology. 74(11). 17292–17303.
2.
Vorobyov, Sergiy A., et al.. (2025). Robust Hybrid Beamforming for Integrated Sensing and Communications via Learned Optimization. Aaltodoc (Aalto University). 1–5.
3.
Mecklenbräuker, Christoph F., Peter Gerstoft, Esa Ollila, & Yongsung Park. (2024). Robust and sparse M-estimation of DOA. Signal Processing. 220. 109461–109461. 10 indexed citations
4.
Ollila, Esa, et al.. (2024). Graph Convolutional Neural Networks Sensitivity Under Probabilistic Error Model. IEEE Transactions on Signal and Information Processing over Networks. 10. 788–803. 1 indexed citations
5.
Ginolhac, Guillaume, et al.. (2023). New Robust Sparse Convolutional Coding Inversion Algorithm for Ground Penetrating Radar Images. IEEE Transactions on Geoscience and Remote Sensing. 61. 1–14. 6 indexed citations
6.
Miettinen, J.K., et al.. (2021). Graph Signal Processing Meets Blind Source Separation. IEEE Transactions on Signal Processing. 69. 2585–2599. 18 indexed citations
7.
Ollila, Esa, et al.. (2021). On the variability of the sample covariance matrix under complex elliptical distributions. arXiv (Cornell University). 3 indexed citations
8.
Pascal, Frédéric, Esa Ollila, & Daniel P. Palomar. (2021). Improved estimation of the degree of freedom parameter of multivariate $t$-distribution. 2021 29th European Signal Processing Conference (EUSIPCO). 860–864. 3 indexed citations
9.
Ollila, Esa, et al.. (2020). Data-Adaptive Similarity Measures for B-mode Ultrasound Images Using Robust Noise Models. IEEE Journal of Selected Topics in Signal Processing. 14(6). 1244–1254. 1 indexed citations
10.
Miettinen, J.K., Sergiy A. Vorobyov, & Esa Ollila. (2018). Graph Error Effect in Graph Signal Processing. 4164–4168. 7 indexed citations
11.
Nordhausen, Klaus, Hannu Oja, & Esa Ollila. (2016). Robust Independent Component Analysis Based on Two Scatter Matrices. Austrian Journal of Statistics. 37(1). 9 indexed citations
12.
Kim, Hyon‐Jung, Esa Ollila, & Visa Koivunen. (2013). Sparse regularization of tensor decompositions. 3836–3840. 7 indexed citations
13.
Remes, Jukka, Ahmed Abou Elseoud, Esa Ollila, et al.. (2013). On applicability of PCA, voxel-wise variance normalization and dimensionality assumptions for sliding temporal window sICA in resting-state fMRI. Magnetic Resonance Imaging. 31(8). 1338–1348. 2 indexed citations
14.
Nordhausen, Klaus, Hannu Oja, & Esa Ollila. (2011). Multivariate Models and the First Four Moments. 267–287. 14 indexed citations
15.
Eriksson, Jan, Esa Ollila, & Visa Koivunen. (2009). Statistics for complex random variables revisited. 3565–3568. 25 indexed citations
16.
Taskinen, Sara, Christophe Croux, Annaliisa Kankainen, Esa Ollila, & Hannu Oja. (2005). Influence functions and efficiencies of the canonical correlation and vector estimates based on scatter and shape matrices. Journal of Multivariate Analysis. 97(2). 359–384. 37 indexed citations
17.
Ollila, Esa, Christophe Croux, & Hannu Oja. (2004). INFLUENCE FUNCTION AND ASYMPTOTIC EFFICIENCY OF THE AFFINE EQUIVARIANT RANK COVARIANCE MATRIX. Statistica Sinica. 14(1). 297–316. 9 indexed citations
18.
Ollila, Esa & Visa Koivunen. (2004). Robust antenna array processing using M-estimators of pseudo-covariance. 2659–2663. 52 indexed citations
19.
Ollila, Esa & Visa Koivunen. (2003). Influence functions for array covariance matrix estimators. 11 indexed citations
20.
Ollila, Esa, Hannu Oja, & Christophe Croux. (2003). The affine equivariant sign covariance matrix: asymptotic behavior and efficiencies. Journal of Multivariate Analysis. 87(2). 328–355. 18 indexed citations

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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