Joonas Nikunen

798 total citations · 1 hit paper
16 papers, 528 citations indexed

About

Joonas Nikunen is a scholar working on Signal Processing, Computational Mechanics and Cognitive Neuroscience. According to data from OpenAlex, Joonas Nikunen has authored 16 papers receiving a total of 528 indexed citations (citations by other indexed papers that have themselves been cited), including 16 papers in Signal Processing, 14 papers in Computational Mechanics and 3 papers in Cognitive Neuroscience. Recurrent topics in Joonas Nikunen's work include Speech and Audio Processing (16 papers), Advanced Adaptive Filtering Techniques (14 papers) and Blind Source Separation Techniques (6 papers). Joonas Nikunen is often cited by papers focused on Speech and Audio Processing (16 papers), Advanced Adaptive Filtering Techniques (14 papers) and Blind Source Separation Techniques (6 papers). Joonas Nikunen collaborates with scholars based in Finland, Spain and Denmark. Joonas Nikunen's co-authors include Tuomas Virtanen, Archontis Politis, Sharath Adavanne, Pasi Pertilä, Julio J. Carabias-Orti, P. Vera‐Candeas and Aleksandr Diment and has published in prestigious journals such as IEEE Journal of Selected Topics in Signal Processing, Speech Communication and IEEE/ACM Transactions on Audio Speech and Language Processing.

In The Last Decade

Joonas Nikunen

16 papers receiving 505 citations

Hit Papers

align trajectories

What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

Sound Event Localization and Detection of Overlapping Sources Using Convolutional Recurrent Neural Networks

2018 328 citations Sharath Adavanne, Archontis Politis et al. IEEE Journal of Selected Topics in Signal Processing profile →

Peers

Joonas Nikunen

SP

CM

AI

CN

CVPR

Romain Serizel France

Alexandre Guérin France

Antoine Deleforge France

Yuki Mitsufuji Japan

Axel Plinge Germany

Ngoc Q. K. Duong France

Nicoleta Roman United States

Luiz W. P. Biscainho Brazil

Srđan Kitić France

Liming Shi China

Romain Serizel France

Joonas Nikunen

548 ×1.1

SP

181 ×1.3

CM

207 ×2.0

AI

94 ×1.1

CN

106 ×1.3

CVPR

Citations per year, relative to Joonas Nikunen Joonas Nikunen (= 1×) peers Romain Serizel

Countries citing papers authored by Joonas Nikunen

Since Specialization

Citations

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

Fields of papers citing papers by Joonas Nikunen

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Joonas Nikunen

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

All Works

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16 of 16 papers shown

1.

Carabias-Orti, Julio J., et al.. (2018). Multi-Source Localization Using a DOA Kernel Based Spatial Covariance Model and Complex Nonnegative Matrix Factorization. 126. 440–444. 3 indexed citations

2.

Carabias-Orti, Julio J., Joonas Nikunen, Tuomas Virtanen, & P. Vera‐Candeas. (2018). Multichannel Blind Sound Source Separation Using Spatial Covariance Model With Level and Time Differences and Nonnegative Matrix Factorization. IEEE/ACM Transactions on Audio Speech and Language Processing. 26(9). 1512–1527. 20 indexed citations

3.

Nikunen, Joonas, et al.. (2018). Deep Neural Network Based Speech Separation Optimizing an Objective Estimator of Intelligibility for Low Latency Applications. 386–390. 8 indexed citations

4.

Nikunen, Joonas & Archontis Politis. (2018). Multichannel NMF for Source Separation with Ambisonic Signals. 60. 251–255. 11 indexed citations

5.

Adavanne, Sharath, Archontis Politis, Joonas Nikunen, & Tuomas Virtanen. (2018). Sound Event Localization and Detection of Overlapping Sources Using Convolutional Recurrent Neural Networks. IEEE Journal of Selected Topics in Signal Processing. 13(1). 34–48. 328 indexed citations breakdown →

6.

Nikunen, Joonas & Tuomas Virtanen. (2017). Time-difference of arrival model for spherical microphone arrays and application to direction of arrival estimation. 1255–1259. 3 indexed citations

7.

Nikunen, Joonas, et al.. (2015). Binaural rendering of microphone array captures based on source separation. Speech Communication. 76. 157–169. 3 indexed citations

8.

Pertilä, Pasi & Joonas Nikunen. (2015). Distant speech separation using predicted time–frequency masks from spatial features. Speech Communication. 68. 97–106. 24 indexed citations

9.

Nikunen, Joonas & Tuomas Virtanen. (2014). Direction of Arrival Based Spatial Covariance Model for Blind Sound Source Separation. IEEE/ACM Transactions on Audio Speech and Language Processing. 22(3). 727–739. 69 indexed citations

10.

Pertilä, Pasi & Joonas Nikunen. (2014). Microphone array post-filtering using supervised machine learning for speech enhancement. 2675–2679. 11 indexed citations

11.

Nikunen, Joonas & Tuomas Virtanen. (2014). Multichannel audio separation by direction of arrival based spatial covariance model and non-negative matrix factorization. 59. 6677–6681. 18 indexed citations

12.

Nikunen, Joonas, et al.. (2012). Multichannel Audio Upmixing by Time-Frequency Filtering Using Non-Negative Tensor Factorization. Journal of the Audio Engineering Society. 60(10). 794–806. 3 indexed citations

13.

Nikunen, Joonas, et al.. (2012). Permutation Alignment Of Frequency-Domain Ica By Maximization Of Intra-Source Envelope Correlations. Zenodo (CERN European Organization for Nuclear Research). 1489–1493. 2 indexed citations

14.

Nikunen, Joonas, et al.. (2011). Multichannel audio upmixing based on non-negative tensor factorization representation. 48. 33–36. 8 indexed citations

15.

Nikunen, Joonas & Tuomas Virtanen. (2010). Object-Based Audio Coding Using Non-Negative Matrix Factorization for the Spectrogram Representation. Journal of the Audio Engineering Society. 10 indexed citations

16.

Nikunen, Joonas & Tuomas Virtanen. (2010). Noise-to-mask ratio minimization by weighted non-negative matrix factorization. 48. 25–28. 7 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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