Morten Kolbæk

1.9k total citations · 2 hit papers
7 papers, 1.2k citations indexed

About

Morten Kolbæk is a scholar working on Signal Processing, Artificial Intelligence and Cognitive Neuroscience. According to data from OpenAlex, Morten Kolbæk has authored 7 papers receiving a total of 1.2k indexed citations (citations by other indexed papers that have themselves been cited), including 7 papers in Signal Processing, 5 papers in Artificial Intelligence and 2 papers in Cognitive Neuroscience. Recurrent topics in Morten Kolbæk's work include Speech and Audio Processing (7 papers), Speech Recognition and Synthesis (5 papers) and Music and Audio Processing (5 papers). Morten Kolbæk is often cited by papers focused on Speech and Audio Processing (7 papers), Speech Recognition and Synthesis (5 papers) and Music and Audio Processing (5 papers). Morten Kolbæk collaborates with scholars based in Denmark and United States. Morten Kolbæk's co-authors include Jesper Jensen, Zheng‐Hua Tan, Dong Yu and Søren Holdt Jensen and has published in prestigious journals such as IEEE/ACM Transactions on Audio Speech and Language Processing, arXiv (Cornell University) and VBN Forskningsportal (Aalborg Universitet).

In The Last Decade

Morten Kolbæk

7 papers receiving 1.1k citations

Hit Papers

Permutation invariant training of deep models for speaker... 2017 2026 2020 2023 2017 2017 100 200 300 400 500

Peers

Morten Kolbæk
Comparison fields: 5 of 51
  • Signal Processing 1.1k
  • Artificial Intelligence 797
  • Computational Mechanics 179
  • Cognitive Neuroscience 114
  • Computer Vision and Pattern Recognition 64
Replace Armin Sehr with:
Armin Sehr Germany
Yihui Fu China
Roland Maas Germany
Shubo Lv China
Lianwu Chen China
Yuki Mitsufuji Japan
Marco Matassoni Italy
Volker Leutnant Germany
Shinji Takaki Japan
Mengtao Xing China
Armin Sehr Germany View profile →
Citations per field, relative to Morten Kolbæk
Morten Kolbæk · 1×
Citations per year, relative to Morten Kolbæk
Morten Kolbæk · 1×

Countries citing papers authored by Morten Kolbæk

Since Specialization
Citations

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

Fields of papers citing papers by Morten Kolbæk

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Morten Kolbæk

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

All Works

7 of 7 papers shown
# Work Indexed citations
1 8
2 40
3 16
4
Multi-talker Speech Separation and Tracing with Permutation Invariant Training of Deep Recurrent Neural Networks.
9
5
Multitalker Speech Separation With Utterance-Level Permutation Invariant Training of Deep Recurrent Neural Networks breakdown →
533
6
Permutation invariant training of deep models for speaker-independent multi-talker speech separation breakdown →
541
7 14

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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2026