Wouter Tirry

414 citations
23 papers · 299 · h-index 13

Impact in

Papers in

Wouter Tirry

23 papers receiving 290 citations

Peers

Wouter Tirry
Comparison fields: 5 of 29
  • Signal Processing 279
  • Computational Mechanics 149
  • Cognitive Neuroscience 82
  • Artificial Intelligence 109
  • Computer Vision and Pattern Recognition 38
Replace Martin Krawczyk-Becker with:
Martin Krawczyk-Becker Germany
Magnus Schäfer Germany
Ivo Merks United States
Martin Krawczyk Germany
Renhua Peng China
Hamid Reza Abutalebi Iran
Jan Mark de Haan Denmark
Christophe Beaugeant Germany
Benjamin J. Shannon Australia
Volker Leutnant Germany
Wouter Tirry relative to Martin Krawczyk-Becker Germany Martin Krawczyk-Becker's profile →
Citations per field
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Citations per year

Countries citing papers authored by Wouter Tirry

Since Specialization
Citations

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

Fields of papers citing papers by Wouter Tirry

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 15 scholars most cited alongside Wouter Tirry, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Wouter Tirry Line = papers co-authored together Wouter Tirry links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 23 papers — load more, or switch the sort, to bring in the rest.

#Work
1 202034
2 202033
3 201729
4 202125
5 201920
6 201816
7 202015
8 201615
9 201714
10 201614
11 201813
12 201413
13 201612
14 201511
15 20217
16 20207
17
Acoustic Zooming by Multi-Microphone Sound Scene Manipulation
20135
18 20175
19 20233
20
On the relation between data-dependent beamforming and multichannel linear prediction for dereverberation
20163

About Wouter Tirry

Wouter Tirry is a scholar working on Signal Processing, Computational Mechanics, Artificial Intelligence, Cognitive Neuroscience and Computer Vision and Pattern Recognition, having authored 23 papers that have together received 299 indexed citations. Recurring topics across this work include Speech and Audio Processing (23 papers), Advanced Adaptive Filtering Techniques (12 papers), Speech Recognition and Synthesis (8 papers), Hearing Loss and Rehabilitation (7 papers), Acoustic Wave Phenomena Research (5 papers), Music and Audio Processing (4 papers), Advanced Data Compression Techniques (3 papers) and Direction-of-Arrival Estimation Techniques (2 papers). The work is most often cited by research in Signal Processing (279 citations), Computational Mechanics (149 citations), Cognitive Neuroscience (82 citations), Artificial Intelligence (109 citations) and Computer Vision and Pattern Recognition (38 citations). Wouter Tirry has collaborated with scholars based in Belgium, Germany and Israel. Frequent co-authors include Tim Fingscheidt, Nilesh Madhu, Ann Spriet, Marc Moonen, Toon van Waterschoot, Simon Doclo, Michael Bauer, Israel Cohen, D. Malah and Jari Sjöberg. Their work appears in journals such as IEEE/ACM Transactions on Audio Speech and Language Processing, Journal of the Audio Engineering Society, EURASIP Journal on Advances in Signal Processing, Lirias (KU Leuven) and 2021 29th European Signal Processing Conference (EUSIPCO).

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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