Cees Taal

28 papers receiving 3.0k citations

Cees Taal's Hit Papers

An Algorithm for Predicting the Intelligibility of Speech Masked by Modulated Noise Maskers 2016 · 397 citations
3970+5+10Years since publication50010001.5k

Peers

Cees Taal
Comparison fields: 5 of 63
  • Signal Processing 2.8k
  • Cognitive Neuroscience 1.1k
  • Computational Mechanics 1.3k
  • Artificial Intelligence 1.1k
  • Pharmacy 61
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Countries citing papers authored by Cees Taal

Since Specialization
Citations

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

Fields of papers citing papers by Cees Taal

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 19 scholars most cited alongside Cees Taal, 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 Cees Taal Line = papers co-authored together Cees Taal links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 29 papers — load more, or switch the sort, to bring in the rest.

#Work
1
An Algorithm for Intelligibility Prediction of Time–Frequency Weighted Noisy Speech
Hit paper breakdown →
20111571
2
A short-time objective intelligibility measure for time-frequency weighted noisy speech
Hit paper breakdown →
2010671
3
An Algorithm for Predicting the Intelligibility of Speech Masked by Modulated Noise Maskers
Hit paper breakdown →
2016397
4 201172
5 202169
6 201355
7 201341
8 202339
9 201234
10 201432
11 201528
12 200923
13 201621
14 201320
15 201218
16 20099
17
On Predicting the Difference in Intelligibility Before and After Single-Channel Noise Reduction
20108
18 20257
19 20196
20 20224

About Cees Taal

Cees Taal is a scholar working on Signal Processing, Cognitive Neuroscience, Control and Systems Engineering, Computational Mechanics and Biomedical Engineering, having authored 29 papers that have together received 3.1k indexed citations. Recurring topics across this work include Speech and Audio Processing (18 papers), Hearing Loss and Rehabilitation (18 papers), Advanced Adaptive Filtering Techniques (8 papers), Acoustic Wave Phenomena Research (7 papers), Machine Fault Diagnosis Techniques (6 papers), Risk and Safety Analysis (3 papers), Fault Detection and Control Systems (3 papers) and Oil and Gas Production Techniques (2 papers). The work is most often cited by research in Signal Processing (2.8k citations), Cognitive Neuroscience (1.1k citations), Computational Mechanics (1.3k citations), Artificial Intelligence (1.1k citations) and Pharmacy (61 citations). Cees Taal has collaborated with scholars based in Netherlands, Denmark and Sweden. Frequent co-authors include Jesper Jensen, Richard C. Hendriks, Richard Heusdens, Olga Fink, Qin Wang, Jesper Rindom Jensen, Arne Leijon, Mengjie Zhao, Ulrik Kjems and Jeroen J. Briaire. Their work appears in journals such as Mechanical Systems and Signal Processing, IEEE/ACM Transactions on Audio Speech and Language Processing, The Journal of the Acoustical Society of America, IEEE Transactions on Audio Speech and Language Processing and International Journal of Prognostics and Health Management.

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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