Nicolas Wack

880 citations
20 papers · 536 indexed · h-index 10

Nicolas Wack

20 papers receiving 477 citations

Peers

Nicolas Wack
Comparison fields: 5 of 58
  • Signal Processing 477
  • Computer Vision and Pattern Recognition 373
  • Developmental Biology 29
  • Music 41
  • Cognitive Neuroscience 116
Replace Sankalp Gulati with:
Sankalp Gulati Spain
Frederic Font Spain
Óscar Mayor Spain
José R. Zapata Spain
Cyril Laurier Spain
Erling Wold United States
Tim Pohle Austria
Adam Berenzweig United States
Andreas F. Ehmann United States
Ju-Chiang Wang Taiwan
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Citations per field
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Citations per year

Countries citing papers authored by Nicolas Wack

Since Specialization
Citations

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

Fields of papers citing papers by Nicolas Wack

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network

The 23 scholars most cited alongside Nicolas Wack, 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 Nicolas Wack Line = papers co-authored together Nicolas Wack links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown
#Work
1 20225
2
ESSENTIA: an open source library for audio analysis
20145
3 2013160
4 2013111
5 201145
6
Music classification using high-level models
20102
7
Hybrid Music Similarity Measure
20101
8
HYBRID SIMILARITY MEASURES FOR MUSIC RECOMMENDATION
20092
9
MUSIC TYPE GROUPERS (MTG): GENERIC MUSIC CLASSIFICATION ALGORITHMS
20094
10 200917
11
ISMIR 2004 Audio Description Contest
200648
12
A Comparative Study of Dimensionality Reduction Methods: The Case of Music Similarity
20061
13
Nearest-Neighbor Automatic Sound Classification with a WordNet Taxonomy
20051
14 200533
15 20059
16 200554
17
Knowledge and Content-Based Audio Retrieval Using Wordnet.
20044
18
Nearest-neighbor Generic Sound Classification with a WordNet-based Taxonomy
200419
19
An open source tool for semi-automatic rhythmic annotation
20049
20 20046

About Nicolas Wack

Nicolas Wack is a scholar working on Signal Processing, Music, Computer Vision and Pattern Recognition, Artificial Intelligence and Sensory Systems, having authored 20 papers that have together received 536 indexed citations. Recurring topics across this work include Music and Audio Processing (19 papers), Music Technology and Sound Studies (12 papers), Speech and Audio Processing (10 papers), Diverse Musicological Studies (5 papers), Speech Recognition and Synthesis (5 papers), Neuroscience and Music Perception (2 papers), Hearing Loss and Rehabilitation (1 paper) and Noise Effects and Management (1 paper). The work is most often cited by research in Signal Processing (477 citations), Computer Vision and Pattern Recognition (373 citations), Developmental Biology (29 citations), Music (41 citations) and Cognitive Neuroscience (116 citations). Nicolas Wack has collaborated with scholars based in Spain, Netherlands and Germany. Frequent co-authors include Perfecto Herrera, Xavier Serra, Dmitry Bogdanov, Pedro Cano, Markus Koppenberger, Emília Gómez, Justin Salamon, José R. Zapata, Gerard Roma and Óscar Mayor. Their work appears in journals such as Journal of Intelligent Information Systems, IEEE Transactions on Multimedia, American Journal of Audiology, Journal of the Audio Engineering Society and Repositori digital de la UPF (Universitat Pompeu Fabra).

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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