Thomas Lidy

892 citations
24 papers · 509 · h-index 10

Impact in

Papers in

    • Music Technology and Sound Studies 18
    • Generative Adversarial Networks and Image Synthesis 2
    • Face and Expression Recognition 1
    • Music and Audio Processing 20
    • Speech and Audio Processing 15
    • Time Series Analysis and Forecasting 2

Thomas Lidy

24 papers receiving 466 citations

Peers

Thomas Lidy
Comparison fields: 5 of 71
  • Signal Processing 376
  • Computer Vision and Pattern Recognition 373
  • Music 39
  • Human-Computer Interaction 33
  • Developmental Biology 12
Replace Michael Gygli with:
Michael Gygli Switzerland
Roman Jarina Slovakia
Ryuichi Oka Japan
Gerard Roma United Kingdom
Zekeriya TÜFEKCİ Türkiye
Frederic Font Spain
John Chowning United States
Alexandre R. J. François United States
Ju-Chiang Wang Taiwan
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Citations per field
00.5×9.8×
Michael Gygli · 1×
Citations per year

Countries citing papers authored by Thomas Lidy

Since Specialization
Citations

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

Fields of papers citing papers by Thomas Lidy

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Thomas Lidy, 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 Thomas Lidy Line = papers co-authored together Thomas Lidy links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 24 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2005143
2 201672
3 200371
4 200754
5 200935
6
Automatic Audio Segmentation: Segment Boundary and Structure Detection in Popular Music
200825
7
Comparing Shallow versus Deep Neural Network Architectures for Automatic Music Genre Classification.
201623
8
The Map of Mozart.
200612
9 200811
10 20109
11 20087
12 20187
13
SOUND RE-SYNTHESIS FROM RHYTHM PATTERN FEATURES - AUDIBLE INSIGHT INTO A MUSIC FEATURE EXTRACTION PROCESS
20056
14
A Multi-modal Deep Neural Network approach to Bird-song identification.
20174
15 20094
16 20084
17
Evaluation of New Audio Features and Their Utilization in Novel Music Retrieval Applications
20064
18 20063
19 20073
20 20063

About Thomas Lidy

Thomas Lidy is a scholar working on Computer Vision and Pattern Recognition, Signal Processing, Artificial Intelligence, Automotive Engineering and Museology, having authored 24 papers that have together received 509 indexed citations. Recurring topics across this work include Music and Audio Processing (20 papers), Music Technology and Sound Studies (18 papers), Speech and Audio Processing (15 papers), Neural Networks and Applications (3 papers), Time Series Analysis and Forecasting (2 papers), Generative Adversarial Networks and Image Synthesis (2 papers), Animal Vocal Communication and Behavior (1 paper) and Face and Expression Recognition (1 paper). The work is most often cited by research in Signal Processing (376 citations), Computer Vision and Pattern Recognition (373 citations), Music (39 citations), Human-Computer Interaction (33 citations) and Developmental Biology (12 citations). Thomas Lidy has collaborated with scholars based in Austria, Spain and Malaysia. Frequent co-authors include Andreas Rauber, Xavier Serra, Jordi Pons, Antonio Pertusa, José M. Iñesta, Hannes Kaufmann, Gerhard Reitmayr, Dieter Schmalstieg, Alexander Schindler and Rudolf Mayer. Their work appears in journals such as Multimedia Tools and Applications, Signal Processing, Zenodo (CERN European Organization for Nuclear Research), CLEF (Working Notes) and IEEE Transactions on Neural Networks.

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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