Jonathan Driedger

403 citations
21 papers · 264 · h-index 8

Impact in

Papers in

Journals
Applied Sciences (1 paper)IEEE Signal Processing Letters (1 paper)DROPS (Schloss Dagstuhl – Leibniz Center for Informatics) (1 paper)Zenodo (CERN European Organization for Nuclear Research) (2 papers)Fraunhofer-Publica (Fraunhofer-Gesellschaft) (3 papers)

In The Last Decade

Jonathan Driedger

21 papers receiving 246 citations

Peers

Jonathan Driedger
Comparison fields: 5 of 50
  • Signal Processing 218
  • Computer Vision and Pattern Recognition 119
  • Music 10
  • Developmental Biology 6
  • Cognitive Neuroscience 49
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Estefanía Cano Germany
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Cyril Joder France
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Oliver Hellmuth Germany
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Citations per field
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Citations per year

Countries citing papers authored by Jonathan Driedger

Since Specialization
Citations

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

Fields of papers citing papers by Jonathan Driedger

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 10 scholars most cited alongside Jonathan Driedger, 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 Jonathan Driedger Line = papers co-authored together Jonathan Driedger links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 21 papers — load more, or switch the sort, to bring in the rest.

#Work
1 201444
2 201444
3 201637
4 201629
5
TSM TOOLBOX: MATLAB IMPLEMENTATIONS OF TIME-SCALE MODIFICATION ALGORITHMS
201427
6 202115
7 20159
8 20138
9 20167
10 20156
11 20126
12 20165
13
Template-Based Vibrato Analysis in Music Signals
20165
14
Interactive Fundamental Frequency Estimation with Applications to Ethnomusicological Research
20175
15 20124
16 20194
17 20163
18 20212
19 20162
20 20161

About Jonathan Driedger

Jonathan Driedger is a scholar working on Signal Processing, Computer Vision and Pattern Recognition, Cognitive Neuroscience, Computational Mechanics and Artificial Intelligence, having authored 21 papers that have together received 264 indexed citations. Recurring topics across this work include Music and Audio Processing (19 papers), Speech and Audio Processing (14 papers), Music Technology and Sound Studies (12 papers), Blind Source Separation Techniques (5 papers), Neuroscience and Music Perception (4 papers), Advanced Adaptive Filtering Techniques (3 papers), Speech Recognition and Synthesis (2 papers) and Advanced Text Analysis Techniques (1 paper). The work is most often cited by research in Signal Processing (218 citations), Computer Vision and Pattern Recognition (119 citations), Music (10 citations), Developmental Biology (6 citations) and Cognitive Neuroscience (49 citations). Jonathan Driedger has collaborated with scholars based in Germany, United Kingdom and Austria. Frequent co-authors include Meinard Müller, Sebastian Ewert, Sascha Disch, Michael Krause, Christian Dittmar, Andreas Niedermeier, Jouni Paulus, Wolfgang Haas, Jakob Abeßer and Frank Scherbaum. Their work appears in journals such as Applied Sciences, IEEE Signal Processing Letters, DROPS (Schloss Dagstuhl – Leibniz Center for Informatics), Zenodo (CERN European Organization for Nuclear Research) and Fraunhofer-Publica (Fraunhofer-Gesellschaft).

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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