Jonathan Driedger

403 total citations
21 papers, 264 citations indexed

About

Jonathan Driedger is a scholar working on Signal Processing, Computer Vision and Pattern Recognition and Cognitive Neuroscience. According to data from OpenAlex, Jonathan Driedger has authored 21 papers receiving a total of 264 indexed citations (citations by other indexed papers that have themselves been cited), including 21 papers in Signal Processing, 12 papers in Computer Vision and Pattern Recognition and 4 papers in Cognitive Neuroscience. Recurrent topics in Jonathan Driedger's work include Music and Audio Processing (19 papers), Speech and Audio Processing (14 papers) and Music Technology and Sound Studies (12 papers). Jonathan Driedger is often cited by papers focused on Music and Audio Processing (19 papers), Speech and Audio Processing (14 papers) and Music Technology and Sound Studies (12 papers). Jonathan Driedger collaborates with scholars based in Germany, United Kingdom and Austria. Jonathan Driedger's co-authors include Meinard Müller, Sebastian Ewert, Sascha Disch, Michael Krause, Christian Dittmar, Jakob Abeßer, Frank Scherbaum, Wolfgang Haas, Jouni Paulus and Andreas Niedermeier and has published in prestigious journals such as Applied Sciences, IEEE Signal Processing Letters and Queen Mary Research Online (Queen Mary University of London).

In The Last Decade

Jonathan Driedger

21 papers receiving 246 citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Jonathan Driedger Germany 8 218 119 49 45 33 21 264
Prem Seetharaman United States 10 213 1.0× 120 1.0× 35 0.7× 97 2.2× 13 0.4× 24 299
Oliver Hellmuth Germany 9 259 1.2× 158 1.3× 60 1.2× 27 0.6× 45 1.4× 18 276
Kamil Adiloğlu Germany 11 215 1.0× 50 0.4× 142 2.9× 63 1.4× 47 1.4× 28 278
Axel Röbel France 10 192 0.9× 103 0.9× 50 1.0× 58 1.3× 27 0.8× 24 233
Christian Uhle Germany 9 308 1.4× 169 1.4× 90 1.8× 23 0.5× 50 1.5× 32 334
Eric Allamanche Germany 8 296 1.4× 246 2.1× 22 0.4× 45 1.0× 27 0.8× 12 325
Honglie Chen United Kingdom 4 273 1.3× 183 1.5× 47 1.0× 85 1.9× 5 0.2× 9 370
Takuya Nishimoto Japan 9 300 1.4× 196 1.6× 30 0.6× 99 2.2× 35 1.1× 60 381
Arvindh Krishnaswamy United States 8 163 0.7× 45 0.4× 27 0.6× 103 2.3× 25 0.8× 13 184
Estefanía Cano Germany 10 264 1.2× 132 1.1× 85 1.7× 50 1.1× 25 0.8× 34 318

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-authorship network of co-authors of Jonathan Driedger

This figure shows the co-authorship network connecting the top 25 collaborators of Jonathan Driedger. A scholar is included among the top collaborators of Jonathan Driedger based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Jonathan Driedger. Jonathan Driedger is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
1.
Müller, Meinard, et al.. (2021). Sync Toolbox: A Python Package for Efficient, Robust, and Accurate Music Synchronization. The Journal of Open Source Software. 6(64). 3434–3434. 15 indexed citations
2.
Driedger, Jonathan, et al.. (2021). Adaptive Pitch-Shifting with Applications to Intonation Adjustment in a Cappella Recordings. 121–128. 2 indexed citations
3.
Driedger, Jonathan, et al.. (2019). Towards Automatically Correcting Tapped Beat Annotations for Music Recordings. Zenodo (CERN European Organization for Nuclear Research). 200–207. 4 indexed citations
4.
Müller, Meinard, et al.. (2017). Interactive Fundamental Frequency Estimation with Applications to Ethnomusicological Research. 5 indexed citations
5.
Dittmar, Christian, et al.. (2016). Towards Modeling And Decomposing Loop-Based Electronic Music.. Publikationsdatenbank der Fraunhofer-Gesellschaft (Fraunhofer-Gesellschaft). 502–508. 3 indexed citations
6.
Driedger, Jonathan, et al.. (2016). Memory-restricted multiscale dynamic time warping. 569–573. 29 indexed citations
7.
Driedger, Jonathan & Meinard Müller. (2016). A Review of Time-Scale Modification of Music Signals. Applied Sciences. 6(2). 57–57. 37 indexed citations
8.
Driedger, Jonathan, et al.. (2016). Towards Evaluating Multiple Predominant Melody Annotations In Jazz Recordings.. Fraunhofer-Publica (Fraunhofer-Gesellschaft). 246–252. 5 indexed citations
9.
Driedger, Jonathan, et al.. (2016). Template-Based Vibrato Analysis In Complex Music Signals.. International Symposium/Conference on Music Information Retrieval. 239–245. 1 indexed citations
10.
Dittmar, Christian, Jonathan Driedger, Meinard Müller, & Jouni Paulus. (2016). An experimental approach to generalized Wiener filtering in music source separation. Fraunhofer-Publica (Fraunhofer-Gesellschaft). 1743–1747. 2 indexed citations
11.
Niedermeier, Andreas, et al.. (2016). Harmonic-percussive-residual sound separation using the structure tensor on spectrograms. Fraunhofer-Publica (Fraunhofer-Gesellschaft). 445–449. 7 indexed citations
12.
Driedger, Jonathan, et al.. (2016). Template-Based Vibrato Analysis in Music Signals. Queen Mary Research Online (Queen Mary University of London). 5 indexed citations
13.
Dittmar, Christian, Jonathan Driedger, & Meinard Müller. (2015). A separate and restore approach to score-informed music decomposition. 17. 1–5. 1 indexed citations
14.
Driedger, Jonathan & Meinard Müller. (2015). Extracting singing voice from music recordings by cascading audio decomposition techniques. 58. 126–130. 9 indexed citations
15.
Driedger, Jonathan, et al.. (2015). Let It Bee - Towards Nmf-Inspired Audio Mosaicing.. Zenodo (CERN European Organization for Nuclear Research). 350–356. 6 indexed citations
16.
Driedger, Jonathan, Meinard Müller, & Sascha Disch. (2014). Extending Harmonic-Percussive Separation Of Audio Signals.. Publikationsdatenbank der Fraunhofer-Gesellschaft (Fraunhofer-Gesellschaft). 611–616. 44 indexed citations
17.
Driedger, Jonathan, Meinard Müller, & Sebastian Ewert. (2014). Improving Time-Scale Modification of Music Signals Using Harmonic-Percussive Separation. IEEE Signal Processing Letters. 21(1). 105–109. 44 indexed citations
18.
Driedger, Jonathan & Meinard Müller. (2014). TSM TOOLBOX: MATLAB IMPLEMENTATIONS OF TIME-SCALE MODIFICATION ALGORITHMS. 249–256. 27 indexed citations
19.
Driedger, Jonathan, et al.. (2013). Score-informed audio decomposition and applications. Queen Mary Research Online (Queen Mary University of London). 541–544. 8 indexed citations
20.
Müller, Meinard, et al.. (2012). A Cross-Version Approach For Stabilizing Tempo-Based Novelty Detection.. MPG.PuRe (Max Planck Society). 427–432. 4 indexed citations

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.

Explore authors with similar magnitude of impact

Breakdown of academic impact, for papers by Prem Seetharaman Breakdown of academic impact, for papers by Oliver Hellmuth Breakdown of academic impact, for papers by Kamil Adiloğlu Breakdown of academic impact, for papers by Axel Röbel Breakdown of academic impact, for papers by Christian Uhle Breakdown of academic impact, for papers by Eric Allamanche Breakdown of academic impact, for papers by Honglie Chen Breakdown of academic impact, for papers by Takuya Nishimoto Breakdown of academic impact, for papers by Arvindh Krishnaswamy Breakdown of academic impact, for papers by Estefanía Cano
Rankless by CCL
2026