Cyril Joder

415 total citations
10 papers, 183 citations indexed

About

Cyril Joder is a scholar working on Signal Processing, Computer Vision and Pattern Recognition and Artificial Intelligence. According to data from OpenAlex, Cyril Joder has authored 10 papers receiving a total of 183 indexed citations (citations by other indexed papers that have themselves been cited), including 10 papers in Signal Processing, 5 papers in Computer Vision and Pattern Recognition and 2 papers in Artificial Intelligence. Recurrent topics in Cyril Joder's work include Speech and Audio Processing (9 papers), Music and Audio Processing (9 papers) and Music Technology and Sound Studies (5 papers). Cyril Joder is often cited by papers focused on Speech and Audio Processing (9 papers), Music and Audio Processing (9 papers) and Music Technology and Sound Studies (5 papers). Cyril Joder collaborates with scholars based in Germany and France. Cyril Joder's co-authors include Slim Essid, Gaël Richard, Björn W. Schuller, Gaël Richard, Felix Weninger and Martin Wöllmer and has published in prestigious journals such as IEEE Transactions on Audio Speech and Language Processing, OPUS (Augsburg University) and mediaTUM – the media and publications repository of the Technical University Munich (Technical University Munich).

In The Last Decade

Cyril Joder

10 papers receiving 174 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Cyril Joder Germany	7	172	104	39	18	12	10	183
Eduardo Fonseca Spain	5	138 0.8×	62 0.6×	42 1.1×	17 0.9×	7 0.6×	7	152
Xavier Favory Spain	3	115 0.7×	59 0.6×	32 0.8×	17 0.9×	7 0.6×	4	123
Tetsuro Kitahara Japan	10	290 1.7×	200 1.9×	62 1.6×	40 2.2×	10 0.8×	34	304
Sebastian Streich Spain	7	235 1.4×	190 1.8×	19 0.5×	33 1.8×	6 0.5×	12	242
Olivier Gillet France	9	208 1.2×	155 1.5×	34 0.9×	24 1.3×	16 1.3×	11	236
Aleksandr Diment Finland	7	170 1.0×	60 0.6×	67 1.7×	20 1.1×	6 0.5×	11	196
Emiru Tsunoo United States	9	204 1.2×	79 0.8×	149 3.8×	11 0.6×	9 0.8×	36	271
Arvindh Krishnaswamy United States	8	163 0.9×	45 0.4×	103 2.6×	27 1.5×	25 2.1×	13	184
Giorgio Zoia Switzerland	5	261 1.5×	209 2.0×	37 0.9×	51 2.8×	5 0.4×	22	290
Stylianos Ioannis Mimilakis Germany	6	101 0.6×	41 0.4×	28 0.7×	11 0.6×	13 1.1×	12	121

Countries citing papers authored by Cyril Joder

Since Specialization

Citations

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

Fields of papers citing papers by Cyril Joder

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Cyril Joder

This figure shows the co-authorship network connecting the top 25 collaborators of Cyril Joder. A scholar is included among the top collaborators of Cyril Joder 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 Cyril Joder. Cyril Joder is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

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10 of 10 papers shown

Joder, Cyril & Björn W. Schuller. (2013). Off-line refinement of audio-to-score alignment by observation template adaptation. OPUS (Augsburg University). 206–210. 6 indexed citations

Joder, Cyril, et al.. (2013). Integrating noise estimation and factorization-based speech separation: A novel hybrid approach. OPUS (Augsburg University). 14. 131–135. 6 indexed citations

Joder, Cyril, Slim Essid, & Gaël Richard. (2013). Learning Optimal Features for Polyphonic Audio-to-Score Alignment. IEEE Transactions on Audio Speech and Language Processing. 21(10). 2118–2128. 14 indexed citations

Joder, Cyril, et al.. (2013). A comparative study on sparsity penalties for NMF-based speech separation: Beyond LP-norms. OPUS (Augsburg University). 5. 858–862. 10 indexed citations

Joder, Cyril & Björn W. Schuller. (2012). Exploring Nonnegative Matrix Factorization for Audio Classification: Application to Speaker Recognition. 1–4. 13 indexed citations

Joder, Cyril & Björn W. Schuller. (2012). Score-Informed Leading Voice Separation From Monaural Audio.. mediaTUM – the media and publications repository of the Technical University Munich (Technical University Munich). 277–282. 9 indexed citations

Joder, Cyril, et al.. (2012). The TUM Cumulative DTW Approach for the Mediaeval 2012 Spoken Web Search Task. mediaTUM – the media and publications repository of the Technical University Munich (Technical University Munich). 7 indexed citations

Joder, Cyril, Slim Essid, & Gaël Richard. (2011). A Conditional Random Field Framework for Robust and Scalable Audio-to-Score Matching. IEEE Transactions on Audio Speech and Language Processing. 19(8). 2385–2397. 39 indexed citations

Joder, Cyril, Slim Essid, & Gaël Richard. (2010). A conditional random field viewpoint of symbolic audio-to-score matching. SPIRE - Sciences Po Institutional REpository. 871–874. 5 indexed citations

10.

Joder, Cyril, Slim Essid, & Gaël Richard. (2009). Temporal Integration for Audio Classification With Application to Musical Instrument Classification. IEEE Transactions on Audio Speech and Language Processing. 17(1). 174–186. 74 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.

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