Anja Volk

1.3k total citations
69 papers, 640 citations indexed

About

Anja Volk is a scholar working on Signal Processing, Computer Vision and Pattern Recognition and Cognitive Neuroscience. According to data from OpenAlex, Anja Volk has authored 69 papers receiving a total of 640 indexed citations (citations by other indexed papers that have themselves been cited), including 58 papers in Signal Processing, 50 papers in Computer Vision and Pattern Recognition and 24 papers in Cognitive Neuroscience. Recurrent topics in Anja Volk's work include Music and Audio Processing (58 papers), Music Technology and Sound Studies (49 papers) and Neuroscience and Music Perception (24 papers). Anja Volk is often cited by papers focused on Music and Audio Processing (58 papers), Music Technology and Sound Studies (49 papers) and Neuroscience and Music Perception (24 papers). Anja Volk collaborates with scholars based in Netherlands, United Kingdom and United States. Anja Volk's co-authors include P. van Kranenburg, Frans Wiering, Geoffroy Peeters, Julián Urbano, Arthur Flexer, Wolfgang Haas, Remco C. Veltkamp, John Burgoyne, Meinard Müller and David Meredith and has published in prestigious journals such as SHILAP Revista de lepidopterología, Neural Computing and Applications and Lecture notes in computer science.

In The Last Decade

Anja Volk

64 papers receiving 580 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Anja Volk Netherlands	14	512	436	297	138	57	69	640
André Holzapfel Spain	16	615 1.2×	506 1.2×	272 0.9×	119 0.9×	85 1.5×	67	806
Frans Wiering Netherlands	16	756 1.5×	640 1.5×	312 1.1×	122 0.9×	121 2.1×	69	898
Cory McKay Canada	14	605 1.2×	568 1.3×	232 0.8×	101 0.7×	111 1.9×	32	754
Emilios Cambouropoulos Greece	16	542 1.1×	465 1.1×	384 1.3×	81 0.6×	129 2.3×	53	722
Matthias Mauch United Kingdom	18	1.0k 2.0×	719 1.6×	286 1.0×	137 1.0×	237 4.2×	39	1.2k
Cyril Laurier Spain	8	424 0.8×	270 0.6×	183 0.6×	37 0.3×	109 1.9×	18	481
Micheline Lesaffre Belgium	16	320 0.6×	339 0.8×	361 1.2×	94 0.7×	30 0.5×	52	594
Matthew E. P. Davies Portugal	18	810 1.6×	703 1.6×	369 1.2×	101 0.7×	78 1.4×	64	977
Óscar Mayor Spain	8	324 0.6×	259 0.6×	132 0.4×	46 0.3×	44 0.8×	19	401
Nicola Orio Italy	14	469 0.9×	554 1.3×	222 0.7×	46 0.3×	176 3.1×	73	772

Countries citing papers authored by Anja Volk

Since Specialization

Citations

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

Fields of papers citing papers by Anja Volk

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Anja Volk

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

All Works

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20 of 20 papers shown

Müller, Meinard, et al.. (2024). Introducing the TISMIR Education Track: What, Why, How?. SHILAP Revista de lepidopterología. 7(1). 85–98.

Agres, Kat, Rebecca Schaefer, Anja Volk, et al.. (2021). Music, Computing, and Health: A Roadmap for the Current and Future Roles of Music Technology for Health Care and Well-Being. Music & Science. 4. 42 indexed citations

Haas, Wolfgang, et al.. (2019). Annotator subjectivity in harmony annotations of popular music. Journal of New Music Research. 48(3). 232–252. 26 indexed citations

Ren, Yanzhen, et al.. (2018). Feature analysis of repeated patterns in Dutch folk songs using Principal Component Analysis. Utrecht University Repository (Utrecht University). 2 indexed citations

Volk, Anja, et al.. (2018). Analysis by classification: A comparative study of annotated and algorithmically extracted patterns in symbolic music data. Utrecht University Repository (Utrecht University). 539–546. 1 indexed citations

Volk, Anja, et al.. (2017). Rhythmic Patterns in Ragtime and Jazz. Utrecht University Repository (Utrecht University). 1 indexed citations

Haas, Wolfgang, et al.. (2017). Harmonic Subjectivity in Popular Music. Data Archiving and Networked Services (DANS). 1 indexed citations

Volk, Anja, et al.. (2017). In Search Of The Consensus Among Musical Pattern Discovery Algorithms.. Zenodo (CERN European Organization for Nuclear Research). 671–678. 3 indexed citations

Kranenburg, P. van, et al.. (2016). The Meertens Tune Collections: The Annotated Corpus (MTC-ANN) Versions 1.1 and 2.0.1. Data Archiving and Networked Services (DANS). 11 indexed citations

10.

Volk, Anja, et al.. (2016). Music Similarity: Concepts, Cognition and Computation. Journal of New Music Research. 45(3). 207–209. 6 indexed citations

11.

Volk, Anja, et al.. (2015). Selective Acquisition Techniques for Enculturation-Based Melodic Phrase Segmentation. International Symposium/Conference on Music Information Retrieval. 218–224. 2 indexed citations

12.

Burgoyne, John, et al.. (2014). Strengthening Interdisciplinarity in MIR: Four Examples of Using MIR Tools for Musicology. UvA-DARE (University of Amsterdam). 1 indexed citations

13.

Kranenburg, P. van, et al.. (2013). Proceedings of the Third International Workshop on Folk Music Analysis. Data Archiving and Networked Services (DANS). 3 indexed citations

14.

Volk, Anja, Frans Wiering, & P. van Kranenburg. (2011). Unfolding the potential of computational musicology. KNAW Research Portal (The Royal Netherlands Academy of Arts and Sciences). 137–144. 16 indexed citations

15.

Wiering, Frans, et al.. (2009). Modelling Folksong Melodies. Interdisciplinary Science Reviews. 34(2-3). 154–171. 9 indexed citations

16.

Volk, Anja, et al.. (2008). The Study of Melodic Similarity using Manual Annotation and Melody Feature Sets. 3 indexed citations

17.

Volk, Anja, et al.. (2007). Applying Rhythmic Similarity Based on Innner Metric Analysis to Folksong Research. KNAW Research Portal (The Royal Netherlands Academy of Arts and Sciences). 293–296. 11 indexed citations

18.

Kranenburg, P. van, et al.. (2007). Towards Integration of MIR and Folk Song Research. KNAW research portal (Royal Academy of Art and Sciences (KNAW)). 218. 505–508. 11 indexed citations

19.

Kranenburg, P. van, et al.. (2007). USING PITCH STABILITY AMONG A GROUP OF ALIGNED QUERY MELODIES TO RETRIEVE UNIDENTIFIED VARIANT MELODIES. International Symposium/Conference on Music Information Retrieval. 451–456. 6 indexed citations

20.

Volk, Anja. (2005). MODELING A PROCESSIVE PERSPECTIVE ON METER IN MUSIC. The Journal of the Abraham Lincoln Association. 2005. 3 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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