P. van Kranenburg

756 total citations
48 papers, 345 citations indexed

About

P. van Kranenburg is a scholar working on Signal Processing, Computer Vision and Pattern Recognition and Music. According to data from OpenAlex, P. van Kranenburg has authored 48 papers receiving a total of 345 indexed citations (citations by other indexed papers that have themselves been cited), including 35 papers in Signal Processing, 29 papers in Computer Vision and Pattern Recognition and 23 papers in Music. Recurrent topics in P. van Kranenburg's work include Music and Audio Processing (35 papers), Music Technology and Sound Studies (29 papers) and Diverse Musicological Studies (20 papers). P. van Kranenburg is often cited by papers focused on Music and Audio Processing (35 papers), Music Technology and Sound Studies (29 papers) and Diverse Musicological Studies (20 papers). P. van Kranenburg collaborates with scholars based in Netherlands, India and South Korea. P. van Kranenburg's co-authors include Anja Volk, Frans Wiering, Remco C. Veltkamp, E. Backer, Folgert Karsdorp, Wolfgang Haas, Antal van den Bosch, T. Meder, George Tzanetakis and Bas Janssen and has published in prestigious journals such as SHILAP Revista de lepidopterología, PLoS ONE and Pattern Recognition Letters.

In The Last Decade

P. van Kranenburg

42 papers receiving 302 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
P. van Kranenburg Netherlands	12	285	245	122	77	53	48	345
Eleanor Selfridge-Field United States	9	273 1.0×	265 1.1×	92 0.8×	92 1.2×	49 0.9×	53	399
Christopher Ariza United States	8	190 0.7×	189 0.8×	109 0.9×	34 0.4×	36 0.7×	15	262
Wolfgang Haas Netherlands	10	231 0.8×	211 0.9×	143 1.2×	35 0.5×	38 0.7×	35	288
Carlos Guedes Portugal	9	308 1.1×	322 1.3×	99 0.8×	51 0.7×	26 0.5×	46	415
Cyril Laurier Spain	8	424 1.5×	270 1.1×	183 1.5×	37 0.5×	109 2.1×	18	481
Alastair Porter Spain	9	253 0.9×	160 0.7×	52 0.4×	55 0.7×	59 1.1×	20	280
Maarten Grachten Austria	15	365 1.3×	366 1.5×	265 2.2×	46 0.6×	43 0.8×	43	470
Joel Chadabe United States	9	157 0.6×	272 1.1×	141 1.2×	65 0.8×	8 0.2×	21	333
Dmitri Tymoczko United States	10	139 0.5×	281 1.1×	278 2.3×	289 3.8×	12 0.2×	28	452
Mert Bay United States	8	316 1.1×	204 0.8×	90 0.7×	29 0.4×	70 1.3×	13	347

Countries citing papers authored by P. van Kranenburg

Since Specialization

Citations

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

Fields of papers citing papers by P. van Kranenburg

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by P. van Kranenburg. 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 P. van Kranenburg. The network helps show where P. van Kranenburg may publish in the future.

Co-authorship network of co-authors of P. van Kranenburg

This figure shows the co-authorship network connecting the top 25 collaborators of P. van Kranenburg. A scholar is included among the top collaborators of P. van Kranenburg 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 P. van Kranenburg. P. van Kranenburg 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

Mulholland, Paul, et al.. (2024). Supporting the End-User Curation of Cultural Heritage Knowledge Graphs. 35–44.

Kranenburg, P. van, et al.. (2023). Cross-Corpus Melodic Similarity For Enriching Archival Collections. 1–1.

Duan, Zhiyao, P. van Kranenburg, Juhan Nam, & Preeti Rao. (2023). Editorial for TISMIR Special Collection: Cultural Diversity in MIR Research. SHILAP Revista de lepidopterología. 6(1). 203–205. 1 indexed citations

Kranenburg, P. van, et al.. (2018). A Non-Melodic Characteristic to Compare the Music of Medieval Chant Traditions. Data Archiving and Networked Services (DANS). 78–79. 1 indexed citations

Kranenburg, P. van, et al.. (2017). Comparing Offertory Melodies Of Five Medieval Christian Chant Traditions.. KNAW Research Portal (The Royal Netherlands Academy of Arts and Sciences). 204–210. 4 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

Harris, Robert, P. van Kranenburg, & Bauke M. de Jong. (2016). Behavioral Quantification of Audiomotor Transformations in Improvising and Score-Dependent Musicians. PLoS ONE. 11(11). e0166033–e0166033. 4 indexed citations

Kranenburg, P. van. (2016). A Pattern Mining Approach to Study a Collection of Dutch Folk-Songs. ARROW@Dublin Institute of Technology (Dublin Institute of Technology). 1 indexed citations

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

10.

Kranenburg, P. van & Folgert Karsdorp. (2014). Cadence Detection In Western Traditional Stanzaic Songs Using Melodic And Textual Features.. Zenodo (CERN European Organization for Nuclear Research). 391–396. 4 indexed citations

11.

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

12.

Kranenburg, P. van, et al.. (2012). Identificatie van repertoire van achtiende-eeuwse bellenspeelklokken op basis van automatische vergelijking. Data Archiving and Networked Services (DANS). 147–161.

13.

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

14.

Kranenburg, P. van, Anja Volk, Frans Wiering, & Bente Mægaard. (2011). On Operationalizing the Musicological Concept of Tune Family for Computational Modeling. Data Archiving and Networked Services (DANS). 1 indexed citations

15.

Kranenburg, P. van & George Tzanetakis. (2010). A Computational Approach to the Modeling and Employment of Cognitive Units of Folk Song Melodies Using Audio Recordings. Data Archiving and Networked Services (DANS). 794–797. 2 indexed citations

16.

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

17.

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

18.

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

19.

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

20.

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

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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