Daniel Wolff

462 total citations
16 papers, 306 citations indexed

About

Daniel Wolff is a scholar working on Signal Processing, Computer Vision and Pattern Recognition and Music. According to data from OpenAlex, Daniel Wolff has authored 16 papers receiving a total of 306 indexed citations (citations by other indexed papers that have themselves been cited), including 15 papers in Signal Processing, 12 papers in Computer Vision and Pattern Recognition and 4 papers in Music. Recurrent topics in Daniel Wolff's work include Music and Audio Processing (14 papers), Music Technology and Sound Studies (12 papers) and Speech and Audio Processing (4 papers). Daniel Wolff is often cited by papers focused on Music and Audio Processing (14 papers), Music Technology and Sound Studies (12 papers) and Speech and Audio Processing (4 papers). Daniel Wolff collaborates with scholars based in United Kingdom, Germany and France. Daniel Wolff's co-authors include Markus Koch, Rolf Bardeli, Karl‐Heinz Frommolt, Frank Kurth, Tillman Weyde, Samer Abdallah, Nicolas Gold, Emmanouil Benetos, Mathieu Barthet and Mark D. Plumbley and has published in prestigious journals such as Pattern Recognition Letters, IEEE Signal Processing Letters and Journal of Web Semantics.

In The Last Decade

Daniel Wolff

16 papers receiving 288 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Daniel Wolff United Kingdom	6	196	170	131	63	44	16	306
Kristen Bellisario United States	9	179 0.9×	99 0.6×	131 1.0×	23 0.4×	27 0.6×	16	267
Yu Shiu United States	11	278 1.4×	124 0.7×	327 2.5×	73 1.2×	62 1.4×	31	512
Rolf Bardeli Germany	5	225 1.1×	158 0.9×	139 1.1×	30 0.5×	45 1.0×	15	307
Olaf Jahn Germany	9	245 1.3×	155 0.9×	164 1.3×	14 0.2×	47 1.1×	17	351
Alice Eldridge United Kingdom	12	246 1.3×	96 0.6×	213 1.6×	96 1.5×	51 1.2×	33	495
Toby Gifford Australia	8	142 0.7×	58 0.3×	161 1.2×	81 1.3×	34 0.8×	33	358
Rafael Álvarez Spain	7	222 1.1×	94 0.6×	167 1.3×	55 0.9×	73 1.7×	30	401
Michael Firman United Kingdom	7	117 0.6×	58 0.3×	100 0.8×	138 2.2×	51 1.2×	12	365
Hanna Pamuła Poland	5	208 1.1×	134 0.8×	144 1.1×	15 0.2×	36 0.8×	7	293
Sara Keen United States	11	345 1.8×	98 0.6×	281 2.1×	14 0.2×	187 4.3×	16	456

Countries citing papers authored by Daniel Wolff

Since Specialization

Citations

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

Fields of papers citing papers by Daniel Wolff

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Daniel Wolff

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

All Works

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16 of 16 papers shown

Wolff, Daniel, György Fazekas, Klaus Frieler, et al.. (2022). The Jazz Ontology: A semantic model and large-scale RDF repositories for jazz. Journal of Web Semantics. 74. 100735–100735. 2 indexed citations

Wolff, Daniel, et al.. (2021). A Convolutional-Attentional Neural Framework for Structure-Aware Performance-Score Synchronization. IEEE Signal Processing Letters. 29. 344–348. 2 indexed citations

Abdallah, Samer, et al.. (2017). The Digital Music Lab. Journal on Computing and Cultural Heritage. 10(1). 1–21. 13 indexed citations

Abdallah, Samer, et al.. (2016). Digital music lab: A framework for analysing big music data. 1118–1122. 2 indexed citations

Wolff, Daniel, et al.. (2016). A directionaly constrained distortionless multistage LCMV beamformer. 1–5. 1 indexed citations

Wolff, Daniel, Andrew MacFarlane, & Tillman Weyde. (2015). Comparative Music Similarity Modelling Using Transfer Learning Across User Groups.. Zenodo (CERN European Organization for Nuclear Research). 24–30. 1 indexed citations

Tran, Son N., Daniel Wolff, Tillman Weyde, & Artur d’Avila Garcez. (2014). Feature Preprocessing with Restricted Boltzmann Machines for Music Similarity Learning. Figshare. 1 indexed citations

Wolff, Daniel, Guillaume Bellec, Anders Friberg, Andrew MacFarlane, & Tillman Weyde. (2014). Creating audio based experiments as social Web games with the CASimIR framework. 288–297. 2 indexed citations

Barthet, Mathieu, et al.. (2014). Big Chord Data Extraction and Mining. City Research Online (City University London). 8 indexed citations

10.

Weyde, Tillman, Jason Dykes, Emmanouil Benetos, et al.. (2014). Big Data for Musicology. View. 1–3. 7 indexed citations

11.

Wolff, Daniel, et al.. (2014). Incremental Dataset Definition for Large Scale Musicological Research. 1–8. 1 indexed citations

12.

Wolff, Daniel & Tillman Weyde. (2013). Learning music similarity from relative user ratings. Information Retrieval. 17(2). 109–136. 13 indexed citations

13.

Wolff, Daniel, Sebastian Stober, Andreas Nürnberger, & Tillman Weyde. (2012). A Systematic Comparison of Music Similarity Adaptation Approaches. International Symposium/Conference on Music Information Retrieval. 103–108. 4 indexed citations

14.

Wolff, Daniel & Tillman Weyde. (2012). Adapting similarity on the MagnaTagATune database. 931–936. 2 indexed citations

15.

Wolff, Daniel & Tillman Weyde. (2011). Adapting Metrics For Music Similarity Using Comparative Ratings.. Zenodo (CERN European Organization for Nuclear Research). 73–78. 10 indexed citations

16.

Bardeli, Rolf, et al.. (2009). Detecting bird sounds in a complex acoustic environment and application to bioacoustic monitoring. Pattern Recognition Letters. 31(12). 1524–1534. 237 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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