Wolfgang Haas

618 total citations
35 papers, 288 citations indexed

About

Wolfgang Haas is a scholar working on Computer Vision and Pattern Recognition, Signal Processing and Cognitive Neuroscience. According to data from OpenAlex, Wolfgang Haas has authored 35 papers receiving a total of 288 indexed citations (citations by other indexed papers that have themselves been cited), including 25 papers in Computer Vision and Pattern Recognition, 25 papers in Signal Processing and 15 papers in Cognitive Neuroscience. Recurrent topics in Wolfgang Haas's work include Music and Audio Processing (25 papers), Music Technology and Sound Studies (25 papers) and Neuroscience and Music Perception (15 papers). Wolfgang Haas is often cited by papers focused on Music and Audio Processing (25 papers), Music Technology and Sound Studies (25 papers) and Neuroscience and Music Perception (15 papers). Wolfgang Haas collaborates with scholars based in Netherlands, Germany and United Kingdom. Wolfgang Haas's co-authors include Frans Wiering, José Pedro Magalhães, Anja Volk, Remco C. Veltkamp, Henkjan Honing, John Burgoyne, Martin Rohrmeier, P. van Kranenburg, Sheridan Houghten and Meinard Müller and has published in prestigious journals such as SHILAP Revista de lepidopterología, Neural Computing and Applications and ACM SIGPLAN Notices.

In The Last Decade

Wolfgang Haas

33 papers receiving 256 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Wolfgang Haas Netherlands	10	231	211	143	38	35	35	288
Mikael Laurson France	11	399 1.7×	446 2.1×	203 1.4×	18 0.5×	14 0.4×	47	466
Alastair Porter Spain	9	253 1.1×	160 0.8×	52 0.4×	59 1.6×	55 1.6×	20	280
Mert Bay United States	8	316 1.4×	204 1.0×	90 0.6×	70 1.8×	29 0.8×	13	347
Cheng-Zhi Anna Huang United States	7	208 0.9×	212 1.0×	90 0.6×	67 1.8×	19 0.5×	13	286
Wen-Yi Hsiao Taiwan	6	309 1.3×	314 1.5×	161 1.1×	56 1.5×	15 0.4×	6	381
Andreas F. Ehmann United States	12	600 2.6×	428 2.0×	153 1.1×	127 3.3×	51 1.5×	24	661
Christopher Ariza United States	8	190 0.8×	189 0.9×	109 0.8×	36 0.9×	34 1.0×	15	262
Nils Peters Canada	8	134 0.6×	133 0.6×	89 0.6×	20 0.5×	7 0.2×	43	234
Giorgio Zoia Switzerland	5	261 1.1×	209 1.0×	51 0.4×	37 1.0×	25 0.7×	22	290
Masatoshi Hamanaka Japan	10	210 0.9×	204 1.0×	139 1.0×	42 1.1×	6 0.2×	55	303

Countries citing papers authored by Wolfgang Haas

Since Specialization

Citations

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

Fields of papers citing papers by Wolfgang Haas

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Wolfgang Haas

This figure shows the co-authorship network connecting the top 25 collaborators of Wolfgang Haas. A scholar is included among the top collaborators of Wolfgang Haas 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 Wolfgang Haas. Wolfgang Haas 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

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

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

Haas, Wolfgang, et al.. (2018). Automatic chord label personalization through deep learning of shared harmonic interval profiles. Neural Computing and Applications. 32(4). 929–939. 8 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.. (2016). Evaluating the Role of Repeated Patterns in Folk Song Classification and Compression. Journal of New Music Research. 45(3). 223–238. 16 indexed citations

Volk, Anja, et al.. (2015). Corpus-Based Rhythmic Pattern Analysis Of Ragtime Syncopation.. Zenodo (CERN European Organization for Nuclear Research). 483–489. 3 indexed citations

Haas, Wolfgang, Anja Volk, & Frans Wiering. (2013). Structural Segmentation of Music Based on Repeated Harmonies. 255–258. 3 indexed citations

Haas, Wolfgang. (2013). On the general excess bound for binary codes with covering radius one. Discrete Mathematics. 313(23). 2751–2762. 1 indexed citations

Haas, Wolfgang, José Pedro Magalhães, Frans Wiering, & Remco C. Veltkamp. (2013). Automatic Functional Harmonic Analysis. Computer Music Journal. 37(4). 37–53. 16 indexed citations

10.

Haas, Wolfgang, José Pedro Magalhães, & Frans Wiering. (2012). Improving Audio Chord Transcription By Exploiting Harmonic And Metric Knowledge.. Utrecht University Repository (Utrecht University). 295–300. 16 indexed citations

11.

Magalhães, José Pedro & Wolfgang Haas. (2011). Functional modelling of musical harmony. ACM SIGPLAN Notices. 46(9). 156–162. 13 indexed citations

12.

Haas, Wolfgang, José Pedro Magalhães, Remco C. Veltkamp, & Frans Wiering. (2011). Harmtrace: Improving Harmonic Similarity Estimation Using Functional Harmony Analysis.. Data Archiving and Networked Services (DANS). 67–72. 9 indexed citations

13.

Haas, Wolfgang, Martin Rohrmeier, Remco C. Veltkamp, & Frans Wiering. (2009). MODELING HARMONIC SIMILARITY USING A GENERATIVE GRAMMAR OF TONAL HARMONY. International Symposium/Conference on Music Information Retrieval. 549–554. 22 indexed citations

14.

Haas, Wolfgang, et al.. (2008). Lower bounds on covering codes via partition matrices. Journal of Combinatorial Theory Series A. 116(2). 478–484. 5 indexed citations

15.

Haas, Wolfgang, et al.. (2008). Generating Random Dynamic Resource Scheduling Problems. 23(5). 5–5. 2 indexed citations

16.

Haas, Wolfgang. (2008). On the Failing Cases of the Johnson Bound for Error-Correcting Codes. The Electronic Journal of Combinatorics. 15(1). 2 indexed citations

17.

Haas, Wolfgang & Sheridan Houghten. (2007). A comparison of evolutionary algorithms for finding optimal error-correcting codes. Computational intelligence. 64–70. 5 indexed citations

18.

Haas, Wolfgang, et al.. (2007). On Mixed Codes with Covering Radius $1$ and Minimum Distance $2$. The Electronic Journal of Combinatorics. 14(1).

19.

Haas, Wolfgang. (2002). Binary and ternary codes of covering radius one: some new lower bounds. Discrete Mathematics. 256(1-2). 161–178. 3 indexed citations

20.

Haas, Wolfgang. (2000). Lower bounds for q-ary codes of covering radius one. Discrete Mathematics. 219(1-3). 97–106. 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.

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