Markus Neuwirth
Impact in
- Music top 2%
- Musicology and Musical Analysis
- Diverse Musicological Studies
- Diverse Music Education Insights
- Signal Processing top 5%
- Music and Audio Processing
Papers in
- Music 15
- Musicology and Musical Analysis 13
- Diverse Musicological Studies 5
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- Music and Audio Processing 11
- Co-authors
- Martin Rohrmeier (12 shared papers)Tudor Popescu (1 shared paper)Michael J. Piotrowski (1 shared paper)Paul Grünbacher (1 shared paper)
- Journals
- Scientific Reports (2 papers)Journal of Mathematics and Music (1 paper)Music Analysis (1 paper)PLoS ONE (1 paper)Studia Musicologica (1 paper)
- Partner nations
- SwitzerlandGermanyAustria
In The Last Decade
Markus Neuwirth
22 papers receiving 150 citations
Peers
Comparison fields: 5 of 26
- Music 88
- Signal Processing 108
- Cognitive Neuroscience 133
- Computer Vision and Pattern Recognition 76
- Developmental Biology 7
Countries citing papers authored by Markus Neuwirth
This map shows the geographic impact of Markus Neuwirth'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 Markus Neuwirth with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Markus Neuwirth more than expected).
Fields of papers citing papers by Markus Neuwirth
This network shows the impact of papers produced by Markus Neuwirth. 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 Markus Neuwirth. The network helps show where Markus Neuwirth may publish in the future.
Co-authors
The 4 scholars most cited alongside Markus Neuwirth, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 30 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2019 | 30 | |
| 2 | 2018 | 30 | |
| 3 | 2019 | 26 | |
| 4 | 2021 | 20 | |
| 5 | What Is a Cadence?: Theoretical and Analytical Perspectives on Cadences in the Classical Repertoire | 2015 | 10 |
| 6 | 2020 | 9 | |
| 7 | 2015 | 9 | |
| 8 | Joseph Haydn's "Witty" Play on Hepokoski and Darcy's Elements of Sonata Theory | 2011 | 8 |
| 9 | 2016 | 7 | |
| 10 | 2015 | 6 | |
| 11 | 2010 | 5 | |
| 12 | 2018 | 5 | |
| 13 | 2021 | 5 | |
| 14 | 2011 | 4 | |
| 15 | 2021 | 3 | |
| 16 | 2013 | 3 | |
| 17 | 2022 | 3 | |
| 18 | Re-investigating the Primary Theme Zone in Haydn's Early Symphonies - Periods, Sentences, Loops, and Their Temporal Implications | 2011 | 3 |
| 19 | 2022 | 2 | |
| 20 | Prospects for Computational Hermeneutics | 2020 | 2 |
About Markus Neuwirth
Markus Neuwirth is a scholar working on Music, Signal Processing, Cognitive Neuroscience, Computer Vision and Pattern Recognition and Literature and Literary Theory, having authored 30 papers that have together received 200 indexed citations. Recurring topics across this work include Musicology and Musical Analysis (13 papers), Neuroscience and Music Perception (13 papers), Music and Audio Processing (11 papers), Music Technology and Sound Studies (8 papers), Diverse Musicological Studies (5 papers), Natural Language Processing Techniques (2 papers), Semantic Web and Ontologies (2 papers) and Digital Humanities and Scholarship (2 papers). The work is most often cited by research in Music (88 citations), Signal Processing (108 citations), Cognitive Neuroscience (133 citations), Computer Vision and Pattern Recognition (76 citations) and Developmental Biology (7 citations). Markus Neuwirth has collaborated with scholars based in Switzerland, Germany and Austria. Frequent co-authors include Martin Rohrmeier, Tudor Popescu, Michael J. Piotrowski and Paul Grünbacher. Their work appears in journals such as Scientific Reports, Journal of Mathematics and Music, Music Analysis, PLoS ONE and Studia Musicologica.
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.