Christopher Harte
Impact in
- Signal Processing top 2%
- Music and Audio Processing
- Speech and Audio Processing
-
- Music Technology and Sound Studies
- Video Analysis and Summarization
Papers in
-
- Music and Audio Processing 12
- Speech and Audio Processing 5
- Music 2
- Diverse Musicological Studies 2
- Co-authors
- M. SandlerMartin GasserSamer AbdallahEmília GómezSimon DixonAndrew McPhersonMatthias MauchMichael A. Casey
- Journals
- Journal of New Music Research (1 paper)The Journal of the Acoustical Society of America (1 paper)International Journal of Human-Computer Interaction (1 paper)Natural Computing (1 paper)Journal of the Audio Engineering Society (1 paper)
- Partner nations
- United KingdomRomaniaAustria
In The Last Decade
Christopher Harte
14 papers receiving 358 citations
Peers
Comparison fields: 5 of 43
- Signal Processing 363
- Computer Vision and Pattern Recognition 289
- Music 39
- Cognitive Neuroscience 119
- Developmental Biology 10
Countries citing papers authored by Christopher Harte
This map shows the geographic impact of Christopher Harte'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 Christopher Harte with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Christopher Harte more than expected).
Fields of papers citing papers by Christopher Harte
This network shows the impact of papers produced by Christopher Harte. 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 Christopher Harte. The network helps show where Christopher Harte may publish in the future.
Co-authorship network
The 11 scholars most cited alongside Christopher Harte, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2024 | 0 | |
| 2 | 2019 | 3 | |
| 3 | 2017 | 1 | |
| 4 | 2017 | 9 | |
| 5 | 2017 | 2 | |
| 6 | 2016 | 3 | |
| 7 | Corpus-taught Evolutionary Music Composition | 2015 | 2 |
| 8 | 2015 | 2 | |
| 9 | Digitally Moving an Electric Guitar Pickup | 2015 | 2 |
| 10 | 2015 | 21 | |
| 11 | 2014 | 3 | |
| 12 | 2007 | 28 | |
| 13 | 2006 | 183 | |
| 14 | Automatic Chord Identifcation using a Quantised Chromagram | 2005 | 46 |
| 15 | 2005 | 102 |
About Christopher Harte
Christopher Harte is a scholar working on Signal Processing, Music, Computer Vision and Pattern Recognition, Software and Artificial Intelligence, having authored 15 papers that have together received 407 indexed citations. Recurring topics across this work include Music Technology and Sound Studies (12 papers), Music and Audio Processing (12 papers), Speech and Audio Processing (5 papers), Evolutionary Algorithms and Applications (5 papers), Modular Robots and Swarm Intelligence (2 papers), Diverse Musicological Studies (2 papers), Statistics Education and Methodologies (1 paper) and Metaheuristic Optimization Algorithms Research (1 paper). The work is most often cited by research in Signal Processing (363 citations), Computer Vision and Pattern Recognition (289 citations), Music (39 citations), Cognitive Neuroscience (119 citations) and Developmental Biology (10 citations). Christopher Harte has collaborated with scholars based in United Kingdom, Romania and Austria. Frequent co-authors include M. Sandler, Martin Gasser, Samer Abdallah, Emília Gómez, Simon Dixon, Andrew McPherson, Matthias Mauch, Michael A. Casey, Andrew McPherson and Nick Bryan–Kinns. Their work appears in journals such as Journal of New Music Research, The Journal of the Acoustical Society of America, International Journal of Human-Computer Interaction, Natural Computing and Journal of the Audio Engineering Society.
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.