Jason Freeman
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- Teaching and Learning Programming 23
- Human-Computer Interaction top 1%
- Interactive and Immersive Displays 13
- Innovative Human-Technology Interaction 8
- Health top 5%
- Applied Psychology top 5%
- Music top 2%
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- Music Technology and Sound Studies 46
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- Music and Audio Processing 29
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- Experimental Learning in Engineering 10
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- Innovative Teaching and Learning Methods 10
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- Neuroscience and Music Perception 10
Jason Freeman
104 papers receiving 1.3k citations
Hit Papers
Peers
Comparison fields: 5 of 136
- Computer Science Applications 283
- Human-Computer Interaction 262
- Health 245
- Applied Psychology 113
- Music 50
Countries citing papers authored by Jason Freeman
This map shows the geographic impact of Jason Freeman'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 Jason Freeman with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Jason Freeman more than expected).
Fields of papers citing papers by Jason Freeman
This network shows the impact of papers produced by Jason Freeman. 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 Jason Freeman. The network helps show where Jason Freeman may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Jason Freeman, 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 | 10 | |
| 2 | 2024 | 0 | |
| 3 | 2024 | 1 | |
| 4 | 2024 | 1 | |
| 5 | 2024 | 0 | |
| 6 | 2023 | 1 | |
| 7 | 2022 | 1 | |
| 8 | 2021 | 105 | |
| 9 | 2020 | 28 | |
| 10 | TunePad: Engaging Learners at the Intersection of Music and Code. | 2020 | 5 |
| 11 | Towards a Hybrid Recommendation System for a Sound Library. | 2019 | 10 |
| 12 | Audio Source Localization as an Input to Virtual Reality Environments | 2018 | 3 |
| 13 | Why do People Blog: A Q Analysis of Perceptions for Blogging | 2018 | 1 |
| 14 | Data-to-music API: Real-time data-agnostic sonification with musical structure models | 2015 | 6 |
| 15 | 2015 | 3 | |
| 16 | Mobile Networked Music Demonstration: Sequencer404 | 2006 | 1 |
| 17 | Contemporary Music Review | 2005 | 32 |
| 18 | LARGE AUDIENCE PARTICIPATION, TECHNOLOGY, AND ORCHESTRAL PERFORMANCE | 2005 | 21 |
| 19 | THE ARCHITECTURE OF AURACLE: A VOICE-CONTROLLED, NETWORKED SOUND INSTRUMENT | 2005 | 3 |
| 20 | Adaptive High-level Classification of Vocal Gestures Within a Networked Sound Instrument | 2004 | 8 |
About Jason Freeman
Jason Freeman is a scholar working on Computer Science Applications, Human-Computer Interaction, Signal Processing, Computer Vision and Pattern Recognition and Media Technology, having authored 107 papers that have together received 1.4k indexed citations. Recurring topics across this work include Music Technology and Sound Studies (46 papers), Music and Audio Processing (29 papers), Teaching and Learning Programming (23 papers), Interactive and Immersive Displays (13 papers), Experimental Learning in Engineering (10 papers), Innovative Teaching and Learning Methods (10 papers), Neuroscience and Music Perception (10 papers) and Innovative Human-Technology Interaction (8 papers). The work is most often cited by research in Computer Science Applications (283 citations), Human-Computer Interaction (262 citations), Health (245 citations), Applied Psychology (113 citations) and Music (50 citations). Jason Freeman has collaborated with scholars based in United States, United Kingdom and Spain. Frequent co-authors include Brian Magerko, Daniel Freeman, Tom McKlin, Poppy Brown, Mel Slater, Sameer Kishore, Alecia Nickless, Megan Denne, Bernhard Spanlang and Laina Rosebrock. Their work appears in journals such as Computer Music Journal, Organised Sound, Journal of the Audio Engineering Society, Psychological Medicine and Leonardo Music Journal.
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.