Jason Freeman

104 papers receiving 1.3k citations

Jason Freeman's Hit Papers

Effects of different types of written vaccination information on COVID-19 vaccine hesitancy in the UK (OCEANS-III): a single-blind, parallel-group, randomised controlled trial 2021 · 192 citations
1920+2+5Years since publication50100150200

Peers

Jason Freeman
Comparison fields: 5 of 136
  • Computer Science Applications 283
  • Human-Computer Interaction 262
  • Health 245
  • Applied Psychology 113
  • Music 50
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Citations per year

Countries citing papers authored by Jason Freeman

Since Specialization
Citations

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

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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-authors

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.

Border = papers with Jason Freeman Line = papers co-authored together Jason Freeman links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 107 papers — load more, or switch the sort, to bring in the rest.

#Work
1
Automated psychological therapy using immersive virtual reality for treatment of fear of heights: a single-blind, parallel-group, randomised controlled trial
Hit paper breakdown →
2018244
2
Effects of different types of written vaccination information on COVID-19 vaccine hesitancy in the UK (OCEANS-III): a single-blind, parallel-group, randomised controlled trial
Hit paper breakdown →
2021192
3 2021105
4 201467
5 201662
6 201744
7 200838
8
Contemporary Music Review
200532
9 202028
10 200824
11 201823
12 201223
13
LARGE AUDIENCE PARTICIPATION, TECHNOLOGY, AND ORCHESTRAL PERFORMANCE
200521
14 202220
15 201320
16 201919
17 201918
18 201818
19 202017
20 201716

About Jason Freeman

Jason Freeman is a scholar working on Computer Vision and Pattern Recognition, Signal Processing, Computer Science Applications, Human-Computer Interaction and Sociology and Political Science, 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), Neuroscience and Music Perception (10 papers), Innovative Teaching and Learning Methods (10 papers), Experimental Learning in Engineering (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, Sameer Kishore, Poppy Brown, Bernhard Spanlang, Alecia Nickless, Megan Denne, Mel Slater and Felicity Waite. Their work appears in journals such as Computer Music Journal, Organised Sound, Journal of the Audio Engineering Society, Psychological Medicine and BMJ Open.

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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