Adrian Hazzard

512 total citations
44 papers, 353 citations indexed

About

Adrian Hazzard is a scholar working on Computer Vision and Pattern Recognition, Human-Computer Interaction and Cognitive Neuroscience. According to data from OpenAlex, Adrian Hazzard has authored 44 papers receiving a total of 353 indexed citations (citations by other indexed papers that have themselves been cited), including 31 papers in Computer Vision and Pattern Recognition, 29 papers in Human-Computer Interaction and 9 papers in Cognitive Neuroscience. Recurrent topics in Adrian Hazzard's work include Music Technology and Sound Studies (29 papers), Innovative Human-Technology Interaction (27 papers) and Interactive and Immersive Displays (16 papers). Adrian Hazzard is often cited by papers focused on Music Technology and Sound Studies (29 papers), Innovative Human-Technology Interaction (27 papers) and Interactive and Immersive Displays (16 papers). Adrian Hazzard collaborates with scholars based in United Kingdom, Denmark and United States. Adrian Hazzard's co-authors include Steve Benford, Chris Greenhalgh, Alan Chamberlain, Gary Burnett, Joe Marshall, Conor Linehan, Kevin Glover, Mads Bødker, Andrew McPherson and Jocelyn Spence and has published in prestigious journals such as ACM Transactions on Computer-Human Interaction, Human-Computer Interaction and Personal and Ubiquitous Computing.

In The Last Decade

Adrian Hazzard

42 papers receiving 336 citations

Peers

Adrian Hazzard
Comparison fields: 5 of 61
  • Human-Computer Interaction 220
  • Computer Vision and Pattern Recognition 166
  • Cognitive Neuroscience 69
  • Signal Processing 37
  • Social Psychology 33
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Citations per field, relative to Adrian Hazzard
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Citations per year, relative to Adrian Hazzard
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Countries citing papers authored by Adrian Hazzard

Since Specialization
Citations

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

Fields of papers citing papers by Adrian Hazzard

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Adrian Hazzard

This figure shows the co-authorship network connecting the top 25 collaborators of Adrian Hazzard. A scholar is included among the top collaborators of Adrian Hazzard 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 Adrian Hazzard. Adrian Hazzard is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
# Work Indexed citations
1 5
2 5
3 2
4 3
5 3
6 24
7 7
8 1
9 13
10 1
11 0
12 1
13 9
14 12
15 5
16 4
17
Sonifying the Scene: re-framing and manipulating meaning through audio augmentation
1
18 1
19 10
20
You’ll never walk alone: designing a location-based soundtrack
5

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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