Paul Vickers

66 papers receiving 703 citations

Peers

Paul Vickers
Comparison fields: 5 of 109
  • Human-Computer Interaction 101
  • Computer Vision and Pattern Recognition 321
  • Cognitive Neuroscience 211
  • Signal Processing 124
  • Computer Science Applications 52
Replace Celso A. S. Santos with:
Celso A. S. Santos Brazil
Bill Manaris United States
Sandra Carberry United States
Jonathan I. Helfman United States
Ingrid Zukerman Australia
Ephraim P. Glinert United States
Vidya Setlur United States
Brian Strope United States
Eunyee Koh United States
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Citations per field
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Citations per year

Countries citing papers authored by Paul Vickers

Since Specialization
Citations

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

Fields of papers citing papers by Paul Vickers

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 19 scholars most cited alongside Paul Vickers, 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 Paul Vickers Line = papers co-authored together Paul Vickers links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 69 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2012131
2 200263
3 201136
4 201436
5
Sonification for Process Monitoring
201132
6
Sonification Design and Aesthetics
201131
7 201229
8 200227
9 200325
10 199825
11
CAITLIN: A Musical Program Auralisation Tool to Assist Novice Programmers with Debugging
199623
12 201323
13 201818
14 200516
15 199815
16 201813
17 200212
18 201612
19 199712
20
Musical Program Auralisation: Empirical Studies
200011

About Paul Vickers

Paul Vickers is a scholar working on Computer Vision and Pattern Recognition, Cognitive Neuroscience, Artificial Intelligence, Information Systems and Signal Processing, having authored 69 papers that have together received 779 indexed citations. Recurring topics across this work include Tactile and Sensory Interactions (16 papers), Data Visualization and Analytics (14 papers), Music Technology and Sound Studies (9 papers), Software Engineering Research (9 papers), Interactive and Immersive Displays (7 papers), Advanced Malware Detection Techniques (7 papers), Multisensory perception and integration (6 papers) and Digital and Cyber Forensics (5 papers). The work is most often cited by research in Human-Computer Interaction (101 citations), Computer Vision and Pattern Recognition (321 citations), Cognitive Neuroscience (211 citations), Signal Processing (124 citations) and Computer Science Applications (52 citations). Paul Vickers has collaborated with scholars based in United Kingdom, Chile and United States. Frequent co-authors include Jane Alty, Helen Gibson, Stephen Barrass, Graeme Horsman, Shadi Aljawarneh, Peter Matthews, Jane Holmes, Mark Nicholson, Dimitrios Rigas and David Worrall. Their work appears in journals such as Interacting with Computers, ACM Transactions on Applied Perception, Journal of Music Technology and Education, Journal of the Philosophy of History and Information Visualization.

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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