Robin Laney

2.1k citations
72 papers · 1.3k indexed · h-index 18

Robin Laney

69 papers receiving 1.2k citations

Peers

Robin Laney
Comparison fields: 5 of 103
  • Software 190
  • Information Systems 749
  • Signal Processing 282
  • Radiological and Ultrasound Technology 84
  • Human-Computer Interaction 84
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Countries citing papers authored by Robin Laney

Since Specialization
Citations

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

Fields of papers citing papers by Robin Laney

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network

The 25 scholars most cited alongside Robin Laney, 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 Robin Laney Line = papers co-authored together Robin Laney links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown
#Work
1 20212
2 20194
3
Characterizing the Landscape of Musical Data on the Web: State of the Art and Challenges
20174
4
Algorithmic music as intelligent game music
20145
5
Developing a hybrid wind instrument: using a loudspeaker to couple a theoretical exciter to a real resonator
20141
6
Critical issues in evaluating freely improvising interactive music systems
20128
7
Multi-touch interaction principles for collaborative real-time music activities: towards a pattern language
20111
8
INTEGRATED BUILDING DESIGN, INFORMATION AND SIMULATION MODELLING: THE NEED FOR A NEW HIERARCHY
201125
9 201116
10
Using discovered, polyphonic patterns to filter computer-generated music
20101
11 20109
12
Software engineering challenges: Achieving zero carbon buildings by 2019
20101
13
On the structure of problem variability: From feature diagrams to problem frames
20079
14
Approaches to Software Development
20072
15 200532
16 200434
17 200444
18 200419
19
Using Problem Frames and projections to analyze requirements for distributed systems
20047
20 20032

About Robin Laney

Robin Laney is a scholar working on Human-Computer Interaction, Signal Processing and Software, having authored 72 papers that have together received 1.3k indexed citations. Recurring topics across this work include Music Technology and Sound Studies (28 papers), Advanced Software Engineering Methodologies (24 papers), Music and Audio Processing (20 papers), Neuroscience and Music Perception (16 papers), Service-Oriented Architecture and Web Services (11 papers), Software Engineering Research (10 papers), Interactive and Immersive Displays (10 papers) and Information and Cyber Security (8 papers). The work is most often cited by research in Software (190 citations), Information Systems (749 citations) and Signal Processing (282 citations). Robin Laney has collaborated with scholars based in United Kingdom, Hong Kong and Spain. Frequent co-authors include Bashar Nuseibeh, Charles B. Haley, Jonathan Moffett, Michael Jackson, James Allen, Aaron Robertson, Alison Curnow, Jon G. Hall, Lucia Rapanotti and Stephen Peake. Their work appears in journals such as Computer Music Journal, Journal of Music Technology and Education, Music Perception An Interdisciplinary Journal, IEEE Software and International Journal of Molecular Sciences.

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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