Emma Frid

28 papers receiving 253 citations

Peers

Emma Frid
Comparison fields: 5 of 53
  • Cognitive Neuroscience 165
  • Human-Computer Interaction 107
  • Computer Vision and Pattern Recognition 97
  • Social Psychology 47
  • Experimental and Cognitive Psychology 47
Replace Mick Grierson with:
Mick Grierson United Kingdom
Franziska Schroeder United Kingdom
Sandra Pauletto United Kingdom
Fiore Martin United Kingdom
Paul Stapleton United Kingdom
Sarah Fdili Alaoui France
Kjetil Falkenberg Hansen Sweden
Γεώργιος Κουρουπέτρογλου Greece
Antti Pirhonen Finland
Helena Daffern United Kingdom
Emma Frid relative to Mick Grierson United Kingdom Mick Grierson's profile →
Citations per field
00.5×2.6×
Mick Grierson · 1×
Citations per year

Countries citing papers authored by Emma Frid

Since Specialization
Citations

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

Fields of papers citing papers by Emma Frid

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Emma Frid

This figure shows the co-authorship network connecting the top 25 collaborators of Emma Frid. A scholar is included among the top collaborators of Emma Frid 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 Emma Frid. Emma Frid 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
#WorkIndexed citations
1 14
2 4
3 8
4
Reimagining (Accessible) Digital Musical Instruments: A Survey on Electronic Music-Making Tools
1
5 1
6 20
7 1
8 5
9
Diverse Sounds : Enabling Inclusive Sonic Interaction
4
10 79
11
Accessible Digital Musical Instruments - A Survey of Inclusive Instruments Presented at the NIME, SMC and ICMC Conferences
10
12 1
13 18
14
Sonification of Women in Sound and Music Computing - The Sound of Female Authorship in ICMC, SMC and NIME Proceedings.
0
15 3
16 11
17 6
18 6
19
Perceptual Characterization of a Tactile Display for a Live-Electronics Notification System
0
20 5

About Emma Frid

Emma Frid is a scholar working on Human-Computer Interaction, Cognitive Neuroscience and Computer Vision and Pattern Recognition, having authored 30 papers that have together received 273 indexed citations. Recurring topics across this work include Tactile and Sensory Interactions (20 papers), Music Technology and Sound Studies (15 papers) and Interactive and Immersive Displays (7 papers). The work is most often cited by research in Human-Computer Interaction (107 citations), Cognitive Neuroscience (165 citations) and Music (26 citations). Emma Frid has collaborated with scholars based in Sweden, France and Australia. Frequent co-authors include Roberto Bresin, Claudia Núñez-Pacheco, Zeyu Jin, Simon Alexanderson, Kjetil Falkenberg Hansen, Jonas Moll, Marcelo M. Wanderley, M. Giordano, Fabio Morreale and Anders Lundström. Their work appears in journals such as Frontiers in Neuroscience, International Journal of Human-Computer Studies and International Journal of Social Robotics.

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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