Danielle Wilde

72 papers receiving 1.2k citations

Peers

Danielle Wilde
Comparison fields: 5 of 92
  • Human-Computer Interaction 877
  • Visual Arts and Performing Arts 135
  • Cultural Studies 71
  • Computer Vision and Pattern Recognition 135
  • Museology 29
Replace Jakob Tholander with:
Jakob Tholander Sweden
Martin Jönsson Sweden
Miriam Sturdee United Kingdom
Oscar Tomico Netherlands
Peter Gall Krogh Denmark
Ferran Altarriba Bertran United States
Ylva Fernaeus Sweden
Verena Fuchsberger Austria
Paul Tennent United Kingdom
Daragh Byrne United States
Danielle Wilde relative to Jakob Tholander Sweden Jakob Tholander's profile →
Citations per field
00.5×1.5×2×2.3×
Jakob Tholander · 1×
Citations per year

Countries citing papers authored by Danielle Wilde

Since Specialization
Citations

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

Fields of papers citing papers by Danielle Wilde

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 76 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2017159
2 2019117
3 201494
4 201848
5 201145
6 201943
7 202039
8 200338
9
Learning through digitally-augmented physical experiences: Reflections on the ambient wood project.
200235
10 202035
11 201934
12 201630
13 201728
14 201827
15 202026
16 201821
17 201821
18 202021
19 202121
20 201919

About Danielle Wilde

Danielle Wilde is a scholar working on Human-Computer Interaction, Visual Arts and Performing Arts, Cultural Studies, Computer Vision and Pattern Recognition and Mechanical Engineering, having authored 76 papers that have together received 1.3k indexed citations. Recurring topics across this work include Innovative Human-Technology Interaction (48 papers), Design Education and Practice (13 papers), Art, Technology, and Culture (12 papers), Posthumanist Ethics and Activism (7 papers), Music Technology and Sound Studies (5 papers), Interactive and Immersive Displays (5 papers), Innovative Approaches in Technology and Social Development (5 papers) and Sustainable Design and Development (5 papers). The work is most often cited by research in Human-Computer Interaction (877 citations), Visual Arts and Performing Arts (135 citations), Cultural Studies (71 citations), Computer Vision and Pattern Recognition (135 citations) and Museology (29 citations). Danielle Wilde has collaborated with scholars based in Denmark, Australia and Sweden. Frequent co-authors include Ferran Altarriba Bertran, Oscar Tomico, Anna Vallgårda, Katherine Isbister, Florian Mueller, Hilary Davis, Kristina Andersen, Thecla Schiphorst, Sietske Klooster and Patrizia Marti. Their work appears in journals such as interactions, Personal and Ubiquitous Computing, She ji, International Journal on Disability and Human Development and International Journal of Performance Arts and Digital Media.

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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