Eva Deckers

409 citations
26 papers · 316 · h-index 9

Impact in

Papers in

Eva Deckers

24 papers receiving 293 citations

Peers

Eva Deckers
Comparison fields: 5 of 64
  • Human-Computer Interaction 154
  • Management of Technology and Innovation 53
  • Applied Psychology 27
  • Marketing 28
  • Demography 35
Replace Shelley Wood with:
Shelley Wood Belgium
Antti Väätänen Finland
Corinna Ogonowski Germany
Jessamyn Burns Wendell
Guillaume Gronier Luxembourg
Virginica Rusu Chile
Aikaterini Bourazeri United Kingdom
Lin Wan Germany
Mehrab Bin Morshed United States
Tomas Sokoler Denmark
Eva Deckers relative to Shelley Wood Belgium Shelley Wood's profile →
Citations per field
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Shelley Wood · 1×
Citations per year

Countries citing papers authored by Eva Deckers

Since Specialization
Citations

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

Fields of papers citing papers by Eva Deckers

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 13 scholars most cited alongside Eva Deckers, 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 Eva Deckers Line = papers co-authored together Eva Deckers links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 26 papers — load more, or switch the sort, to bring in the rest.

#Work
1 201668
2 200348
3 201836
4 201822
5 201121
6 202216
7 199916
8 202014
9 20168
10 20208
11 20177
12 20226
13 20146
14 20186
15 20125
16 20125
17 20115
18
When movement invites to experience : a Kansei design exploration on senses’ qualities
20124
19 20134
20 20204

About Eva Deckers

Eva Deckers is a scholar working on Human-Computer Interaction, Management of Technology and Innovation, General Health Professions, Computer Vision and Pattern Recognition and Marketing, having authored 26 papers that have together received 316 indexed citations. Recurring topics across this work include Innovative Human-Technology Interaction (16 papers), Innovative Approaches in Technology and Social Development (5 papers), Design Education and Practice (4 papers), Technology Use by Older Adults (4 papers), Service and Product Innovation (4 papers), Interactive and Immersive Displays (3 papers), Color perception and design (2 papers) and Mobile Health and mHealth Applications (2 papers). The work is most often cited by research in Human-Computer Interaction (154 citations), Management of Technology and Innovation (53 citations), Applied Psychology (27 citations), Marketing (28 citations) and Demography (35 citations). Eva Deckers has collaborated with scholars based in Netherlands, Finland and Belgium. Frequent co-authors include Joep Frens, Caroline Hummels, Stephan Wensveen, Kees Overbeeke, Danny De Vleeschauwer, A. Stevels, Mathias Funk, Pierre Lévy, Berry Eggen and Simon W. Nienhuijs. Their work appears in journals such as Journal of Cleaner Production, Bariatric Surgical Practice and Patient Care, International Journal of Human-Computer Interaction, Artificial intelligence for engineering design analysis and manufacturing and The Design Journal.

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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