Marie-Monique Schaper

805 citations
41 papers · 533 indexed · h-index 15

Impact in

Papers in

Marie-Monique Schaper

39 papers receiving 526 citations

Peers

Marie-Monique Schaper
Comparison fields: 5 of 72
  • Human-Computer Interaction 252
  • Computer Science Applications 158
  • Museology 36
  • Developmental and Educational Psychology 95
  • Health Informatics 9
Replace Heidi Schelhowe with:
Heidi Schelhowe Germany
Elisa Rubegni United Kingdom
Matthew Butler Australia
Stamatina Anastopoulou United Kingdom
Ahmed Kharrufa United Kingdom
Jason Tham United States
Debora Lui United States
Sοfoklis Sotiriou Greece
Tom McKlin United States
Marie-Monique Schaper relative to Heidi Schelhowe Germany Heidi Schelhowe's profile →
Citations per field
00.5×6.3×
Heidi Schelhowe · 1×
Citations per year

Countries citing papers authored by Marie-Monique Schaper

Since Specialization
Citations

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

Fields of papers citing papers by Marie-Monique Schaper

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Marie-Monique Schaper. 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 Marie-Monique Schaper. The network helps show where Marie-Monique Schaper may publish in the future.

Co-authors

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

All Works

20 of 20 papers shown
#Work
1 20252
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3 20244
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5 20235
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7 20231
8 20236
9 202232
10 202252
11 20221
12 20225
13 202116
14 202014
15 20207
16 20205
17 201920
18 201810
19 201861
20 201713

About Marie-Monique Schaper

Marie-Monique Schaper is a scholar working on Human-Computer Interaction, Computer Science Applications, Museology, Human Factors and Ergonomics and Information Systems, having authored 41 papers that have together received 533 indexed citations. Recurring topics across this work include Innovative Human-Technology Interaction (26 papers), Teaching and Learning Programming (13 papers), Child Development and Digital Technology (10 papers), ICT in Developing Communities (6 papers), Persona Design and Applications (6 papers), Design Education and Practice (6 papers), Virtual Reality Applications and Impacts (4 papers) and Mobile Learning in Education (3 papers). The work is most often cited by research in Human-Computer Interaction (252 citations), Computer Science Applications (158 citations), Museology (36 citations), Developmental and Educational Psychology (95 citations) and Health Informatics (9 citations). Marie-Monique Schaper has collaborated with scholars based in Spain, Denmark and United States. Frequent co-authors include Laura Malinverni, Narcís Parés, Ole Sejer Iversen, Maarten Van Mechelen, Rachel Charlotte Smith, María Santos, Marianne Graves Petersen, Karl-Emil Kjær Bilstrup, Elisa Rubegni and Vicky Charisi. Their work appears in journals such as International Journal of Child-Computer Interaction, International Journal of Human-Computer Studies, ACM Transactions on Computer-Human Interaction, Educational Technology Research and Development and International Journal of Technology and Design Education.

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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