Agneta Gulz

46 papers receiving 605 citations

Peers

Agneta Gulz
Comparison fields: 5 of 64
  • Developmental and Educational Psychology 331
  • Computer Science Applications 140
  • Human-Computer Interaction 71
  • Experimental and Cognitive Psychology 112
  • Artificial Intelligence 243
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Magnus Haake Sweden
Krista E. DeLeeuw United States
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Marlit Annalena Lindner Germany
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Agneta Gulz relative to Magnus Haake Sweden Magnus Haake's profile →
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Citations per year

Countries citing papers authored by Agneta Gulz

Since Specialization
Citations

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

Fields of papers citing papers by Agneta Gulz

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 24 scholars most cited alongside Agneta Gulz, 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 Agneta Gulz Line = papers co-authored together Agneta Gulz links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 49 papers — load more, or switch the sort, to bring in the rest.

#Work
1 200594
2 200492
3 201269
4 200548
5
Visual Stereotypes and Virtual Pedagogical Agents
200828
6 201826
7
A Look at the Roles of Look & Roles in Embodied Pedagogical Agents - A User Preference Perspective
200926
8 201324
9 202023
10
Social and visual style in virtual pedagogical agents
200522
11 201618
12 202117
13 202016
14 201016
15 202014
16 201512
17 201011
18
Visual Design of Virtual Pedagogical Agents: Naturalism versus Stylization in Static Appearance
200611
19 201910
20
Supporting Early Math : Rationales and Requirements for High Quality Software
20159

About Agneta Gulz

Agneta Gulz is a scholar working on Developmental and Educational Psychology, Computer Science Applications, Human-Computer Interaction, Statistics and Probability and Visual Arts and Performing Arts, having authored 49 papers that have together received 663 indexed citations. Recurring topics across this work include Innovative Teaching and Learning Methods (11 papers), Educational Games and Gamification (11 papers), Intelligent Tutoring Systems and Adaptive Learning (8 papers), Cognitive and developmental aspects of mathematical skills (7 papers), Online Learning and Analytics (6 papers), Digital Games and Media (6 papers), Child Development and Digital Technology (6 papers) and Virtual Reality Applications and Impacts (5 papers). The work is most often cited by research in Developmental and Educational Psychology (331 citations), Computer Science Applications (140 citations), Human-Computer Interaction (71 citations), Experimental and Cognitive Psychology (112 citations) and Artificial Intelligence (243 citations). Agneta Gulz has collaborated with scholars based in Sweden, Iran and United States. Frequent co-authors include Magnus Haake, Lena Pareto, Annika Silvervarg, Betty Tärning, Richard Andersson, Birgitta Sahlén, Kristina Hansson, Susanne Schötz, R. C. Wolf and Marianne Gullberg. Their work appears in journals such as International Journal of Artificial Intelligence in Education, Journal of Computer Assisted Learning, Interaction design & architecture(s), Frontiers in Psychology and Journal of Educational Psychology.

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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