Agneta Gulz

67 papers receiving 1.1k citations

Peers

Agneta Gulz
Comparison fields: 5 of 55
  • Artificial Intelligence 540
  • Social Psychology 325
  • Developmental and Educational Psychology 208
  • Human-Computer Interaction 87
  • Computer Science Applications 45
Replace Magnus Haake with:
Magnus Haake Sweden
Steffi Heidig Germany
Katja Wiemer-Hastings United States
Catherine C. Chase United States
Scott W. McQuiggan United States
João Dias Portugal
Terri Flowerday United States
Frank J. Lee United States
Marsha C. Lovett United States
Erin Walker United States
Agneta Gulz relative to Magnus Haake Sweden Magnus Haake's profile →
Citations per field
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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 25 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 71 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2005131
2 2004116
3 201286
4 201661
5 201154
6 200553
7 201149
8 200936
9 201135
10
Visual Stereotypes and Virtual Pedagogical Agents
200833
11 201829
12 202029
13 201228
14 201326
15
Social and visual style in virtual pedagogical agents
200525
16 201025
17 202125
18 201623
19 202018
20 202018

About Agneta Gulz

Agneta Gulz is a scholar working on Artificial Intelligence, Social Psychology, Developmental and Educational Psychology, Human-Computer Interaction and Education, having authored 71 papers that have together received 1.2k indexed citations. Recurring topics across this work include Intelligent Tutoring Systems and Adaptive Learning (35 papers), Social Robot Interaction and HRI (23 papers), Virtual Reality Applications and Impacts (7 papers), Educational Games and Gamification (7 papers), Mathematics Education and Teaching Techniques (5 papers), Early Childhood Education and Development (4 papers), Hearing Loss and Rehabilitation (3 papers) and Student Assessment and Feedback (3 papers). The work is most often cited by research in Artificial Intelligence (540 citations), Social Psychology (325 citations), Developmental and Educational Psychology (208 citations), Human-Computer Interaction (87 citations) and Computer Science Applications (45 citations). Agneta Gulz has collaborated with scholars based in Sweden and United States. Frequent co-authors include Magnus Haake, Annika Silvervarg, Lena Pareto, Betty Tärning, Tom Ziemke B, Sam Thellman, Richard Andersson, George Veletsianos, Birgitta S. Sahlén and Susanne Schötz. Their work appears in journals such as International Journal of Artificial Intelligence in Education, Interaction design & architecture(s), PRESENCE Virtual and Augmented Reality, Journal of Computer Assisted Learning and Lecture notes in computer science.

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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