Agneta Gulz

1.5k total citations
49 papers, 663 citations indexed

About

Agneta Gulz is a scholar working on Developmental and Educational Psychology, Artificial Intelligence and Education. According to data from OpenAlex, Agneta Gulz has authored 49 papers receiving a total of 663 indexed citations (citations by other indexed papers that have themselves been cited), including 27 papers in Developmental and Educational Psychology, 12 papers in Artificial Intelligence and 12 papers in Education. Recurrent topics in Agneta Gulz's work include Innovative Teaching and Learning Methods (11 papers), Educational Games and Gamification (11 papers) and Intelligent Tutoring Systems and Adaptive Learning (8 papers). Agneta Gulz is often cited by papers focused on Innovative Teaching and Learning Methods (11 papers), Educational Games and Gamification (11 papers) and Intelligent Tutoring Systems and Adaptive Learning (8 papers). Agneta Gulz collaborates with scholars based in Sweden, Iran and United States. Agneta Gulz's co-authors include Magnus Haake, Lena Pareto, Betty Tärning, Annika Silvervarg, Richard Andersson, Birgitta Sahlén, Kristina Hansson, Susanne Schötz, Roger Johansson and Marianne Gullberg and has published in prestigious journals such as Journal of Educational Psychology, Computers & Education and Frontiers in Psychology.

In The Last Decade

Agneta Gulz

46 papers receiving 605 citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Agneta Gulz Sweden 15 331 243 173 140 112 49 663
Magnus Haake Sweden 15 285 0.9× 158 0.7× 120 0.7× 100 0.7× 127 1.1× 45 630
Scott McQuiggan United States 12 197 0.6× 288 1.2× 97 0.6× 124 0.9× 97 0.9× 19 584
Blair Lehman United States 11 388 1.2× 327 1.3× 226 1.3× 234 1.7× 207 1.8× 25 874
Shulan Lu United States 7 264 0.8× 346 1.4× 104 0.6× 125 0.9× 122 1.1× 22 682
François Bouchet France 11 311 0.9× 182 0.7× 172 1.0× 223 1.6× 111 1.0× 34 612
Barry Kort United States 5 206 0.6× 277 1.1× 124 0.7× 153 1.1× 129 1.2× 6 572
Weinan Zhao China 7 251 0.8× 137 0.6× 102 0.6× 185 1.3× 122 1.1× 15 529
Rinat B. Rosenberg‐Kima Israel 10 163 0.5× 158 0.7× 121 0.7× 95 0.7× 101 0.9× 26 534
Jeremiah Sullins United States 9 404 1.2× 419 1.7× 150 0.9× 214 1.5× 189 1.7× 25 758
Amy M. Johnson United States 15 419 1.3× 166 0.7× 309 1.8× 158 1.1× 185 1.7× 33 728

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-authorship network of co-authors of Agneta Gulz

This figure shows the co-authorship network connecting the top 25 collaborators of Agneta Gulz. A scholar is included among the top collaborators of Agneta Gulz based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Agneta Gulz. Agneta Gulz is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
1.
Brännström, K. Jonas, et al.. (2021). Listening effort and fatigue in native and non-native primary school children. Journal of Experimental Child Psychology. 210. 105203–105203. 17 indexed citations
2.
Sahlén, Birgitta, et al.. (2021). Development of an Auditory Passage Comprehension Task for Swedish Primary School Children of Cultural and Linguistic Diversity. Journal of Speech Language and Hearing Research. 64(10). 3883–3893. 5 indexed citations
3.
Gulz, Agneta, et al.. (2020). Preschoolers’ Understanding of a Teachable Agent-Based Game in Early Mathematics as Reflected in their Gaze Behaviors – an Experimental Study. International Journal of Artificial Intelligence in Education. 30(1). 38–73. 23 indexed citations
4.
Silvervarg, Annika, R. C. Wolf, Kristen Pilner Blair, Magnus Haake, & Agneta Gulz. (2020). How teachable agents influence students’ responses to critical constructive feedback. Journal of Research on Technology in Education. 53(1). 67–88. 16 indexed citations
5.
Tärning, Betty, et al.. (2019). Lessons Learned from a Study on Distractions in Virtual Learning Environments: Reliability, Ecological Validity, and an Elusive Social Component. PRESENCE Virtual and Augmented Reality. 28. 65–85. 1 indexed citations
6.
Haake, Magnus, et al.. (2019). Motion capture-based animated characters for the study of speech–gesture integration. Behavior Research Methods. 52(3). 1339–1354. 10 indexed citations
7.
Gulz, Agneta, et al.. (2018). Visualizing knowledge in the era of instructional software and gamification : Challenges in design, method and practical use. Lund University Publications (Lund University). 1 indexed citations
8.
Tärning, Betty, Annika Silvervarg, Agneta Gulz, & Magnus Haake. (2018). Instructing a Teachable Agent with Low or High Self-Efficacy – Does Similarity Attract?. International Journal of Artificial Intelligence in Education. 29(1). 89–121. 26 indexed citations
9.
Tärning, Betty, Magnus Haake, & Agneta Gulz. (2017). Supporting Low-Performing Students by Manipulating Self-efficacy in Digital Tutees. Cognitive Science. 1169–1174. 2 indexed citations
10.
Gulz, Agneta, et al.. (2015). Supporting Early Math : Rationales and Requirements for High Quality Software. KTH Publication Database DiVA (KTH Royal Institute of Technology). 34(4). 409–429. 9 indexed citations
11.
Gulz, Agneta. (2013). Lärandet i den svarta boxen. KTH Publication Database DiVA (KTH Royal Institute of Technology). 1 indexed citations
12.
Silvervarg, Annika, et al.. (2012). The Effect of Visual Gender on Abuse in Conversation with ECAs. Lecture notes in computer science. 7502. 153–160. 1 indexed citations
13.
Gulz, Agneta & Magnus Haake. (2010). Challenging Gender Stereotypes Using Virtual Pedagogical Characters. Lund University Publications (Lund University). 113–132. 1 indexed citations
14.
Gulz, Agneta, et al.. (2009). Evaluating a Teaching and Learning Game. Journal of Computer Assisted Learning. 7 indexed citations
15.
Haake, Magnus & Agneta Gulz. (2008). Visual Stereotypes and Virtual Pedagogical Agents. Educational Technology & Society. 11(4). 1–15. 28 indexed citations
16.
Gulz, Agneta, et al.. (2008). Catching Eureka on the Fly. Lund University Publications (Lund University). 65–71. 4 indexed citations
17.
Haake, Magnus & Agneta Gulz. (2007). Virtual pedagogical agents: stylisation for engagement. Lund University Publications (Lund University). 1 indexed citations
18.
Johansson, Petter, Lars Häll, Agneta Gulz, Magnus Haake, & Katsumi Watanabe. (2007). Choice blindness and trust in the virtual world. Lund University Publications (Lund University). 107(60). 83–86. 5 indexed citations
19.
Johansson, Petter, Lars Häll, Agneta Gulz, Magnus Haake, & Katsumi Watanabe. (2007). Choice blindness and trust in the virtual world (ヒューマンコミュニケーション基礎). 107(59). 83–86. 1 indexed citations
20.
Gulz, Agneta. (1999). »Does one size fit all?« - kognitiv variation och IT. 3(2). 2 indexed citations

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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