Tanja Käser

1.4k total citations · 1 hit paper
49 papers, 550 citations indexed

About

Tanja Käser is a scholar working on Artificial Intelligence, Developmental and Educational Psychology and Computer Science Applications. According to data from OpenAlex, Tanja Käser has authored 49 papers receiving a total of 550 indexed citations (citations by other indexed papers that have themselves been cited), including 28 papers in Artificial Intelligence, 19 papers in Developmental and Educational Psychology and 18 papers in Computer Science Applications. Recurrent topics in Tanja Käser's work include Online Learning and Analytics (18 papers), Intelligent Tutoring Systems and Adaptive Learning (12 papers) and Cognitive and developmental aspects of mathematical skills (10 papers). Tanja Käser is often cited by papers focused on Online Learning and Analytics (18 papers), Intelligent Tutoring Systems and Adaptive Learning (12 papers) and Cognitive and developmental aspects of mathematical skills (10 papers). Tanja Käser collaborates with scholars based in Switzerland, Germany and United States. Tanja Käser's co-authors include Markus Groß, Severin Klingler, Alexander G. Schwing, Michael von Aster, Karin Kucian, Daniel L. Schwartz, Juliane Kohn, Thiemo Wambsganß, Gian-Marco Baschera and Mirko Marras and has published in prestigious journals such as Frontiers in Psychology, British Journal of Educational Technology and Journal of Computer Assisted Learning.

In The Last Decade

Tanja Käser

43 papers receiving 512 citations

Hit Papers

align trajectories

What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

The critical role of trust in adopting AI-powered educational technology for learning: An instrument for measuring student perceptions

2025 17 citations Tanya Nazaretsky, Tanja Käser et al. Computers and Education Artificial Intelligence profile →

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Tanja Käser Switzerland	14	269	230	188	126	123	49	550
Diego Zapata‐Rivera United States	15	345 1.3×	240 1.0×	238 1.3×	135 1.1×	18 0.1×	60	650
David Arnau Spain	11	154 0.6×	103 0.4×	95 0.5×	88 0.7×	38 0.3×	33	314
André A. Rupp United States	10	193 0.7×	128 0.6×	192 1.0×	128 1.0×	64 0.5×	20	521
Noboru Matsuda United States	13	307 1.1×	217 0.9×	139 0.7×	92 0.7×	12 0.1×	45	483
Erin Ottmar United States	14	86 0.3×	110 0.5×	250 1.3×	281 2.2×	161 1.3×	49	572
Salmiza Saleh Malaysia	12	95 0.4×	113 0.5×	101 0.5×	262 2.1×	21 0.2×	49	566
Luc Paquette United States	13	267 1.0×	363 1.6×	245 1.3×	150 1.2×	7 0.1×	50	608
Sujith M. Gowda United States	12	461 1.7×	488 2.1×	244 1.3×	104 0.8×	12 0.1×	18	678
Sergio Gutiérrez-Santos United Kingdom	11	148 0.6×	197 0.9×	181 1.0×	104 0.8×	18 0.1×	28	339
Peida Zhan China	14	193 0.7×	58 0.3×	83 0.4×	82 0.7×	86 0.7×	46	478

Countries citing papers authored by Tanja Käser

Since Specialization

Citations

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

Fields of papers citing papers by Tanja Käser

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Tanja Käser

This figure shows the co-authorship network connecting the top 25 collaborators of Tanja Käser. A scholar is included among the top collaborators of Tanja Käser 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 Tanja Käser. Tanja Käser is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

Sort: Min cites: Since: Top N: Style:

20 of 20 papers shown

Nazaretsky, Tanya, et al.. (2025). The critical role of trust in adopting AI-powered educational technology for learning: An instrument for measuring student perceptions. Computers and Education Artificial Intelligence. 8. 100368–100368. 17 indexed citations breakdown →

Davis, Richard L., et al.. (2025). Metacognition meets AI : Empowering reflective writing with large language models. British Journal of Educational Technology. 56(5). 1864–1896. 4 indexed citations

Wambsganß, Thiemo, et al.. (2025). MindMate: Exploring the Effect of Conversational Agents on Reflective Writing. Infoscience (Ecole Polytechnique Fédérale de Lausanne). 1–9. 1 indexed citations

Käser, Tanja, et al.. (2025). The Effect of Different Support Strategies on Student Affect. Infoscience (Ecole Polytechnique Fédérale de Lausanne). 783–789.

Alfredo, Riordan, Vanessa Echeverría, Linxuan Zhao, et al.. (2025). TeamTeachingViz: Benefits, Challenges, and Ethical Considerations of Using a Multimodal Analytics Dashboard to Support Team Teaching Reflection. Monash University Research Portal (Monash University). 58–69. 1 indexed citations

Nazaretsky, Tanya, et al.. (2024). Enhancing Procedural Writing Through Personalized Example Retrieval: A Case Study on Cooking Recipes. International Journal of Artificial Intelligence in Education. 35(1). 330–366. 4 indexed citations

Wambsganß, Thiemo, et al.. (2024). Evaluating the Impact of Learner Control and Interactivity in Conversational Tutoring Systems for Persuasive Writing. International Journal of Artificial Intelligence in Education. 35(2). 791–822. 9 indexed citations

Käser, Tanja & Giora Alexandron. (2023). Simulated Learners in Educational Technology: A Systematic Literature Review and a Turing-like Test. International Journal of Artificial Intelligence in Education. 34(2). 545–585. 11 indexed citations

Marras, Mirko, et al.. (2023). Ripple: Concept-Based Interpretation for Raw Time Series Models in Education. Proceedings of the AAAI Conference on Artificial Intelligence. 37(13). 15903–15911. 2 indexed citations

10.

Marras, Mirko, et al.. (2021). Can Feature Predictive Power Generalize? Benchmarking Early Predictors of Student Success across Flipped and Online Courses. Infoscience (Ecole Polytechnique Fédérale de Lausanne). 7 indexed citations

11.

Marras, Mirko, et al.. (2021). Early Prediction of Conceptual Understanding in Interactive Simulations. Infoscience (Ecole Polytechnique Fédérale de Lausanne). 161–171. 4 indexed citations

12.

Käser, Tanja & Daniel L. Schwartz. (2020). Modeling and Analyzing Inquiry Strategies in Open-Ended Learning Environments. International Journal of Artificial Intelligence in Education. 30(3). 504–535. 17 indexed citations

13.

Kohn, Juliane, Karin Kucian, Tanja Käser, et al.. (2020). Efficacy of a Computer-Based Learning Program in Children With Developmental Dyscalculia. What Influences Individual Responsiveness?. Frontiers in Psychology. 11. 1115–1115. 16 indexed citations

14.

Käser, Tanja & Daniel L. Schwartz. (2019). Exploring Neural Network Models for the Classification of Students in Highly Interactive Environments.. Infoscience (Ecole Polytechnique Fédérale de Lausanne). 3 indexed citations

15.

Klingler, Severin, et al.. (2017). Efficient Feature Embeddings for Student Classification with Variational Auto-Encoders.. Educational Data Mining. 7 indexed citations

16.

Klingler, Severin, et al.. (2017). Efﬁcient Feature Embeddings for Student Classiﬁcation with Variational Auto-encoders. Infoscience (Ecole Polytechnique Fédérale de Lausanne). 72–79. 8 indexed citations

17.

Klingler, Severin, Tanja Käser, Barbara Solenthaler, & Markus Groß. (2016). Temporally Coherent Clustering of Student Data.. Infoscience (Ecole Polytechnique Fédérale de Lausanne). 102–109. 11 indexed citations

18.

Kohn, Juliane, et al.. (2016). Evaluation of a Computer-Based Training Program for Enhancing Arithmetic Skills and Spatial Number Representation in Primary School Children. Frontiers in Psychology. 7. 913–913. 11 indexed citations

19.

Käser, Tanja, Alberto Giovanni Busetto, Barbara Solenthaler, et al.. (2013). Modelling and Optimizing Mathematics Learning in Children. International Journal of Artificial Intelligence in Education. 23(1-4). 115–135. 14 indexed citations

20.

Käser, Tanja, Gian-Marco Baschera, Juliane Kohn, et al.. (2013). Design and evaluation of the computer-based training program Calcularis for enhancing numerical cognition. Frontiers in Psychology. 4. 489–489. 71 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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