Franz Wortha

16 papers receiving 273 citations

Peers

Franz Wortha
Comparison fields: 5 of 49
  • Computer Science Applications 86
  • Developmental and Educational Psychology 105
  • Human-Computer Interaction 32
  • Experimental and Cognitive Psychology 40
  • Artificial Intelligence 81
Replace Megan Wiedbusch with:
Megan Wiedbusch United States
Daryn A. Dever United States
Maria Wirzberger Germany
Shashank Pawar United States
Nicholas V. Mudrick United States
Ginny Smith United States
Elizabeth B. Cloude United States
Marta Koć‐Januchta Sweden
Kathy MinHye Kim United States
Matthew E. Jacovina United States
Franz Wortha relative to Megan Wiedbusch United States Megan Wiedbusch's profile →
Citations per field
00.5×1.7×
Megan Wiedbusch · 1×
Citations per year

Countries citing papers authored by Franz Wortha

Since Specialization
Citations

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

Fields of papers citing papers by Franz Wortha

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

16 of 16 papers shown
#Work
1 2022100
2 201937
3 201935
4 202127
5 202124
6 202113
7
How do Emotions Change during Learning with an Intelligent Tutoring System? Metacognitive Monitoring and Performance with MetaTutor.
20209
8 20219
9 20228
10 20176
11 20224
12 20243
13 20182
14 20241
15 20231
16 20161

About Franz Wortha

Franz Wortha is a scholar working on Artificial Intelligence, Developmental and Educational Psychology, Cognitive Neuroscience, Experimental and Cognitive Psychology and Social Psychology, having authored 16 papers that have together received 280 indexed citations. Recurring topics across this work include Intelligent Tutoring Systems and Adaptive Learning (6 papers), Innovative Teaching and Learning Methods (4 papers), Online and Blended Learning (2 papers), Human-Automation Interaction and Safety (2 papers), Gaze Tracking and Assistive Technology (2 papers), Online Learning and Analytics (2 papers), Autism Spectrum Disorder Research (1 paper) and AI-based Problem Solving and Planning (1 paper). The work is most often cited by research in Computer Science Applications (86 citations), Developmental and Educational Psychology (105 citations), Human-Computer Interaction (32 citations), Experimental and Cognitive Psychology (40 citations) and Artificial Intelligence (81 citations). Franz Wortha has collaborated with scholars based in Germany, United States and United Kingdom. Frequent co-authors include Roger Azevedo, Michelle Taub, Peter Gerjets, Elizabeth B. Cloude, Daryn A. Dever, Manuel Ninaus, Korbinian Moeller, Rebeca Cerezo, Melissa Duffy and Susanne Narciss. Their work appears in journals such as Frontiers in Psychology, npj Science of Learning, JMIR Aging, Educational Technology Research and Development and Teachers College Record The Voice of Scholarship in 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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