Franz Wortha

461 total citations
16 papers, 253 citations indexed

About

Franz Wortha is a scholar working on Artificial Intelligence, Developmental and Educational Psychology and Cognitive Neuroscience. According to data from OpenAlex, Franz Wortha has authored 16 papers receiving a total of 253 indexed citations (citations by other indexed papers that have themselves been cited), including 6 papers in Artificial Intelligence, 5 papers in Developmental and Educational Psychology and 4 papers in Cognitive Neuroscience. Recurrent topics in Franz Wortha's work include Intelligent Tutoring Systems and Adaptive Learning (6 papers), Innovative Teaching and Learning Methods (4 papers) and Online Learning and Analytics (2 papers). Franz Wortha is often cited by papers focused on Intelligent Tutoring Systems and Adaptive Learning (6 papers), Innovative Teaching and Learning Methods (4 papers) and Online Learning and Analytics (2 papers). Franz Wortha collaborates with scholars based in Germany, United Kingdom and United States. Franz Wortha's co-authors include Roger Azevedo, Michelle Taub, Peter Gerjets, Elizabeth B. Cloude, Daryn A. Dever, Korbinian Moeller, Manuel Ninaus, Enkelejda Kasneci, Melissa Duffy and Jason M. Harley and has published in prestigious journals such as SHILAP Revista de lepidopterología, Frontiers in Psychology and Cognitive Science.

In The Last Decade

Franz Wortha

16 papers receiving 248 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Franz Wortha Germany	8	100	85	78	54	44	16	253
Megan Wiedbusch United States	10	135 1.4×	102 1.2×	73 0.9×	63 1.2×	48 1.1×	17	263
Daryn A. Dever United States	10	145 1.4×	105 1.2×	87 1.1×	56 1.0×	38 0.9×	21	256
Shashank Pawar United States	4	137 1.4×	57 0.7×	40 0.5×	86 1.6×	80 1.8×	8	250
Nicholas V. Mudrick United States	7	94 0.9×	50 0.6×	48 0.6×	43 0.8×	46 1.0×	11	168
Marta Koć‐Januchta Sweden	7	92 0.9×	37 0.4×	35 0.4×	81 1.5×	83 1.9×	9	259
Maria Wirzberger Germany	8	83 0.8×	31 0.4×	48 0.6×	69 1.3×	124 2.8×	33	246
Matthew E. Jacovina United States	10	141 1.4×	50 0.6×	78 1.0×	79 1.5×	55 1.3×	25	275
Andrew MacNamara United States	6	222 2.2×	48 0.6×	47 0.6×	82 1.5×	110 2.5×	7	338
Andrea Tartaro United States	8	62 0.6×	34 0.4×	38 0.5×	75 1.4×	17 0.4×	24	258
Pablo Pirnay‐Dummer Germany	11	217 2.2×	69 0.8×	131 1.7×	125 2.3×	51 1.2×	23	381

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-authorship network of co-authors of Franz Wortha

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

All Works

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16 of 16 papers shown

Trautwein, Ulrich, et al.. (2024). Taking another look at intelligence and personality using an eye-tracking approach. npj Science of Learning. 9(1). 41–41. 3 indexed citations

Wortha, Franz, et al.. (2024). The understanding of the agriculturally shaped environment: from the theoretical construct to an applied indicator of sustainable development. SHILAP Revista de lepidopterología. 5(1). 1 indexed citations

Mychajliw, Christian, et al.. (2023). Performance Differences of a Touch-Based Serial Reaction Time Task in Healthy Older Participants and Older Participants With Cognitive Impairment on a Tablet: Experimental Study. JMIR Aging. 7. e48265–e48265. 1 indexed citations

Sperber, Christoph, et al.. (2022). Spatial neglect in the digital age: Influence of presentation format on patients’ test behavior. Journal of the International Neuropsychological Society. 29(7). 686–695. 4 indexed citations

Azevedo, Roger, François Bouchet, Melissa Duffy, et al.. (2022). Lessons Learned and Future Directions of MetaTutor: Leveraging Multichannel Data to Scaffold Self-Regulated Learning With an Intelligent Tutoring System. Frontiers in Psychology. 13. 813632–813632. 86 indexed citations

Wortha, Franz, et al.. (2022). E-learning with multiple-try-feedback: Can hints foster students’ achievement during the semester?. Educational Technology Research and Development. 70(3). 713–736. 6 indexed citations

Ninaus, Manuel, et al.. (2021). Measuring Cognitive Load Using In-Game Metrics of a Serious Simulation Game. Frontiers in Psychology. 12. 572437–572437. 22 indexed citations

Kasneci, Enkelejda, Gjergji Kasneci, Johannes Haug, et al.. (2021). TüEyeQ, a rich IQ test performance data set with eye movement, educational and socio-demographic information. Scientific Data. 8(1). 154–154. 8 indexed citations

Gerjets, Peter, Stefan Hoffmann, Korbinian Moeller, et al.. (2021). Cross-Task and Cross-Participant Classification of Cognitive Load in an Emergency Simulation Game. IEEE Transactions on Affective Computing. 14(2). 1558–1571. 24 indexed citations

10.

Cloude, Elizabeth B., Franz Wortha, Daryn A. Dever, & Roger Azevedo. (2021). Negative emotional dynamics shape cognition and performance with MetaTutor: Toward building affect-aware systems. 1–8. 12 indexed citations

11.

Cloude, Elizabeth B., Franz Wortha, Daryn A. Dever, & Roger Azevedo. (2020). How do Emotions Change during Learning with an Intelligent Tutoring System? Metacognitive Monitoring and Performance with MetaTutor.. Cognitive Science. 9 indexed citations

12.

Wortha, Franz, Roger Azevedo, Michelle Taub, & Susanne Narciss. (2019). Multiple Negative Emotions During Learning With Digital Learning Environments – Evidence on Their Detrimental Effect on Learning From Two Methodological Approaches. Frontiers in Psychology. 10. 2678–2678. 32 indexed citations

13.

Wortha, Franz, et al.. (2019). Predicting Cognitive Load in an Emergency Simulation Based on Behavioral and Physiological Measures. 154–163. 36 indexed citations

14.

Mychajliw, Christian, et al.. (2018). Towards the development of a tablet-based screening for cognitive symptoms of neuropsychiatric disorders. 253–260. 2 indexed citations

15.

Azevedo, Roger, Nicholas V. Mudrick, Michelle Taub, & Franz Wortha. (2017). Coupling Between Metacognition and Emotions During STEM Learning With Advanced Learning Technologies: A Critical Analysis, Implications for Future Research, and Design of Learning Systems. Teachers College Record The Voice of Scholarship in Education. 119(13). 1–18. 6 indexed citations

16.

Seipel, Dietmar, et al.. (2016). Modellierung von Handlungswissen aus fragmentiertem und heterogenem Rohdatenmaterial durch inkrementelle Verfeinerung in einem Regelbanksystem. innsbruck university press. 9(2). 33–48. 1 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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