Michael Wiedmann

14 papers receiving 472 citations

Peers

Michael Wiedmann
Comparison fields: 5 of 44
  • Computer Science Applications 140
  • Developmental and Educational Psychology 278
  • Education 287
  • Experimental and Cognitive Psychology 56
  • Artificial Intelligence 86
Replace Claire Scoular with:
Claire Scoular Australia
Márta Sobocinski Finland
Amber Chauncey United States
Carolin Hahnel Germany
Stephanie B. Corliss United States
Cornelia Schoor Germany
Nicholas V. Mudrick United States
Tiina Törmänen Finland
Jozef Colpaert Belgium
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Citations per field
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Citations per year

Countries citing papers authored by Michael Wiedmann

Since Specialization
Citations

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

Fields of papers citing papers by Michael Wiedmann

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 12 scholars most cited alongside Michael Wiedmann, 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 Michael Wiedmann Line = papers co-authored together Michael Wiedmann links everyone, so they are left out of the graph.

All Works

15 of 15 papers shown
#Work
1 2014219
2 201782
3 201257
4 201634
5 201628
6 202221
7 201318
8
Robust student knowledge : adapting to individual student needs as they explore the concepts and practice the procedures of fractions
201510
9 201610
10 201910
11
Diversity, Collaboration, and Learning by Invention
20134
12 20233
13
Transferring CSCL Findings to Face-to-Face Teacher Practice.
20132
14 20152
15 20230

About Michael Wiedmann

Michael Wiedmann is a scholar working on Developmental and Educational Psychology, Computer Science Applications, Education, Artificial Intelligence and Experimental and Cognitive Psychology, having authored 15 papers that have together received 500 indexed citations. Recurring topics across this work include Innovative Teaching and Learning Methods (12 papers), Intelligent Tutoring Systems and Adaptive Learning (5 papers), Online Learning and Analytics (3 papers), Teacher Education and Leadership Studies (2 papers), Educational Strategies and Epistemologies (2 papers), Online and Blended Learning (2 papers), Mathematics Education and Teaching Techniques (2 papers) and Education and Technology Integration (2 papers). The work is most often cited by research in Computer Science Applications (140 citations), Developmental and Educational Psychology (278 citations), Education (287 citations), Experimental and Cognitive Psychology (56 citations) and Artificial Intelligence (86 citations). Michael Wiedmann has collaborated with scholars based in Germany, United Kingdom and United States. Frequent co-authors include Nikol Rummel, Hans Spada, W. Holmes, Manolis Mavrikis, Beate Grawemeyer, Sergio Gutiérrez-Santos, Jennifer Wiley, Ryan C. Leach, Timo Leuders and Katharina Loibl. Their work appears in journals such as Cognitive Science, User Modeling and User-Adapted Interaction, Educational Technology Research and Development, Instructional Science and Computers & 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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