Claudia Maehler
- Developmental and Educational Psychology top 2%
- Education top 5%
- Statistics and Probability top 1%
- Experimental and Cognitive Psychology top 5%
- Cognitive Neuroscience top 10%
- Co-authors
- Kirsten SchuchardtMarcus HasselhornMarkus GebhardtNirmala RaoDietmar GrubeStephanie W. Y. ChanMarcus PietschMaria von Salisch
- Topics
- Reading and Literacy Development (10 papers)Cognitive and developmental aspects of mathematical skills (8 papers)Language Development and Disorders (6 papers)
- Cited by
- Developmental and Educational PsychologyStatistics and ProbabilityExperimental and Cognitive Psychology
- Journals
- Frontiers in PsychologyInternational Journal of Science EducationJournal of Learning Disabilities
- Partner nations
- GermanyHong KongSwitzerland
In The Last Decade
Claudia Maehler
19 papers receiving 818 citations
Peers
Comparison fields: 5 of 65
- Developmental and Educational Psychology 572
- Education 314
- Statistics and Probability 283
- Experimental and Cognitive Psychology 194
- Cognitive Neuroscience 176
Countries citing papers authored by Claudia Maehler
This map shows the geographic impact of Claudia Maehler'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 Claudia Maehler with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Claudia Maehler more than expected).
Fields of papers citing papers by Claudia Maehler
This network shows the impact of papers produced by Claudia Maehler. 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 Claudia Maehler. The network helps show where Claudia Maehler may publish in the future.
Co-authorship network of co-authors of Claudia Maehler
This figure shows the co-authorship network connecting the top 25 collaborators of Claudia Maehler. A scholar is included among the top collaborators of Claudia Maehler 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 Claudia Maehler. Claudia Maehler is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 1 | |
| 2 | 1 | |
| 3 | 2 | |
| 4 | 5 | |
| 5 | 10 | |
| 6 | 8 | |
| 7 | 63 | |
| 8 | 28 | |
| 9 | 30 | |
| 10 | 73 | |
| 11 | 47 | |
| 12 | 10 | |
| 13 | 26 | |
| 14 | 84 | |
| 15 | 36 | |
| 16 | 42 | |
| 17 | 118 | |
| 18 | 79 | |
| 19 | 183 |
About Claudia Maehler
Claudia Maehler is a scholar working on Developmental and Educational Psychology, Statistics and Probability and Education, having authored 19 papers that have together received 846 indexed citations. Recurring topics across this work include Reading and Literacy Development (10 papers), Cognitive and developmental aspects of mathematical skills (8 papers) and Language Development and Disorders (6 papers). The work is most often cited by research in Developmental and Educational Psychology (572 citations), Statistics and Probability (283 citations) and Experimental and Cognitive Psychology (194 citations). Claudia Maehler has collaborated with scholars based in Germany, Hong Kong and Switzerland. Frequent co-authors include Kirsten Schuchardt, Marcus Hasselhorn, Markus Gebhardt, Nirmala Rao, Dietmar Grube, Stephanie W. Y. Chan, Marcus Pietsch and Maria von Salisch. Their work appears in journals such as Frontiers in Psychology, International Journal of Science Education and Journal of Learning Disabilities.
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.