Daniela Mahler

419 total citations
14 papers, 305 citations indexed

About

Daniela Mahler is a scholar working on Education, Developmental and Educational Psychology and Social Psychology. According to data from OpenAlex, Daniela Mahler has authored 14 papers receiving a total of 305 indexed citations (citations by other indexed papers that have themselves been cited), including 11 papers in Education, 7 papers in Developmental and Educational Psychology and 5 papers in Social Psychology. Recurrent topics in Daniela Mahler's work include Educational Strategies and Epistemologies (7 papers), Science Education and Pedagogy (4 papers) and Teacher Professional Development and Motivation (3 papers). Daniela Mahler is often cited by papers focused on Educational Strategies and Epistemologies (7 papers), Science Education and Pedagogy (4 papers) and Teacher Professional Development and Motivation (3 papers). Daniela Mahler collaborates with scholars based in Germany, Switzerland and Norway. Daniela Mahler's co-authors include Ute Harms, Jörg Großschedl, Thilo Kleickmann, Till Bruckermann, Julia Arnold, Jens Møller, Knut Neumann, Mirjam Steffensky, Anke Lindmeier and Stefanie Herzog and has published in prestigious journals such as SHILAP Revista de lepidopterología, PLoS ONE and Teaching and Teacher Education.

In The Last Decade

Daniela Mahler

11 papers receiving 288 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Daniela Mahler Germany 8 232 84 81 39 32 14 305
Richard Sheldrake United Kingdom 11 233 1.0× 72 0.9× 99 1.2× 27 0.7× 29 0.9× 18 360
Nazan Bautista United States 8 219 0.9× 42 0.5× 89 1.1× 27 0.7× 27 0.8× 15 287
Thanita Lerdpornkulrat Thailand 9 214 0.9× 99 1.2× 113 1.4× 32 0.8× 51 1.6× 20 372
Rosanne Zwart Netherlands 11 393 1.7× 57 0.7× 145 1.8× 32 0.8× 29 0.9× 15 475
Chanut Poondej Thailand 8 149 0.6× 58 0.7× 104 1.3× 24 0.6× 45 1.4× 17 268
Leslie Bradbury United States 10 361 1.6× 56 0.7× 89 1.1× 33 0.8× 24 0.8× 21 415
Sofia Freire Portugal 9 205 0.9× 27 0.3× 85 1.0× 50 1.3× 9 0.3× 45 265
David Jeffries Australia 8 196 0.8× 46 0.5× 152 1.9× 53 1.4× 22 0.7× 13 316
Sibel Kaya Türkiye 12 292 1.3× 53 0.6× 109 1.3× 30 0.8× 32 1.0× 43 383
Asuman Seda Saracaloğlu Türkiye 10 299 1.3× 49 0.6× 92 1.1× 27 0.7× 21 0.7× 93 378

Countries citing papers authored by Daniela Mahler

Since Specialization
Citations

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

Fields of papers citing papers by Daniela Mahler

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Daniela Mahler

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

All Works

14 of 14 papers shown
1.
Mahler, Daniela, et al.. (2025). Exploring technology-related belief structures: domain-specific and domain-general beliefs of preservice science teachers. International Journal of Science Education. 1–24.
2.
Mahler, Daniela, et al.. (2024). Using longitudinal models to describe preservice science teachers’ development of content knowledge and pedagogical content knowledge. Teaching and Teacher Education. 144. 104583–104583. 2 indexed citations
3.
Bruckermann, Till, et al.. (2022). Erklärvideos im Biologieunterricht, vom informellen zum formalen Lernwerkzeug?! –. SHILAP Revista de lepidopterología.
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Mahler, Daniela, Jörg Großschedl, & Ute Harms. (2018). Does motivation matter? – The relationship between teachers’ self-efficacy and enthusiasm and students’ performance. PLoS ONE. 13(11). e0207252–e0207252. 87 indexed citations
9.
Bruckermann, Till, et al.. (2018). Learning Opportunities in Biology Teacher Education Contribute to Understanding of Nature of Science. Education Sciences. 8(3). 103–103. 18 indexed citations
10.
Großschedl, Jörg, Daniela Mahler, & Ute Harms. (2018). Construction and Evaluation of an Instrument to Measure Content Knowledge in Biology: The CK-IBI. Education Sciences. 8(3). 145–145. 15 indexed citations
11.
Mahler, Daniela, Jörg Großschedl, & Ute Harms. (2017). Using doubly latent multilevel analysis to elucidate relationships between science teachers’ professional knowledge and students’ performance. International Journal of Science Education. 39(2). 213–237. 49 indexed citations
12.
Mahler, Daniela, Jörg Großschedl, & Ute Harms. (2017). Opportunities to Learn for Teachers’ Self‐Efficacy and Enthusiasm. Education Research International. 2017(1). 47 indexed citations
13.
Großschedl, Jörg, Daniela Mahler, Thilo Kleickmann, & Ute Harms. (2014). Content-Related Knowledge of Biology Teachers from Secondary Schools: Structure and learning opportunities. International Journal of Science Education. 36(14). 2335–2366. 51 indexed citations
14.
Kleickmann, Thilo, Jörg Großschedl, Ute Harms, et al.. (2014). Professionswissen von Lehramtsstudierenden der mathematisch-naturwissenschaftlichen Fächer - Testentwicklung im Rahmen des Projekts KiL. 13 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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