Daniel Thurm

414 total citations
17 papers, 208 citations indexed

About

Daniel Thurm is a scholar working on Education, Information Systems and Gender Studies. According to data from OpenAlex, Daniel Thurm has authored 17 papers receiving a total of 208 indexed citations (citations by other indexed papers that have themselves been cited), including 16 papers in Education, 3 papers in Information Systems and 3 papers in Gender Studies. Recurrent topics in Daniel Thurm's work include Mathematics Education and Teaching Techniques (7 papers), Education and Technology Integration (5 papers) and Education Methods and Technologies (4 papers). Daniel Thurm is often cited by papers focused on Mathematics Education and Teaching Techniques (7 papers), Education and Technology Integration (5 papers) and Education Methods and Technologies (4 papers). Daniel Thurm collaborates with scholars based in Germany, Australia and United Kingdom. Daniel Thurm's co-authors include Bärbel Barzel, Paul Drijvers, Ellen Vandervieren, Michiel Doorman, Lianghuo Fan, Eirini Geraniou, Uffe Thomas Jankvist, Vicki Steinle, Ana Isabel Sacristán and Lynda Ball and has published in prestigious journals such as Educational Studies in Mathematics, ZDM and Frontiers in Education.

In The Last Decade

Daniel Thurm

12 papers receiving 193 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Daniel Thurm Germany 6 164 57 45 33 28 17 208
Védaste Mutarutinya Rwanda 10 180 1.1× 60 1.1× 40 0.9× 19 0.6× 24 0.9× 29 228
Nimer Baya’a Israel 10 183 1.1× 90 1.6× 59 1.3× 20 0.6× 50 1.8× 23 265
Gilles Aldon France 8 158 1.0× 48 0.8× 46 1.0× 8 0.2× 36 1.3× 24 217
Suzanne R. Harper United States 5 276 1.7× 71 1.2× 63 1.4× 46 1.4× 31 1.1× 14 318
Michael Meagher United States 6 159 1.0× 35 0.6× 33 0.7× 25 0.8× 12 0.4× 23 173
Jean Uwamahoro Rwanda 10 254 1.5× 45 0.8× 68 1.5× 7 0.2× 12 0.4× 25 286
Kizito Ndihokubwayo Rwanda 13 395 2.4× 68 1.2× 98 2.2× 9 0.3× 18 0.6× 43 437
Kathryn Shafer United States 4 220 1.3× 63 1.1× 44 1.0× 33 1.0× 25 0.9× 12 244
Michela Maschietto Italy 9 202 1.2× 23 0.4× 62 1.4× 10 0.3× 28 1.0× 37 264
Jayaluxmi Naidoo South Africa 10 179 1.1× 78 1.4× 33 0.7× 5 0.2× 17 0.6× 39 243

Countries citing papers authored by Daniel Thurm

Since Specialization
Citations

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

Fields of papers citing papers by Daniel Thurm

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Daniel Thurm

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

All Works

17 of 17 papers shown
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Thurm, Daniel, et al.. (2024). Professional development for teaching mathematics with technology: a comparative study of facilitators’ beliefs and practices in China and Germany. Educational Studies in Mathematics. 115(2). 247–269. 9 indexed citations
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Thurm, Daniel, et al.. (2024). Schulbücher und digitale Lernplattformen: Eine vergleichende Analyse von Aufgaben hinsichtlich kognitiver Aktivierung und Visualisierungen. Journal für Mathematik-Didaktik. 45(1). 1 indexed citations
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Thurm, Daniel, Eirini Geraniou, & Uffe Thomas Jankvist. (2024). Unpacking teacher beliefs about mathematical digital competency. 5 indexed citations
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Thurm, Daniel, et al.. (2022). Digitale Mathematik-Lernplattformen in Deutschland. 3 indexed citations
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Drijvers, Paul, et al.. (2021). Distance mathematics teaching in Flanders, Germany, and the Netherlands during COVID-19 lockdown. Educational Studies in Mathematics. 108(1-2). 35–64. 45 indexed citations
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Thurm, Daniel & Bärbel Barzel. (2021). Teaching mathematics with technology: a multidimensional analysis of teacher beliefs. Educational Studies in Mathematics. 109(1). 41–63. 45 indexed citations
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Thurm, Daniel. (2020). Scales for measuring teacher beliefs in the context of teaching mathematics with technology. DuEPublico (University of Duisburg-Essen). 4 indexed citations
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Thurm, Daniel. (2019). Digitale Werkzeuge im Mathematikunterricht integrieren. 5 indexed citations
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Thurm, Daniel, et al.. (2017). How to professionalize teachers to use technology in a meaningful way – Design research of a CPD program. DuEPublico (University of Duisburg-Essen). 3 indexed citations
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Thurm, Daniel, et al.. (2015). Rahmenbedingungen und Wirksamkeit einer DZLM- Fortbildungsreihe zum GTR auf Lehrer- und Unterrichtsebene. Technische Universität Dortmund Eldorado (Technische Universität Dortmund). 1 indexed citations
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Thurm, Daniel, et al.. (2015). Evaluation der Rahmenbedingungen und Wirksamkeit einer DZLM-Fortbildungsreihe zum GTR auf Schülerebene. Technische Universität Dortmund Eldorado (Technische Universität Dortmund). 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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