Katja Maaß

2.5k total citations · 1 hit paper
28 papers, 1.3k citations indexed

About

Katja Maaß is a scholar working on Education, Developmental and Educational Psychology and Information Systems and Management. According to data from OpenAlex, Katja Maaß has authored 28 papers receiving a total of 1.3k indexed citations (citations by other indexed papers that have themselves been cited), including 24 papers in Education, 12 papers in Developmental and Educational Psychology and 4 papers in Information Systems and Management. Recurrent topics in Katja Maaß's work include Mathematics Education and Teaching Techniques (11 papers), Science Education and Pedagogy (10 papers) and Innovative Teaching and Learning Methods (9 papers). Katja Maaß is often cited by papers focused on Mathematics Education and Teaching Techniques (11 papers), Science Education and Pedagogy (10 papers) and Innovative Teaching and Learning Methods (9 papers). Katja Maaß collaborates with scholars based in Germany, Netherlands and Austria. Katja Maaß's co-authors include Michèle Artigue, Marta Romero Ariza, Merrilyn Goos, Vince Geiger, Michiel Doorman, Christoph Mischo, Manfred Euler, Jack Gauldie, Kjetil Ask and Peter J. Margetts and has published in prestigious journals such as The International Journal of Biochemistry & Cell Biology, Educational Studies in Mathematics and ZDM.

In The Last Decade

Katja Maaß

28 papers receiving 1.2k citations

Hit Papers

The Role of Mathematics in interdisciplinary STEM education 2019 2026 2021 2023 2019 50 100 150
What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

  1. The Role of Mathematics in interdisciplinary STEM education
    2019 181 citations Katja Maaß, Vince Geiger et al. ZDM profile →

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Katja Maaß Germany 16 922 335 183 108 96 28 1.3k
́Àngel Alsina Spain 18 905 1.0× 212 0.6× 342 1.9× 267 2.5× 52 0.5× 238 1.4k
Patrick Gonzales United States 11 753 0.8× 242 0.7× 174 1.0× 27 0.3× 26 0.3× 24 1.2k
David Slavit United States 19 854 0.9× 290 0.9× 110 0.6× 57 0.5× 32 0.3× 46 1.1k
Paul Andrews United Kingdom 17 585 0.6× 115 0.3× 199 1.1× 22 0.2× 64 0.7× 88 871
Ji Y. Son United States 19 598 0.6× 646 1.9× 304 1.7× 61 0.6× 33 0.3× 58 1.5k
Michelle M. Neumann Australia 25 1.4k 1.6× 500 1.5× 160 0.9× 539 5.0× 11 0.1× 74 2.0k
Pratim Sengupta United States 20 458 0.5× 778 2.3× 25 0.1× 119 1.1× 14 0.1× 88 1.6k
Nam Ju Kim South Korea 17 482 0.5× 423 1.3× 16 0.1× 168 1.6× 19 0.2× 75 1.3k
Martin A. Simon United States 27 3.0k 3.3× 707 2.1× 1.6k 8.8× 121 1.1× 368 3.8× 97 3.4k
John Kendall United Kingdom 9 458 0.5× 105 0.3× 15 0.1× 73 0.7× 15 0.2× 72 766

Countries citing papers authored by Katja Maaß

Since Specialization
Citations

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

Fields of papers citing papers by Katja Maaß

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Katja Maaß

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

All Works

20 of 20 papers shown
1.
Zehetmeier, Stefan, et al.. (2024). Mathematical Modelling Abilities of Artificial Intelligence Tools: The Case of ChatGPT. Education Sciences. 14(7). 698–698. 7 indexed citations
2.
Doorman, Michiel, et al.. (2023). Supporting mathematics and science teachers in implementing intercultural learning. ZDM. 55(5). 981–993. 3 indexed citations
3.
4.
Maaß, Katja, et al.. (2021). Promoting Active Citizenship in Mathematics and Science Teaching. International Journal of Science and Mathematics Education. 20(4). 727–746. 20 indexed citations
5.
Artigue, Michèle, Marianna Bosch, Michiel Doorman, et al.. (2020). Inquiry based mathematics education and the development of learning trajectories. SPIRE - Sciences Po Institutional REpository. 18(3). 63–89. 12 indexed citations
6.
Maaß, Katja, Vince Geiger, Marta Romero Ariza, & Merrilyn Goos. (2019). The Role of Mathematics in interdisciplinary STEM education. ZDM. 51(6). 869–884. 181 indexed citations breakdown →
7.
Maaß, Katja, et al.. (2019). Promoting active citizenship in mathematics teaching. ZDM. 51(6). 991–1003. 44 indexed citations
8.
Maaß, Katja, Paul Cobb, Konrad Krainer, & Despina Potari. (2019). Different ways to implement innovative teaching approaches at scale. Educational Studies in Mathematics. 102(3). 303–318. 49 indexed citations
9.
Maaß, Katja, et al.. (2019). Professional development on connections to the world of work in mathematics and science education. ZDM. 51(6). 967–978. 15 indexed citations
10.
Maaß, Katja, et al.. (2018). Impact of professional development involving modelling on teachers and their teaching. ZDM. 50(1-2). 273–285. 14 indexed citations
11.
12.
Maaß, Katja, et al.. (2017). Mathematics Teachers’ Beliefs about Inquiry-based Learning after a Professional Development Course–An International Study. Journal of Education and Training Studies. 5(9). 1–1. 6 indexed citations
13.
Maaß, Katja & Michiel Doorman. (2013). A model for a widespread implementation of inquiry-based learning. ZDM. 45(6). 887–899. 48 indexed citations
14.
15.
Mischo, Christoph & Katja Maaß. (2012). Which personal factors affect mathematical modelling? The effect of abilities, domain specific and cross domain-competences and beliefs on performance in mathematical modelling.. 1(7). 2–19. 6 indexed citations
16.
Maaß, Katja. (2011). How can teachers’ beliefs affect their professional development?. ZDM. 43(4). 573–586. 22 indexed citations
17.
Howes, Andrew, Katja Maaß, Michiel Doorman, et al.. (2011). Enhancing Mathematics and Science Learning Through Interdisciplinary Enquiry: Compass Project. Research Explorer (The University of Manchester). 1 indexed citations
18.
Maaß, Katja. (2010). Classification Scheme for Modelling Tasks. Journal für Mathematik-Didaktik. 31(2). 285–311. 99 indexed citations
19.
Ask, Kjetil, Philippe Bonniaud, Katja Maaß, et al.. (2007). Progressive pulmonary fibrosis is mediated by TGF-β isoform 1 but not TGF-β3. The International Journal of Biochemistry & Cell Biology. 40(3). 484–495. 146 indexed citations
20.
Maaß, Katja. (2006). What are modelling competencies?. ZDM. 38(2). 113–142. 290 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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