Mogens Niss

4.8k citations
52 papers · 2.0k · h-index 21

Impact in

Papers in

    • Mathematics Education and Teaching Techniques 25
    • Social and Educational Sciences 5
    • Cognitive and developmental aspects of mathematical skills 9
    • Statistics Education and Methodologies 4

Mogens Niss

48 papers receiving 1.8k citations

Peers

Mogens Niss
Comparison fields: 5 of 82
  • Theoretical Computer Science 79
  • Statistics and Probability 543
  • Education 1.6k
  • Developmental and Educational Psychology 510
  • Computer Science Applications 178
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Citations per field
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Citations per year

Countries citing papers authored by Mogens Niss

Since Specialization
Citations

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

Fields of papers citing papers by Mogens Niss

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Mogens Niss, 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 Mogens Niss Line = papers co-authored together Mogens Niss links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 52 papers — load more, or switch the sort, to bring in the rest.

#Work
1 1991405
2
MATHEMATICAL COMPETENCIES AND THE LEARNING OF MATHEMATICS: THE DANISH KOM PROJECT
2003237
3 2007190
4 2019149
5 2001145
6 2020104
7
Competencies and Mathematical Learning: Ideas and inspiration for the development of mathematics teaching and learning in Denmark
201192
8 199979
9 201856
10 202152
11 199350
12
Reflections on the State of and Trends in Research on Mathematics Teaching and Learning: From Here to Utopia
200744
13
Kompetencer og matematiklæring: ideer og inspiration til udvikling af matematikundervisning i Danmark
200239
14 201638
15 198731
16 201930
17 201728
18 201524
19 199323
20 201822

About Mogens Niss

Mogens Niss is a scholar working on Education, Statistics and Probability, Social Psychology, Developmental and Educational Psychology and Information Systems and Management, having authored 52 papers that have together received 2.0k indexed citations. Recurring topics across this work include Mathematics Education and Teaching Techniques (25 papers), Cognitive and developmental aspects of mathematical skills (9 papers), Education, Healthcare and Sociology Research (6 papers), Social and Educational Sciences (5 papers), Statistics Education and Methodologies (4 papers), Innovative Teaching and Learning Methods (3 papers), Mathematics Education and Programs (2 papers) and Educational Assessment and Improvement (2 papers). The work is most often cited by research in Theoretical Computer Science (79 citations), Statistics and Probability (543 citations), Education (1.6k citations), Developmental and Educational Psychology (510 citations) and Computer Science Applications (178 citations). Mogens Niss has collaborated with scholars based in Denmark, Germany and Australia. Frequent co-authors include Werner Blum, Tomas Højgaard, Peter Galbraith, Hans-Wolfgang Henn, Uffe Thomas Jankvist, Alan H. Schoenfeld, Joel Hillel, Michèle Artigue, Vince Geiger and Ole Skovsmose. Their work appears in journals such as Educational Studies in Mathematics, ZDM, Mathematics Education Research Journal, The Journal of Mathematical Behavior and International Journal of Mathematical Education in Science and Technology.

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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