Markus Vogel

804 citations
48 papers · 466 · h-index 12

Impact in

Papers in

    • Statistics Education and Methodologies 17
    • Cognitive and developmental aspects of mathematical skills 5
    • Mathematics Education and Teaching Techniques 10
    • Education Methods and Technologies 5

Markus Vogel

45 papers receiving 444 citations

Peers

Markus Vogel
Comparison fields: 5 of 83
  • Statistics and Probability 101
  • Experimental and Cognitive Psychology 105
  • General Decision Sciences 14
  • Education 113
  • Family Practice 8
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Russell Revlin United States
Anna N. Rafferty United States
Jeffrey Nunemacher United States
Ruth Chabay United States
James R. Newman United States
Philipp Bitzenbauer Germany
Charles Taylor United Kingdom
Daniel R. Cavagnaro United States
Uli Sauerland Germany
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Citations per field
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Citations per year

Countries citing papers authored by Markus Vogel

Since Specialization
Citations

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

Fields of papers citing papers by Markus Vogel

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 48 papers — load more, or switch the sort, to bring in the rest.

#Work
1 201270
2 200354
3 201847
4 201338
5 201127
6 202019
7 202019
8 201116
9 200613
10 202213
11 202213
12 201211
13 200111
14 20179
15 20069
16 20179
17 20238
18 20237
19 20126
20 20186

About Markus Vogel

Markus Vogel is a scholar working on Statistics and Probability, Education, Experimental and Cognitive Psychology, Artificial Intelligence and Sociology and Political Science, having authored 48 papers that have together received 466 indexed citations. Recurring topics across this work include Statistics Education and Methodologies (17 papers), Mathematics Education and Teaching Techniques (10 papers), Visual and Cognitive Learning Processes (8 papers), Cognitive and developmental aspects of mathematical skills (5 papers), Education Methods and Technologies (5 papers), Advanced Text Analysis Techniques (5 papers), Sociology and Education Studies (3 papers) and Data Visualization and Analytics (3 papers). The work is most often cited by research in Statistics and Probability (101 citations), Experimental and Cognitive Psychology (105 citations), General Decision Sciences (14 citations), Education (113 citations) and Family Practice (8 citations). Markus Vogel has collaborated with scholars based in Germany, United States and United Kingdom. Frequent co-authors include A. Eichler, Sarah Malone, Roland Brünken, K. Karraï, Matthias Ziegler, Markus Bühner, Tobias Dörfler, Seth M. Rubin, Brietta L. Pike and Nicole Hustedt. Their work appears in journals such as Frontiers in Psychology, Educational Studies in Mathematics, Applied Physics Letters, Learning and Instruction and International Journal of STEM Education.

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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