Cornelia S. Große

891 citations
28 papers · 570 · h-index 8

Impact in

Papers in

Cornelia S. Große

21 papers receiving 520 citations

Peers

Cornelia S. Große
Comparison fields: 5 of 64
  • Developmental and Educational Psychology 338
  • Experimental and Cognitive Psychology 291
  • Computer Science Applications 72
  • Statistics and Probability 83
  • Education 286
Replace Katharina Loibl with:
Katharina Loibl Germany
Ron Salden United States
NarayanKripa Sundararajan United States
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Gemma Corbalan Netherlands
Andreas Obersteiner Germany
Katherine L. McEldoon United States
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Citations per field
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Citations per year

Countries citing papers authored by Cornelia S. Große

Since Specialization
Citations

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

Fields of papers citing papers by Cornelia S. Große

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Cornelia S. Große. 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 Cornelia S. Große. The network helps show where Cornelia S. Große may publish in the future.

Co-authors

The 15 scholars most cited alongside Cornelia S. Große, 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 Cornelia S. Große Line = papers co-authored together Cornelia S. Große links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 28 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2007220
2 2004157
3 200691
4 201618
5 201413
6 201511
7 20149
8 20198
9 20187
10 20146
11
Effects of Multiple Choice Options in Mathematics Learning.
20175
12 20195
13 20224
14 20233
15 20223
16 20242
17 20232
18 20172
19 20231
20 20251

About Cornelia S. Große

Cornelia S. Große is a scholar working on Developmental and Educational Psychology, Education, Experimental and Cognitive Psychology, Social Psychology and Computer Science Applications, having authored 28 papers that have together received 570 indexed citations. Recurring topics across this work include Innovative Teaching and Learning Methods (11 papers), Visual and Cognitive Learning Processes (8 papers), Mathematics Education and Teaching Techniques (5 papers), Cognitive and developmental aspects of mathematical skills (4 papers), Grit, Self-Efficacy, and Motivation (3 papers), Educational Games and Gamification (3 papers), Gender and Technology in Education (3 papers) and Online and Blended Learning (3 papers). The work is most often cited by research in Developmental and Educational Psychology (338 citations), Experimental and Cognitive Psychology (291 citations), Computer Science Applications (72 citations), Statistics and Probability (83 citations) and Education (286 citations). Cornelia S. Große has collaborated with scholars based in Germany, Austria and United States. Frequent co-authors include Alexander Renkl, Robert K. Atkinson, Rolf Drechsler, Serge Autexier, Christoph Helm, Stefan Kulakow, Martin Mayerhofer, Branko Anđić, Robert Weinhandl and Frances Hoferichter. Their work appears in journals such as Learning and Instruction, European Journal of Psychology of Education, Instructional Science, Computers in Human Behavior and Education and Information Technologies.

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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