Рита Стеблер

643 citations
20 papers · 369 · h-index 6

Impact in

Papers in

Рита Стеблер

17 papers receiving 327 citations

Peers

Рита Стеблер
Comparison fields: 5 of 46
  • Statistics and Probability 130
  • Developmental and Educational Psychology 136
  • Education 281
  • Computer Science Applications 28
  • Experimental and Cognitive Psychology 38
Replace Edna O. Schack with:
Edna O. Schack United States
Francesca Morselli Italy
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Benjamin Rott Germany
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Рита Стеблер relative to Edna O. Schack United States Edna O. Schack's profile →
Citations per field
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Citations per year

Countries citing papers authored by Рита Стеблер

Since Specialization
Citations

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

Fields of papers citing papers by Рита Стеблер

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 11 scholars most cited alongside Рита Стеблер, 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 Рита Стеблер Line = papers co-authored together Рита Стеблер links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown
#Work
1 1997161
2 2018101
3 202240
4 201317
5 201415
6 202112
7 20215
8 20234
9 20004
10 20172
11 20002
12 20231
13 20131
14 20211
15 20221
16 20171
17 20191
18 20180
19 20100
20
Schlussbericht Evaluation «Zweisprachiger Ausbildungsgang an Mittelschulen»
20050

About Рита Стеблер

Рита Стеблер is a scholar working on Education, Developmental and Educational Psychology, Statistics and Probability, Sociology and Political Science and Information Systems and Management, having authored 20 papers that have together received 369 indexed citations. Recurring topics across this work include Mathematics Education and Teaching Techniques (7 papers), Innovative Teaching and Learning Methods (6 papers), Education Methods and Technologies (5 papers), Cognitive and developmental aspects of mathematical skills (5 papers), Educational Assessment and Improvement (4 papers), Linguistic Education and Pedagogy (3 papers), Sociology and Education Studies (2 papers) and Children's Physical and Motor Development (2 papers). The work is most often cited by research in Statistics and Probability (130 citations), Developmental and Educational Psychology (136 citations), Education (281 citations), Computer Science Applications (28 citations) and Experimental and Cognitive Psychology (38 citations). Рита Стеблер has collaborated with scholars based in Switzerland and Germany. Frequent co-authors include Kurt Reusser, Bernhard Hauser, Franziska Vogt, Christine Pauli, Dominik Petko, Irene Wolf, Urs Grob, Johanna Neubrand, Michael Neubrand and Katharina Maag Merki. Their work appears in journals such as European Early Childhood Education Research Journal, The Journal of Educational Research, International Journal of Educational Research Open, Learning and Instruction and Journal für Mathematik-Didaktik.

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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