Julia Zuber

693 citations
15 papers · 451 · h-index 8

Impact in

Papers in

Julia Zuber

14 papers receiving 439 citations

Peers

Julia Zuber
Comparison fields: 5 of 45
  • Statistics and Probability 377
  • Developmental and Educational Psychology 303
  • Education 334
  • Theoretical Computer Science 10
  • Cognitive Neuroscience 46
Replace Chungsoon C. Kim with:
Chungsoon C. Kim United States
Jo Towers Canada
Benjamin Clarke Thailand
Jennifer Paetsch Germany
Ian Smythe United Kingdom
Carla Sowinski Canada
Dominic J. Gibson United States
Heather Douglas Canada
Thomas B. Pierce United States
Léa Lacerenza Canada
Julia Zuber relative to Chungsoon C. Kim United States Chungsoon C. Kim's profile →
Citations per field
00.5×8.5×
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Citations per year

Countries citing papers authored by Julia Zuber

Since Specialization
Citations

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

Fields of papers citing papers by Julia Zuber

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

15 of 15 papers shown
#Work
1 2011133
2 2008114
3 201170
4 201153
5 201517
6 201817
7 200914
8 201810
9 19726
10
Effekte von Schulentwicklungsmaßnahmen auf Schüler/innenleistungen im Fach Mathematik
20155
11 20184
12 20193
13 20183
14
Veränderung elterlicher Partizipation im Schulsystem durch Bildungsstandards.
20181
15 20201

About Julia Zuber

Julia Zuber is a scholar working on Education, Developmental and Educational Psychology, Statistics and Probability, Social Psychology and Sociology and Political Science, having authored 15 papers that have together received 451 indexed citations. Recurring topics across this work include Mathematics Education and Teaching Techniques (6 papers), Cognitive and developmental aspects of mathematical skills (6 papers), Reading and Literacy Development (5 papers), Teacher Education and Leadership Studies (3 papers), Educational Assessment and Improvement (3 papers), Motivation and Self-Concept in Sports (2 papers), Sociology and Education Studies (2 papers) and Behavioral and Psychological Studies (1 paper). The work is most often cited by research in Statistics and Probability (377 citations), Developmental and Educational Psychology (303 citations), Education (334 citations), Theoretical Computer Science (10 citations) and Cognitive Neuroscience (46 citations). Julia Zuber has collaborated with scholars based in Austria, Germany and United States. Frequent co-authors include Korbinian Moeller, Silvia Pixner, Hans‐Christoph Nuerk, Liane Kaufmann, Hans-Christoph Nuerk, Barbara Stiglbauer, Herbert Altrichter, Klaus Willmes, Donald R. Brown and Marty J. Schmidt. Their work appears in journals such as Research in Developmental Disabilities, Leadership and Policy in Schools, Journal of Cross-Cultural Psychology, Frontiers in Psychology and Psychology in the Schools.

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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