Clara Schumacher

984 citations
9 papers · 510 indexed · 1 hit paper · h-index 7
Topics
Online Learning and Analytics (9 papers)E-Learning and Knowledge Management (3 papers)Online and Blended Learning (2 papers)
Partner nations
GermanyAustraliaTürkiye

In The Last Decade

Clara Schumacher

9 papers receiving 483 citations

Hit Papers

Features students really expect from learning analytics2017202620202023201750100150

Peers

Clara Schumacher
Comparison fields: 5 of 57
  • Computer Science Applications 350
  • Education 189
  • Developmental and Educational Psychology 109
  • Artificial Intelligence 103
  • Information Systems 79
Replace Alexander Whitelock‐Wainwright with:
Alexander Whitelock‐Wainwright Australia
Lisa-Angelique Lim Australia
Erkan Er Spain
Huanhuan Wang China
Clare Baek United States
Isabel Hilliger Chile
Avinash Boroowa United Kingdom
Jiyou Jia China
Michael Pin-Chuan Lin Canada
Antonette Shibani Australia
Clara Schumacher relative to Alexander Whitelock‐Wainwright Australia Alexander Whitelock‐Wainwright's profile →
Citations per field
00.5×
Alexander Whitelock‐Wainwright · 1×
Citations per year

Countries citing papers authored by Clara Schumacher

Since Specialization
Citations

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

Fields of papers citing papers by Clara Schumacher

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Clara Schumacher

This figure shows the co-authorship network connecting the top 25 collaborators of Clara Schumacher. A scholar is included among the top collaborators of Clara Schumacher based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Clara Schumacher. Clara Schumacher is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

9 of 9 papers shown
#WorkIndexed citations
1 33
2 29
3 4
4 64
5 39
6
Why learning analytics need to care for motivational dispositions of students
4
7
Features students really expect from learning analyticsbreakdown →
190
8 9
9 138

About Clara Schumacher

Clara Schumacher is a scholar working on Computer Science Applications, Education and Developmental and Educational Psychology, having authored 9 papers that have together received 510 indexed citations. Recurring topics across this work include Online Learning and Analytics (9 papers), E-Learning and Knowledge Management (3 papers) and Online and Blended Learning (2 papers). The work is most often cited by research in Computer Science Applications (350 citations), Health Informatics (27 citations) and Developmental and Educational Psychology (109 citations). Clara Schumacher has collaborated with scholars based in Germany, Australia and Türkiye. Frequent co-authors include Dirk Ifenthaler, Jakub Kužílek and Muhittin Şahi̇n. Their work appears in journals such as Computers in Human Behavior, The Internet and Higher Education and Educational Technology Research and Development.

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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2026