Carsten Ullrich

2.9k citations
88 papers · 852 · h-index 16

Impact in

Papers in

Carsten Ullrich

73 papers receiving 709 citations

Peers

Carsten Ullrich
Comparison fields: 5 of 92
  • Computer Science Applications 246
  • Communication 78
  • Information Systems 243
  • Developmental and Educational Psychology 132
  • Artificial Intelligence 256
Replace Ștefan Trăușan-Matu with:
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Citations per field
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Citations per year

Countries citing papers authored by Carsten Ullrich

Since Specialization
Citations

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

Fields of papers citing papers by Carsten Ullrich

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 88 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2008138
2 200859
3 199948
4 201045
5 201035
6 200634
7 200834
8
The Learning-Resource-Type is Dead, Long Live the Learning-Resource-Type!
200534
9
Course Generation Based on HTN Planning
200531
10
Description of an Instructional Ontology and its Application in Web Services for Education
200429
11 200328
12 200826
13 201723
14 201419
15 200817
16 201116
17 201515
18
Complex Course Generation Adapted to Pedagogical Scenarios and its Evaluation
201012
19
May I suggest? Comparing three PLE recommender strategies
201111
20
An Instructional Component for Dynamic Course Generation and Delivery.
200310

About Carsten Ullrich

Carsten Ullrich is a scholar working on Artificial Intelligence, Sociology and Political Science, Computer Science Applications, Political Science and International Relations and General Health Professions, having authored 88 papers that have together received 852 indexed citations. Recurring topics across this work include Innovative Teaching and Learning Methods (12 papers), Open Education and E-Learning (11 papers), Sociology and Education Studies (11 papers), Social Policy and Reform Studies (11 papers), Semantic Web and Ontologies (10 papers), Intelligent Tutoring Systems and Adaptive Learning (10 papers), Online Learning and Analytics (7 papers) and Social and Demographic Issues in Germany (6 papers). The work is most often cited by research in Computer Science Applications (246 citations), Communication (78 citations), Information Systems (243 citations), Developmental and Educational Psychology (132 citations) and Artificial Intelligence (256 citations). Carsten Ullrich has collaborated with scholars based in Germany, China and United States. Frequent co-authors include Ruimin Shen, Erica Melis⋆, Kerstin Borau, Xiaohong Tan, Heng Luo, Daniela Schiek, Heng Luo, Paul Libbrecht, George Goguadze and Heng Luo. Their work appears in journals such as Zeitschrift für Soziologie, KZfSS Kölner Zeitschrift für Soziologie und Sozialpsychologie, Educational Technology & Society, British Journal of Educational Technology and Machine Learning.

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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