Markus Ebner

37 papers receiving 318 citations

Peers

Markus Ebner
Comparison fields: 5 of 60
  • Computer Science Applications 80
  • General Dentistry 4
  • Information Systems 98
  • Education 137
  • Human-Computer Interaction 28
Replace Gloria Yi‐Ming Kao with:
Gloria Yi‐Ming Kao Taiwan
Liang‐Yi Li Taiwan
Fabio Campos United States
Ricardo Torres Kompen Spain
Sebastián Gómez Jaramillo Colombia
Zilong Pan United States
Maxine S. Cohen United States
Christian Glahn Netherlands
Joni Lämsä Finland
Nataša Hoić-Božić Croatia
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Citations per field
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Gloria Yi‐Ming Kao · 1×
Citations per year

Countries citing papers authored by Markus Ebner

Since Specialization
Citations

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

Fields of papers citing papers by Markus Ebner

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 42 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2020121
2 201938
3 202022
4 202019
5 202013
6 201911
7 202011
8 202210
9 20209
10 20249
11 20208
12 20096
13 20176
14 20206
15
Improved German Spelling Acquisition through Learning Analytics
20155
16 20165
17 20195
18 20205
19 20225
20 20184

About Markus Ebner

Markus Ebner is a scholar working on Computer Science Applications, Information Systems, Education, Artificial Intelligence and Human-Computer Interaction, having authored 42 papers that have together received 358 indexed citations. Recurring topics across this work include Online Learning and Analytics (10 papers), Educational Innovations and Challenges (6 papers), Intelligent Tutoring Systems and Adaptive Learning (5 papers), Augmented Reality Applications (5 papers), Virtual Reality Applications and Impacts (3 papers), AI in Service Interactions (3 papers), Educational Technology in Learning (2 papers) and Artificial Intelligence in Education (2 papers). The work is most often cited by research in Computer Science Applications (80 citations), General Dentistry (4 citations), Information Systems (98 citations), Education (137 citations) and Human-Computer Interaction (28 citations). Markus Ebner has collaborated with scholars based in Austria, Germany and United States. Frequent co-authors include Martin Ebner, Philipp Leitner, Sandra Schön, Behnam Taraghi, Dominic Orr, Jan Schmidt, Markus Friedl, Elouise Botes, Hermann Frank and Denis Kalkofen. Their work appears in journals such as International Journal of Emerging Technologies in Learning (iJET), Future Internet, Teaching and Teacher Education, International Journal of Interactive Mobile Technologies (iJIM) and Lecture notes in computer science.

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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