Marc Berges
Impact in
-
- Teaching and Learning Programming
- Online Learning and Analytics
-
- Educational Games and Gamification
- Innovative Teaching and Learning Methods
Papers in
-
- Teaching and Learning Programming 24
- Online Learning and Analytics 10
-
- Educational Games and Gamification 6
- Innovative Teaching and Learning Methods 5
- Co-authors
- Peter Hubwieser (19 shared papers)Aman Yadav (5 shared papers)Johannes Magenheim (5 shared papers)Andreas Mühling (4 shared papers)Ira Diethelm (1 shared paper)Michail N. Giannakos (1 shared paper)Torsten Brinda (1 shared paper)Jana Jacková (1 shared paper)
- Journals
- Education and Information Technologies (1 paper)ACM Transactions on Computing Education (1 paper)Peabody Journal of Education (1 paper)Journal of Computer Assisted Learning (1 paper)KI - Künstliche Intelligenz (1 paper)
- Partner nations
- GermanyUnited StatesNetherlands
In The Last Decade
Marc Berges
31 papers receiving 392 citations
Peers
Comparison fields: 5 of 50
- Computer Science Applications 328
- Developmental and Educational Psychology 136
- Software 32
- Gender Studies 60
- Information Systems 102
Countries citing papers authored by Marc Berges
This map shows the geographic impact of Marc Berges'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 Marc Berges with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Marc Berges more than expected).
Fields of papers citing papers by Marc Berges
This network shows the impact of papers produced by Marc Berges. 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 Marc Berges. The network helps show where Marc Berges may publish in the future.
Co-authors
The 25 scholars most cited alongside Marc Berges, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 33 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2015 | 98 | |
| 2 | 2019 | 38 | |
| 3 | 2020 | 36 | |
| 4 | 2016 | 25 | |
| 5 | 2016 | 22 | |
| 6 | 2015 | 22 | |
| 7 | 2015 | 20 | |
| 8 | 2013 | 19 | |
| 9 | 2022 | 16 | |
| 10 | 2015 | 16 | |
| 11 | 2015 | 15 | |
| 12 | 2013 | 13 | |
| 13 | 2016 | 9 | |
| 14 | 2012 | 9 | |
| 15 | 2015 | 8 | |
| 16 | 2011 | 8 | |
| 17 | 2017 | 7 | |
| 18 | 2018 | 6 | |
| 19 | 2013 | 5 | |
| 20 | 2017 | 4 |
About Marc Berges
Marc Berges is a scholar working on Computer Science Applications, Developmental and Educational Psychology, Information Systems, Education and Artificial Intelligence, having authored 33 papers that have together received 412 indexed citations. Recurring topics across this work include Teaching and Learning Programming (24 papers), Online Learning and Analytics (10 papers), Educational Games and Gamification (6 papers), Education Methods and Technologies (5 papers), Innovative Teaching and Learning Methods (5 papers), Software Testing and Debugging Techniques (4 papers), Software Engineering Research (4 papers) and Gender and Technology in Education (4 papers). The work is most often cited by research in Computer Science Applications (328 citations), Developmental and Educational Psychology (136 citations), Software (32 citations), Gender Studies (60 citations) and Information Systems (102 citations). Marc Berges has collaborated with scholars based in Germany, United States and Netherlands. Frequent co-authors include Peter Hubwieser, Aman Yadav, Johannes Magenheim, Andreas Mühling, Ira Diethelm, Michail N. Giannakos, Torsten Brinda, Jana Jacková, Sigrid Schubert and Niclas Schaper. Their work appears in journals such as Education and Information Technologies, ACM Transactions on Computing Education, Peabody Journal of Education, Journal of Computer Assisted Learning and KI - Künstliche Intelligenz.
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.