Andreas Pester
Impact in
- Media Technology top 1%
- Experimental Learning in Engineering
- Engineering Education and Curriculum Development
- Architecture top 5%
- Engineering Education and Pedagogy
Papers in
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- Experimental Learning in Engineering 30
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- Artificial Intelligence in Education 3
- Software Engineering Research 3
- Co-authors
- Michael Auer (5 shared papers)Doru Ursuțiu (1 shared paper)Cornel Samoilă (1 shared paper)Thomas Scott Klinger (12 shared papers)Andreja Rojko (2 shared papers)Karel Jezernik (1 shared paper)Frédéric Andrès (7 shared papers)Javier García-Zubía (5 shared papers)
In The Last Decade
Andreas Pester
53 papers receiving 332 citations
Peers
Comparison fields: 5 of 47
- Media Technology 256
- Architecture 16
- Computer Science Applications 13
- Information Systems 32
- Computer Vision and Pattern Recognition 21
Countries citing papers authored by Andreas Pester
This map shows the geographic impact of Andreas Pester'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 Andreas Pester with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Andreas Pester more than expected).
Fields of papers citing papers by Andreas Pester
This network shows the impact of papers produced by Andreas Pester. 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 Andreas Pester. The network helps show where Andreas Pester may publish in the future.
Co-authors
The 25 scholars most cited alongside Andreas Pester, 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 64 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2004 | 73 | |
| 2 | 2016 | 31 | |
| 3 | 2011 | 16 | |
| 4 | 2018 | 15 | |
| 5 | 2018 | 13 | |
| 6 | 2019 | 12 | |
| 7 | 2017 | 11 | |
| 8 | 2020 | 11 | |
| 9 | 2018 | 10 | |
| 10 | 2019 | 10 | |
| 11 | 2023 | 10 | |
| 12 | 2014 | 9 | |
| 13 | 2015 | 9 | |
| 14 | 2020 | 9 | |
| 15 | 2018 | 8 | |
| 16 | 2019 | 7 | |
| 17 | 2005 | 6 | |
| 18 | 2018 | 6 | |
| 19 | 2019 | 6 | |
| 20 | 2008 | 5 |
About Andreas Pester
Andreas Pester is a scholar working on Media Technology, Information Systems, Computer Vision and Pattern Recognition, Architecture and Computer Science Applications, having authored 64 papers that have together received 359 indexed citations. Recurring topics across this work include Experimental Learning in Engineering (30 papers), Artificial Intelligence in Education (3 papers), Software Engineering Research (3 papers), Advanced Neural Network Applications (3 papers), Distributed and Parallel Computing Systems (2 papers), Engineering Education and Pedagogy (2 papers), Arduino and IoT Applications (2 papers) and Computational Drug Discovery Methods (2 papers). The work is most often cited by research in Media Technology (256 citations), Architecture (16 citations), Computer Science Applications (13 citations), Information Systems (32 citations) and Computer Vision and Pattern Recognition (21 citations). Andreas Pester has collaborated with scholars based in Austria, Egypt and Spain. Frequent co-authors include Michael Auer, Doru Ursuțiu, Cornel Samoilă, Thomas Scott Klinger, Andreja Rojko, Karel Jezernik, Frédéric Andrès, Javier García-Zubía, Gustavo R. Alves and Ahmed Fahli. Their work appears in journals such as IEEE Access, International Journal of Online and Biomedical Engineering (iJOE), International Journal of Computers and Applications, Algorithms 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.