Philipp Bitzenbauer
Impact in
- Health Informatics top 2%
- Artificial Intelligence in Healthcare and Education
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- Educational Strategies and Epistemologies
Papers in
- Education 42
- Science Education and Pedagogy 32
- Mathematics Education and Teaching Techniques 10
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- Educational Strategies and Epistemologies 20
- Innovative Teaching and Learning Methods 6
- Co-authors
- Malte S. Ubben (13 shared papers)Jan-Peter Meyn (6 shared papers)Rainer Müller (2 shared papers)Marisa Michelini (3 shared papers)Christoph Kulgemeyer (2 shared papers)Jochen Kühn (1 shared paper)Stefan Heusler (1 shared paper)Stefan Küchemann (1 shared paper)
In The Last Decade
Philipp Bitzenbauer
44 papers receiving 497 citations
Philipp Bitzenbauer's Hit Papers
Peers
Comparison fields: 5 of 56
- Health Informatics 61
- Developmental and Educational Psychology 174
- Computer Science Applications 67
- Education 287
- Theoretical Computer Science 5
Countries citing papers authored by Philipp Bitzenbauer
This map shows the geographic impact of Philipp Bitzenbauer'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 Philipp Bitzenbauer with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Philipp Bitzenbauer more than expected).
Fields of papers citing papers by Philipp Bitzenbauer
This network shows the impact of papers produced by Philipp Bitzenbauer. 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 Philipp Bitzenbauer. The network helps show where Philipp Bitzenbauer may publish in the future.
Co-authors
The 10 scholars most cited alongside Philipp Bitzenbauer, 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 51 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | ChatGPT in physics education: A pilot study on easy-to-implement activities Hit paper breakdown → | 2023 | 113 |
| 2 | 2023 | 42 | |
| 3 | 2020 | 32 | |
| 4 | 2021 | 28 | |
| 5 | 2021 | 28 | |
| 6 | 2021 | 17 | |
| 7 | 2022 | 15 | |
| 8 | 2022 | 15 | |
| 9 | 2022 | 14 | |
| 10 | 2024 | 14 | |
| 11 | 2022 | 14 | |
| 12 | 2023 | 11 | |
| 13 | 2020 | 10 | |
| 14 | 2024 | 10 | |
| 15 | 2022 | 9 | |
| 16 | 2022 | 9 | |
| 17 | 2023 | 9 | |
| 18 | 2020 | 8 | |
| 19 | 2021 | 8 | |
| 20 | 2022 | 8 |
About Philipp Bitzenbauer
Philipp Bitzenbauer is a scholar working on Education, Developmental and Educational Psychology, Experimental and Cognitive Psychology, Social Psychology and Statistics and Probability, having authored 51 papers that have together received 509 indexed citations. Recurring topics across this work include Science Education and Pedagogy (32 papers), Educational Strategies and Epistemologies (20 papers), Mathematics Education and Teaching Techniques (10 papers), Visual and Cognitive Learning Processes (7 papers), Innovative Teaching and Learning Methods (6 papers), Animal and Plant Science Education (4 papers), Experimental Learning in Engineering (4 papers) and Quantum Mechanics and Applications (4 papers). The work is most often cited by research in Health Informatics (61 citations), Developmental and Educational Psychology (174 citations), Computer Science Applications (67 citations), Education (287 citations) and Theoretical Computer Science (5 citations). Philipp Bitzenbauer has collaborated with scholars based in Germany, Hungary and Czechia. Frequent co-authors include Malte S. Ubben, Jan-Peter Meyn, Rainer Müller, Marisa Michelini, Christoph Kulgemeyer, Jochen Kühn, Stefan Heusler, Stefan Küchemann, Gesche Pospiech and A.A. Bauer. Their work appears in journals such as Physical Review Physics Education Research, EPJ Quantum Technology, Research in Science Education, International Journal of Science and Mathematics Education and Contemporary Educational Technology.
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.