Elisabeth Bauer

522 total citations
18 papers, 232 citations indexed

About

Elisabeth Bauer is a scholar working on Education, Developmental and Educational Psychology and Family Practice. According to data from OpenAlex, Elisabeth Bauer has authored 18 papers receiving a total of 232 indexed citations (citations by other indexed papers that have themselves been cited), including 9 papers in Education, 9 papers in Developmental and Educational Psychology and 6 papers in Family Practice. Recurrent topics in Elisabeth Bauer's work include Clinical Reasoning and Diagnostic Skills (6 papers), Intelligent Tutoring Systems and Adaptive Learning (5 papers) and Innovative Teaching and Learning Methods (5 papers). Elisabeth Bauer is often cited by papers focused on Clinical Reasoning and Diagnostic Skills (6 papers), Intelligent Tutoring Systems and Adaptive Learning (5 papers) and Innovative Teaching and Learning Methods (5 papers). Elisabeth Bauer collaborates with scholars based in Germany, United States and Austria. Elisabeth Bauer's co-authors include Frank Fischer, Michael Sailer, Martin R. Fischer, Jan Kiesewetter, Ingo Kollar, Markus Dresel, Iryna Gurevych, Riikka Hofmann, Samuel Greiff and Jan Zottmann and has published in prestigious journals such as Journal of Neurochemistry, Computers in Human Behavior and Frontiers in Psychology.

In The Last Decade

Elisabeth Bauer

18 papers receiving 223 citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Elisabeth Bauer Germany 7 81 75 65 64 30 18 232
Shiva Hajian Canada 5 86 1.1× 72 1.0× 60 0.9× 62 1.0× 37 1.2× 11 239
Ruan Carvalho Brazil 3 116 1.4× 58 0.8× 99 1.5× 55 0.9× 19 0.6× 4 242
Youngsun Moon South Korea 6 57 0.7× 85 1.1× 85 1.3× 67 1.0× 46 1.5× 11 228
Waverly Tseng United States 5 105 1.3× 150 2.0× 76 1.2× 72 1.1× 108 3.6× 6 348
Marjan Ghazi Saeedi Iran 4 149 1.8× 162 2.2× 41 0.6× 82 1.3× 24 0.8× 10 319
Jacob Steiss United States 5 52 0.6× 74 1.0× 65 1.0× 42 0.7× 44 1.5× 8 185
Paul Toprac United States 6 41 0.5× 26 0.3× 94 1.4× 87 1.4× 5 0.2× 12 248
Chang Lu Canada 8 180 2.2× 40 0.5× 66 1.0× 82 1.3× 7 0.2× 27 301
Allen A. Rovick United States 10 57 0.7× 259 3.5× 43 0.7× 157 2.5× 4 0.1× 15 329
Darwin Darwin Indonesia 3 93 1.1× 114 1.5× 90 1.4× 39 0.6× 83 2.8× 8 308

Countries citing papers authored by Elisabeth Bauer

Since Specialization
Citations

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

Fields of papers citing papers by Elisabeth Bauer

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Elisabeth Bauer

This figure shows the co-authorship network connecting the top 25 collaborators of Elisabeth Bauer. A scholar is included among the top collaborators of Elisabeth Bauer based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Elisabeth Bauer. Elisabeth Bauer is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

18 of 18 papers shown
1.
Bauer, Elisabeth, Michael Sailer, Frank Niklas, et al.. (2025). AI‐Based Adaptive Feedback in Simulations for Teacher Education: An Experimental Replication in the Field. Journal of Computer Assisted Learning. 41(1). 7 indexed citations
2.
Fitzgerald, Julia C., et al.. (2025). Interactions of Oligodendrocyte Precursor Cells and Dopaminergic Neurons in the Mouse Substantia Nigra. Journal of Neurochemistry. 169(1). e16298–e16298. 2 indexed citations
3.
Bauer, Elisabeth, et al.. (2025). Effects of AI ‐generated adaptive feedback on statistical skills and interest in statistics: A field experiment in higher education. British Journal of Educational Technology. 56(5). 1735–1757. 3 indexed citations
4.
Bauer, Elisabeth, et al.. (2025). Looking Beyond the Hype: Understanding the Effects of AI on Learning. Educational Psychology Review. 37(2). 13 indexed citations
5.
Sommerhoff, Daniel, et al.. (2024). Effects of real-time adaptivity of scaffolding: Supporting pre-service mathematics teachers’ assessment skills in simulations. Learning and Instruction. 94. 101994–101994. 2 indexed citations
6.
Sailer, Michael, et al.. (2024). Promoting diagnostic reasoning in teacher education: the role of case format and perceived authenticity. European Journal of Psychology of Education. 39(4). 3227–3252. 2 indexed citations
8.
Sailer, Michael, Manuel Ninaus, Stefan E. Huber, Elisabeth Bauer, & Samuel Greiff. (2024). The End is the Beginning is the End: The closed-loop learning analytics framework. Computers in Human Behavior. 158. 108305–108305. 15 indexed citations
9.
Bauer, Elisabeth, et al.. (2023). Using natural language processing to support peer‐feedback in the age of artificial intelligence: A cross‐disciplinary framework and a research agenda. British Journal of Educational Technology. 54(5). 1222–1245. 64 indexed citations
10.
Bauer, Elisabeth, Michael Sailer, Jan Kiesewetter, et al.. (2023). Facilitating justification, disconfirmation, and transparency in diagnostic argumentation. Zeitschrift für Pädagogische Psychologie. 38(1-2). 49–54. 1 indexed citations
11.
Sailer, Michael, Elisabeth Bauer, Riikka Hofmann, et al.. (2022). Adaptive feedback from artificial neural networks facilitates pre-service teachers’ diagnostic reasoning in simulation-based learning. Learning and Instruction. 83. 101620–101620. 51 indexed citations
12.
Kiesewetter, Jan, Inga Hege, Michael Sailer, et al.. (2022). Implementing Remote Collaboration in a Virtual Patient Platform: Usability Study. JMIR Medical Education. 8(3). e24306–e24306. 2 indexed citations
13.
Bauer, Elisabeth, Nicole Heitzmann, & Frank Fischer. (2022). Simulation-based learning in higher education and professional training: Approximations of practice through representational scaffolding. Studies In Educational Evaluation. 75. 101213–101213. 6 indexed citations
14.
Bauer, Elisabeth, Michael Sailer, Jan Kiesewetter, Martin R. Fischer, & Frank Fischer. (2022). Diagnostic argumentation in teacher education: Making the case for justification, disconfirmation, and transparency. Frontiers in Education. 7. 5 indexed citations
15.
Kiesewetter, Jan, Michael Sailer, Elisabeth Bauer, et al.. (2020). Learning clinical reasoning: how virtual patient case format and prior knowledge interact. BMC Medical Education. 20(1). 73–73. 35 indexed citations
16.
Bauer, Elisabeth, Frank Fischer, Jan Kiesewetter, et al.. (2020). Diagnostic Activities and Diagnostic Practices in Medical Education and Teacher Education: An Interdisciplinary Comparison. Frontiers in Psychology. 11. 562665–562665. 13 indexed citations
17.
Fink, Maximilian C., Elisabeth Bauer, Michael Sailer, et al.. (2020). Simulation research and design: a dual-level framework for multi-project research programs. Educational Technology Research and Development. 69(2). 809–841. 6 indexed citations
18.
Bauer, Elisabeth, et al.. (2018). Operations Security Evaluation of IaaS-Cloud Backend for Industry 4.0. Zenodo (CERN European Organization for Nuclear Research). 392–399. 1 indexed citations

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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