Peter Wulff

716 total citations
26 papers, 379 citations indexed

About

Peter Wulff is a scholar working on Education, Artificial Intelligence and Developmental and Educational Psychology. According to data from OpenAlex, Peter Wulff has authored 26 papers receiving a total of 379 indexed citations (citations by other indexed papers that have themselves been cited), including 11 papers in Education, 8 papers in Artificial Intelligence and 4 papers in Developmental and Educational Psychology. Recurrent topics in Peter Wulff's work include Topic Modeling (5 papers), Reflective Practices in Education (4 papers) and Online Learning and Analytics (3 papers). Peter Wulff is often cited by papers focused on Topic Modeling (5 papers), Reflective Practices in Education (4 papers) and Online Learning and Analytics (3 papers). Peter Wulff collaborates with scholars based in Germany, Denmark and United Kingdom. Peter Wulff's co-authors include Andreas Borowski, Anna K. Nowak, Jochen Kühn, Stefan Küchemann, Marcus Kubsch, Andrea Westphal, Knut Neumann, Zahra Hazari, C. Christophersen and Nicole Graulich and has published in prestigious journals such as SHILAP Revista de lepidopterología, Journal of Research in Science Teaching and Journal of the Chemical Society Perkin Transactions 1.

In The Last Decade

Peter Wulff

24 papers receiving 372 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Peter Wulff Germany 13 131 106 80 62 38 26 379
Tang Wee Teo Singapore 10 293 2.2× 15 0.1× 57 0.7× 87 1.4× 44 1.2× 41 402
Colin Foster United Kingdom 13 399 3.0× 20 0.2× 48 0.6× 124 2.0× 29 0.8× 68 542
Marie‐Noëlle Lamy United Kingdom 10 187 1.4× 36 0.3× 36 0.5× 191 3.1× 45 1.2× 26 592
Marcus Kubsch Germany 12 160 1.2× 65 0.6× 67 0.8× 96 1.5× 22 0.6× 38 314
Rebecca Simmons United States 6 159 1.2× 44 0.4× 187 2.3× 193 3.1× 64 1.7× 12 469
Priit Reiska Estonia 10 338 2.6× 26 0.2× 29 0.4× 151 2.4× 48 1.3× 23 466
Roy Tasker Australia 11 374 2.9× 19 0.2× 26 0.3× 210 3.4× 90 2.4× 34 666
Jonathon Reinhardt United States 15 212 1.6× 42 0.4× 36 0.5× 258 4.2× 144 3.8× 26 849
Ozcan Gulacar United States 12 274 2.1× 20 0.2× 23 0.3× 101 1.6× 19 0.5× 38 397
William Harwood United States 13 455 3.5× 47 0.4× 18 0.2× 204 3.3× 37 1.0× 29 633

Countries citing papers authored by Peter Wulff

Since Specialization
Citations

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

Fields of papers citing papers by Peter Wulff

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Peter Wulff

This figure shows the co-authorship network connecting the top 25 collaborators of Peter Wulff. A scholar is included among the top collaborators of Peter Wulff 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 Peter Wulff. Peter Wulff is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
1.
Wulff, Peter & Marcus Kubsch. (2025). Learning against the machine: the double edged sword of (Gen)AI in STEM education. International Journal of STEM Education. 12(1). 1 indexed citations
3.
Kubsch, Marcus, et al.. (2025). Exploring the sequential structure of students’ physics problem-solving approaches using process mining and sequence analysis. Physical Review Physics Education Research. 21(1). 2 indexed citations
5.
Westphal, Andrea, et al.. (2025). Climate change education: Bibliometric analysis of the Status-Quo and future research paths. The Journal of Environmental Education. 56(4). 307–326. 4 indexed citations
6.
Kubsch, Marcus, et al.. (2024). Are science competitions meeting their intentions? a case study on affective and cognitive predictors of success in the Physics Olympiad. SHILAP Revista de lepidopterología. 6(1). 3 indexed citations
7.
Stede, Manfred, et al.. (2024). David vs. Goliath: comparing conventional machine learning and a large language model for assessing students' concept use in a physics problem. Frontiers in Artificial Intelligence. 7. 1408817–1408817. 4 indexed citations
8.
Wulff, Peter, et al.. (2023). Integrating artificial intelligence-based methods into qualitative research in physics education research: A case for computational grounded theory. Physical Review Physics Education Research. 19(2). 39 indexed citations
9.
Wulff, Peter, et al.. (2023). Exploring new depths: Applying machine learning for the analysis of student argumentation in chemistry. Journal of Research in Science Teaching. 61(8). 1757–1792. 22 indexed citations
10.
Wulff, Peter, et al.. (2023). Educational data augmentation in physics education research using ChatGPT. Physical Review Physics Education Research. 19(2). 57 indexed citations
11.
Wulff, Peter, et al.. (2023). Correction to: Utilizing a Pretrained Language Model (BERT) to Classify Preservice Physics Teachers’ Written Refections. International Journal of Artificial Intelligence in Education. 34(2). 647–647. 1 indexed citations
12.
Wulff, Peter. (2023). Physics language and language use in physics—What do we know and how AI might enhance language-related research and instruction. European Journal of Physics. 45(2). 23001–23001. 12 indexed citations
13.
Wulff, Peter. (2023). Network analysis of terms in the natural sciences insights from Wikipedia through natural language processing and network analysis. Education and Information Technologies. 28(11). 14325–14346. 5 indexed citations
16.
Wulff, Peter, et al.. (2022). Utilizing a Pretrained Language Model (BERT) to Classify Preservice Physics Teachers’ Written Reflections. International Journal of Artificial Intelligence in Education. 33(3). 439–466. 25 indexed citations
17.
18.
Wulff, Peter, et al.. (2017). The German Physics Olympiad—identifying and inspiring talents. European Journal of Physics. 38(3). 34005–34005. 20 indexed citations
19.
Søndergaard, Leif, et al.. (1995). Nutritional response in aDrosophila yolk protein gene promoter. Molecular and General Genetics MGG. 248(1). 25–32. 19 indexed citations
20.
Wulff, Peter, et al.. (1982). Marine alkaloids—6. The first naturally occurring bromo-substituted quinoline from Flustra foliacea. Comparative Biochemistry and Physiology Part B Comparative Biochemistry. 71(3). 525–526. 10 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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