Sandra Schulz
Impact in
- Microbiology top 1%
- Antimicrobial Peptides and Activities
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- Teaching and Learning Programming
Papers in
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- Teaching and Learning Programming 14
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- Science Education and Pedagogy 5
- Education Methods and Technologies 1
- Co-authors
- Wolf‐Georg Forssmann (1 shared paper)Knut Adermann (1 shared paper)Alexander Krause (1 shared paper)Enno Klüver (1 shared paper)Francisco Javier Rodríguez-Jiménez (1 shared paper)Adjoa Frimpong‐Boateng (1 shared paper)Robert Bals (1 shared paper)Ulf Forssmann (1 shared paper)
- Journals
- Computer Science Education (2 papers)The FASEB Journal (1 paper)Biomaterials Science (1 paper)International Journal of Artificial Intelligence in Education (1 paper)Histopathology (1 paper)
- Partner nations
- GermanyNew ZealandUnited States
In The Last Decade
Sandra Schulz
24 papers receiving 526 citations
Peers
Comparison fields: 5 of 66
- Microbiology 320
- Computer Science Applications 67
- Immunology 38
- Dermatology 13
- Periodontics 9
Countries citing papers authored by Sandra Schulz
This map shows the geographic impact of Sandra Schulz'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 Sandra Schulz with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Sandra Schulz more than expected).
Fields of papers citing papers by Sandra Schulz
This network shows the impact of papers produced by Sandra Schulz. 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 Sandra Schulz. The network helps show where Sandra Schulz may publish in the future.
Co-authors
The 25 scholars most cited alongside Sandra Schulz, 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 28 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2001 | 410 | |
| 2 | 2022 | 27 | |
| 3 | 2021 | 20 | |
| 4 | 2015 | 16 | |
| 5 | 2011 | 13 | |
| 6 | 2022 | 13 | |
| 7 | 2018 | 7 | |
| 8 | 2016 | 5 | |
| 9 | 2022 | 5 | |
| 10 | 2020 | 4 | |
| 11 | 2025 | 4 | |
| 12 | 2017 | 3 | |
| 13 | 2020 | 3 | |
| 14 | 2020 | 3 | |
| 15 | 2023 | 3 | |
| 16 | 2024 | 3 | |
| 17 | 2021 | 2 | |
| 18 | 2025 | 2 | |
| 19 | 2016 | 1 | |
| 20 | Integration des Erwerbs von Basiskonzepten der Informatik in den mathematisch-naturwissenschaftlichen Unterricht der Sekundarstufe I. | 2017 | 1 |
About Sandra Schulz
Sandra Schulz is a scholar working on Computer Science Applications, Education, Developmental and Educational Psychology, Artificial Intelligence and Information Systems, having authored 28 papers that have together received 551 indexed citations. Recurring topics across this work include Teaching and Learning Programming (14 papers), Science Education and Pedagogy (5 papers), Innovative Teaching and Learning Methods (3 papers), Intelligent Tutoring Systems and Adaptive Learning (2 papers), Educational Robotics and Engineering (2 papers), Antimicrobial Peptides and Activities (1 paper), Pregnancy and preeclampsia studies (1 paper) and Education Methods and Technologies (1 paper). The work is most often cited by research in Microbiology (320 citations), Computer Science Applications (67 citations), Immunology (38 citations), Dermatology (13 citations) and Periodontics (9 citations). Sandra Schulz has collaborated with scholars based in Germany, New Zealand and United States. Frequent co-authors include Wolf‐Georg Forssmann, Knut Adermann, Alexander Krause, Enno Klüver, Francisco Javier Rodríguez-Jiménez, Adjoa Frimpong‐Boateng, Robert Bals, Ulf Forssmann, Jose Ramon Conejo-Garcia and Niels Pinkwart C. Their work appears in journals such as Computer Science Education, The FASEB Journal, Biomaterials Science, International Journal of Artificial Intelligence in Education and Histopathology.
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.