Mathias Schulze
- Language and Linguistics top 5%
- Developmental and Educational Psychology top 10%
- Artificial Intelligence top 10%
- Literature and Literary Theory top 5%
- Education
- Topics
- EFL/ESL Teaching and Learning (9 papers)Second Language Acquisition and Learning (8 papers)Second Language Learning and Teaching (7 papers)
- Cited by
- Language and LinguisticsDevelopmental and Educational PsychologyComputer Science Applications
- Journals
- SHILAP Revista de lepidopterologíaSystemComputer Assisted Language Learning
- Partner nations
- CanadaUnited StatesGermany
In The Last Decade
Mathias Schulze
25 papers receiving 244 citations
Peers
Comparison fields: 5 of 43
- Language and Linguistics 110
- Developmental and Educational Psychology 109
- Artificial Intelligence 107
- Literature and Literary Theory 61
- Education 56
Countries citing papers authored by Mathias Schulze
This map shows the geographic impact of Mathias Schulze'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 Mathias Schulze with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Mathias Schulze more than expected).
Fields of papers citing papers by Mathias Schulze
This network shows the impact of papers produced by Mathias Schulze. 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 Mathias Schulze. The network helps show where Mathias Schulze may publish in the future.
Co-authorship network of co-authors of Mathias Schulze
This figure shows the co-authorship network connecting the top 25 collaborators of Mathias Schulze. A scholar is included among the top collaborators of Mathias Schulze 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 Mathias Schulze. Mathias Schulze is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 1 | |
| 2 | 0 | |
| 3 | 1 | |
| 4 | 16 | |
| 5 | 5 | |
| 6 | 26 | |
| 7 | 24 | |
| 8 | 6 | |
| 9 | 2 | |
| 10 | 0 | |
| 11 | 1 | |
| 12 | Errors and Intelligence in Computer-Assisted Language Learning: Parsers and Pedagogues. Routledge Studies in Computer Assisted Language Learning. | 2 |
| 13 | Group Work in a Technology-Rich Environment | 2 |
| 14 | 4 | |
| 15 | Errors and Intelligence in Computer-Assisted Language Learning: Parsers and Pedagogues | 78 |
| 16 | 12 | |
| 17 | Towards authentic tasks and experiences: The example of parser-based CALL | 3 |
| 18 | 3 | |
| 19 | 0 | |
| 20 | 4 |
About Mathias Schulze
Mathias Schulze is a scholar working on Language and Linguistics, Developmental and Educational Psychology and Computer Science Applications, having authored 28 papers that have together received 284 indexed citations. Recurring topics across this work include EFL/ESL Teaching and Learning (9 papers), Second Language Acquisition and Learning (8 papers) and Second Language Learning and Teaching (7 papers). The work is most often cited by research in Language and Linguistics (110 citations), Developmental and Educational Psychology (109 citations) and Computer Science Applications (34 citations). Mathias Schulze has collaborated with scholars based in Canada, United States and Germany. Frequent co-authors include Trude Heift, Lucas Veronese, Bryan Smith, Grit Liebscher, Philip Hubbard and Dawn Bikowski. Their work appears in journals such as SHILAP Revista de lepidopterología, System and Computer Assisted Language Learning.
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.