Tim Neumann
Impact in
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- Educational Games and Gamification
- Innovative Teaching and Learning Methods
- Human-Computer Interaction top 5%
- Virtual Reality Applications and Impacts
Papers in
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- Online and Blended Learning 4
- Reflective Practices in Education 2
- Student Assessment and Feedback 2
- Higher Education Learning Practices 1
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- Open Education and E-Learning 2
- Co-authors
- Sara de Freitas (1 shared paper)Diana Laurillard (2 shared papers)Tom Boyle (2 shared papers)Claire Bradley (2 shared papers)Jonathan San Diego (2 shared papers)Darren Pearce (2 shared papers)Wilma Clark (1 shared paper)Gwyneth Hughes (1 shared paper)
- Journals
- Research in Learning Technology (1 paper)British Journal of Educational Technology (1 paper)Computers & Education (1 paper)ALT-J (1 paper)Palgrave Macmillan UK eBooks (1 paper)
- Partner nations
- United Kingdom
In The Last Decade
Tim Neumann
8 papers receiving 320 citations
Peers
Comparison fields: 5 of 71
- Developmental and Educational Psychology 200
- Human-Computer Interaction 92
- Computer Science Applications 83
- Education 139
- Human Factors and Ergonomics 8
Countries citing papers authored by Tim Neumann
This map shows the geographic impact of Tim Neumann'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 Tim Neumann with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Tim Neumann more than expected).
Fields of papers citing papers by Tim Neumann
This network shows the impact of papers produced by Tim Neumann. 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 Tim Neumann. The network helps show where Tim Neumann may publish in the future.
Co-authors
The 10 scholars most cited alongside Tim Neumann, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2008 | 288 | |
| 2 | 2009 | 29 | |
| 3 | 2008 | 24 | |
| 4 | 2008 | 17 | |
| 5 | 2024 | 3 | |
| 6 | ePortfolios: models and implementation | 2009 | 3 |
| 7 | 2017 | 3 | |
| 8 | Teaching American History Utilizing Digital Resources in a Rural School District | 1999 | 1 |
| 9 | A mass collaboration approach to e-learning | 2007 | 0 |
About Tim Neumann
Tim Neumann is a scholar working on Education, Computer Science Applications, Developmental and Educational Psychology, Safety Research and Control and Systems Engineering, having authored 9 papers that have together received 368 indexed citations. Recurring topics across this work include Online and Blended Learning (4 papers), Innovative Teaching and Learning Methods (3 papers), Open Education and E-Learning (2 papers), Reflective Practices in Education (2 papers), Educational Tools and Methods (2 papers), Student Assessment and Feedback (2 papers), Educator Training and Historical Pedagogy (1 paper) and Higher Education Learning Practices (1 paper). The work is most often cited by research in Developmental and Educational Psychology (200 citations), Human-Computer Interaction (92 citations), Computer Science Applications (83 citations), Education (139 citations) and Human Factors and Ergonomics (8 citations). Tim Neumann has collaborated with scholars based in United Kingdom. Frequent co-authors include Sara de Freitas, Diana Laurillard, Tom Boyle, Claire Bradley, Jonathan San Diego, Darren Pearce, Wilma Clark, Gwyneth Hughes, Denise Hawkes and David Hart. Their work appears in journals such as Research in Learning Technology, British Journal of Educational Technology, Computers & Education, ALT-J and Palgrave Macmillan UK eBooks.
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.