Mia Minnes
Impact in
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- Teaching and Learning Programming
- Online Learning and Analytics
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- Gender and Technology in Education
Papers in
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- Teaching and Learning Programming 9
- Online Learning and Analytics 9
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- Innovative Teaching Methods 4
- Reflective Practices in Education 3
- Co-authors
- Christine Alvarado (7 shared papers)Leo Porter (3 shared papers)Bakhadyr Khoussainov (2 shared papers)Jiamou Liu (2 shared papers)Kristen Vaccaro (2 shared papers)Joe Gibbs Politz (3 shared papers)Maziar Ghazinejad (4 shared papers)Nathan Delson (4 shared papers)
- Journals
- Annals of Pure and Applied Logic (1 paper)Journal of Symbolic Logic (1 paper)Theoretical Computer Science (1 paper)ACM Transactions on Computing Education (1 paper)Computer Science Education (1 paper)
- Partner nations
- United StatesNew ZealandCanada
In The Last Decade
Mia Minnes
26 papers receiving 171 citations
Peers
Comparison fields: 5 of 40
- Computer Science Applications 100
- Gender Studies 35
- Media Technology 30
- Developmental and Educational Psychology 37
- Safety Research 19
Countries citing papers authored by Mia Minnes
This map shows the geographic impact of Mia Minnes'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 Mia Minnes with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Mia Minnes more than expected).
Fields of papers citing papers by Mia Minnes
This network shows the impact of papers produced by Mia Minnes. 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 Mia Minnes. The network helps show where Mia Minnes may publish in the future.
Co-authors
The 24 scholars most cited alongside Mia Minnes, 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 | 2018 | 35 | |
| 2 | 2017 | 31 | |
| 3 | 2022 | 11 | |
| 4 | 2021 | 11 | |
| 5 | 2017 | 11 | |
| 6 | 2021 | 9 | |
| 7 | 2022 | 9 | |
| 8 | 2009 | 8 | |
| 9 | Practice Makes Deeper? Regular Reflective Writing during Engineering Internships | 2017 | 7 |
| 10 | 2018 | 6 | |
| 11 | 2018 | 5 | |
| 12 | 2021 | 4 | |
| 13 | 2020 | 4 | |
| 14 | 2009 | 3 | |
| 15 | 2024 | 3 | |
| 16 | 2010 | 3 | |
| 17 | 2019 | 3 | |
| 18 | 2022 | 3 | |
| 19 | 2020 | 3 | |
| 20 | 2024 | 2 |
About Mia Minnes
Mia Minnes is a scholar working on Computer Science Applications, Education, Developmental and Educational Psychology, Artificial Intelligence and Computational Theory and Mathematics, having authored 28 papers that have together received 179 indexed citations. Recurring topics across this work include Teaching and Learning Programming (9 papers), Online Learning and Analytics (9 papers), Innovative Teaching and Learning Methods (5 papers), Innovative Teaching Methods (4 papers), Gender and Technology in Education (4 papers), Academic integrity and plagiarism (3 papers), Experimental Learning in Engineering (3 papers) and Reflective Practices in Education (3 papers). The work is most often cited by research in Computer Science Applications (100 citations), Gender Studies (35 citations), Media Technology (30 citations), Developmental and Educational Psychology (37 citations) and Safety Research (19 citations). Mia Minnes has collaborated with scholars based in United States, New Zealand and Canada. Frequent co-authors include Christine Alvarado, Leo Porter, Bakhadyr Khoussainov, Jiamou Liu, Kristen Vaccaro, Joe Gibbs Politz, Maziar Ghazinejad, Nathan Delson, Jace Hargıs and Curt Schurgers. Their work appears in journals such as Annals of Pure and Applied Logic, Journal of Symbolic Logic, Theoretical Computer Science, ACM Transactions on Computing Education and Computer Science Education.
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.