Michael Skirpan
Impact in
- Safety Research top 2%
- Ethics and Social Impacts of AI
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- Teaching and Learning Programming
- Online Learning and Analytics
Papers in
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- Ethics and Social Impacts of AI 5
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- Teaching and Learning Programming 2
- Mobile Crowdsensing and Crowdsourcing 2
- Co-authors
- Tom Yeh (7 shared papers)Casey Fiesler (5 shared papers)Nathan Beard (2 shared papers)Robert Heckman (1 shared paper)Jeffrey Saltz (1 shared paper)Eric P. S. Baumer (1 shared paper)Zachary C. Lipton (1 shared paper)Hoda Heidari (1 shared paper)
- Journals
- Communications of the ACM (1 paper)Proceedings of the ACM on Human-Computer Interaction (1 paper)ACM Transactions on Computing Education (1 paper)D-Scholarship@Pitt (University of Pittsburgh) (1 paper)CHI Conference on Human Factors in Computing Systems (1 paper)
- Partner nations
- United StatesUnited Kingdom
In The Last Decade
Michael Skirpan
13 papers receiving 338 citations
Peers
Comparison fields: 5 of 63
- Safety Research 185
- Computer Science Applications 95
- Human-Computer Interaction 81
- Health Informatics 16
- Information Systems and Management 74
Countries citing papers authored by Michael Skirpan
This map shows the geographic impact of Michael Skirpan'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 Michael Skirpan with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Michael Skirpan more than expected).
Fields of papers citing papers by Michael Skirpan
This network shows the impact of papers produced by Michael Skirpan. 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 Michael Skirpan. The network helps show where Michael Skirpan may publish in the future.
Co-authors
The 22 scholars most cited alongside Michael Skirpan, 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 | 2019 | 115 | |
| 2 | 2018 | 85 | |
| 3 | 2019 | 28 | |
| 4 | 2018 | 17 | |
| 5 | 2017 | 16 | |
| 6 | 2023 | 14 | |
| 7 | 2017 | 13 | |
| 8 | 2018 | 13 | |
| 9 | 2018 | 12 | |
| 10 | 2022 | 11 | |
| 11 | 2015 | 10 | |
| 12 | 2025 | 8 | |
| 13 | 2022 | 6 | |
| 14 | Learning How to Learn: An Essay on the Philosophy of Education | 2011 | 0 |
About Michael Skirpan
Michael Skirpan is a scholar working on Safety Research, Computer Science Applications, Artificial Intelligence, Human-Computer Interaction and Information Systems, having authored 14 papers that have together received 348 indexed citations. Recurring topics across this work include Ethics and Social Impacts of AI (5 papers), Innovative Human-Technology Interaction (4 papers), Adversarial Robustness in Machine Learning (2 papers), ICT in Developing Communities (2 papers), Teaching and Learning Programming (2 papers), Mobile Crowdsensing and Crowdsourcing (2 papers), Green IT and Sustainability (1 paper) and Innovative Teaching Methods (1 paper). The work is most often cited by research in Safety Research (185 citations), Computer Science Applications (95 citations), Human-Computer Interaction (81 citations), Health Informatics (16 citations) and Information Systems and Management (74 citations). Michael Skirpan has collaborated with scholars based in United States and United Kingdom. Frequent co-authors include Tom Yeh, Casey Fiesler, Nathan Beard, Robert Heckman, Jeffrey Saltz, Eric P. S. Baumer, Zachary C. Lipton, Hoda Heidari, Zahra Ashktorab and Robert Soden. Their work appears in journals such as Communications of the ACM, Proceedings of the ACM on Human-Computer Interaction, ACM Transactions on Computing Education, D-Scholarship@Pitt (University of Pittsburgh) and CHI Conference on Human Factors in Computing Systems.
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.