Meg Young
Impact in
- Health Informatics top 5%
- Artificial Intelligence in Healthcare and Education
- Safety Research top 2%
- Ethics and Social Impacts of AI
Papers in ⓘ
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- Privacy, Security, and Data Protection 5
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- Ethics and Social Impacts of AI 8
- Co-authors
- P. M. Krafft (9 shared papers)Michael Katell (8 shared papers)Steven J. Jackson (1 shared paper)Syed Ishtiaque Ahmed (1 shared paper)Daniela K. Rosner (1 shared paper)Laewoo Kang (1 shared paper)Lara Houston (1 shared paper)Dharma Dailey (3 shared papers)
- Journals
- First Monday (2 papers)Computational and Mathematical Organization Theory (1 paper)Journal of Food Science (1 paper)Journal of Transport & Health (1 paper)Ethics and Information Technology (1 paper)
- Partner nations
- United StatesUnited KingdomAlbania
In The Last Decade
Meg Young
20 papers receiving 559 citations
Peers
Comparison fields: 5 of 94
- Health Informatics 43
- Safety Research 233
- Human-Computer Interaction 138
- Computer Science Applications 82
- Business and International Management 10
Countries citing papers authored by Meg Young
This map shows the geographic impact of Meg Young'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 Meg Young with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Meg Young more than expected).
Fields of papers citing papers by Meg Young
This network shows the impact of papers produced by Meg Young. 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 Meg Young. The network helps show where Meg Young may publish in the future.
Co-authors
The 25 scholars most cited alongside Meg Young, 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 21 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2016 | 156 | |
| 2 | 2020 | 85 | |
| 3 | 2020 | 58 | |
| 4 | 2021 | 50 | |
| 5 | 2022 | 35 | |
| 6 | 2019 | 33 | |
| 7 | 2019 | 31 | |
| 8 | 2019 | 27 | |
| 9 | 2008 | 24 | |
| 10 | 2010 | 13 | |
| 11 | 2017 | 13 | |
| 12 | 2015 | 10 | |
| 13 | 2021 | 10 | |
| 14 | 2024 | 9 | |
| 15 | 2024 | 8 | |
| 16 | 2020 | 6 | |
| 17 | 2019 | 5 | |
| 18 | 2022 | 4 | |
| 19 | 2025 | 1 | |
| 20 | 2025 | 1 |
About Meg Young
Meg Young is a scholar working on Sociology and Political Science, Safety Research, Human-Computer Interaction, Information Systems and Computer Science Applications, having authored 21 papers that have together received 579 indexed citations. Recurring topics across this work include Ethics and Social Impacts of AI (8 papers), Privacy, Security, and Data Protection (5 papers), COVID-19 Digital Contact Tracing (3 papers), Mobile Crowdsensing and Crowdsourcing (3 papers), Innovative Human-Technology Interaction (3 papers), Privacy-Preserving Technologies in Data (2 papers), Literacy, Media, and Education (1 paper) and Social Media and Politics (1 paper). The work is most often cited by research in Health Informatics (43 citations), Safety Research (233 citations), Human-Computer Interaction (138 citations), Computer Science Applications (82 citations) and Business and International Management (10 citations). Meg Young has collaborated with scholars based in United States, United Kingdom and Albania. Frequent co-authors include P. M. Krafft, Michael Katell, Steven J. Jackson, Syed Ishtiaque Ahmed, Daniela K. Rosner, Laewoo Kang, Lara Houston, Dharma Dailey, Karen Huang and Batya Friedman. Their work appears in journals such as First Monday, Computational and Mathematical Organization Theory, Journal of Food Science, Journal of Transport & Health and Ethics and Information Technology.
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.