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
-
- Privacy, Security, and Data Protection 4
- Innovation, Technology, and Society 1
-
- Ethics and Social Impacts of AI 7
- Co-authors
- P. M. Krafft (8 shared papers)Michael Katell (7 shared papers)Steven J. Jackson (1 shared paper)Lara Houston (1 shared paper)Daniela K. Rosner (1 shared paper)Syed Ishtiaque Ahmed (1 shared paper)Laewoo Kang (1 shared paper)Dharma Dailey (3 shared papers)
- Journals
- First Monday (2 papers)Computational and Mathematical Organization Theory (1 paper)Ethics and Information Technology (1 paper)Journal of Biomedical Informatics (1 paper)Big Data & Society (1 paper)
- Partner nations
- United StatesUnited KingdomChina
In The Last Decade
Meg Young
20 papers receiving 618 citations
Peers
Comparison fields: 5 of 98
- Health Informatics 43
- Safety Research 239
- Human-Computer Interaction 148
- Computer Science Applications 84
- Management of Technology and Innovation 37
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
| # | Work | ||
|---|---|---|---|
| 1 | 2016 | 174 | |
| 2 | 2020 | 93 | |
| 3 | 2020 | 63 | |
| 4 | 2021 | 58 | |
| 5 | 2019 | 40 | |
| 6 | 2022 | 38 | |
| 7 | 2019 | 32 | |
| 8 | 2019 | 28 | |
| 9 | 2008 | 24 | |
| 10 | 2024 | 16 | |
| 11 | 2010 | 13 | |
| 12 | 2017 | 13 | |
| 13 | 2015 | 10 | |
| 14 | 2021 | 10 | |
| 15 | 2024 | 8 | |
| 16 | 2020 | 7 | |
| 17 | 2022 | 4 | |
| 18 | 2025 | 3 | |
| 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, Computer Science Applications and Information Systems, having authored 20 papers that have together received 636 indexed citations. Recurring topics across this work include Ethics and Social Impacts of AI (7 papers), Privacy, Security, and Data Protection (4 papers), Mobile Crowdsensing and Crowdsourcing (3 papers), Innovative Human-Technology Interaction (3 papers), COVID-19 Digital Contact Tracing (2 papers), Privacy-Preserving Technologies in Data (2 papers), Health Policy Implementation Science (1 paper) and Innovation, Technology, and Society (1 paper). The work is most often cited by research in Health Informatics (43 citations), Safety Research (239 citations), Human-Computer Interaction (148 citations), Computer Science Applications (84 citations) and Management of Technology and Innovation (37 citations). Meg Young has collaborated with scholars based in United States, United Kingdom and China. Frequent co-authors include P. M. Krafft, Michael Katell, Steven J. Jackson, Lara Houston, Daniela K. Rosner, Syed Ishtiaque Ahmed, Laewoo Kang, Dharma Dailey, Batya Friedman and Karen Huang. Their work appears in journals such as First Monday, Computational and Mathematical Organization Theory, Ethics and Information Technology, Journal of Biomedical Informatics and Big Data & Society.
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.