Nathan Beard
Impact in
- Health Informatics top 2%
- Artificial Intelligence in Healthcare and Education
- Safety Research top 1%
- Ethics and Social Impacts of AI
Papers in
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- Ethics and Social Impacts of AI 5
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- Neuroscience, Education and Cognitive Function 2
- Co-authors
- Casey Fiesler (5 shared papers)Natalie Garrett (2 shared papers)Michael Skirpan (2 shared papers)Tom Yeh (2 shared papers)Brian Keegan (1 shared paper)Robert Heckman (1 shared paper)Jeffrey Saltz (1 shared paper)Tracy Bousselot (4 shared papers)
- Journals
- Psychology of Aesthetics Creativity and the Arts (1 paper)Teaching and Teacher Education (1 paper)Big Data & Society (1 paper)Australasian Journal of Educational Technology (1 paper)ACM Transactions on Computing Education (1 paper)
- Partner nations
- United States
In The Last Decade
Nathan Beard
10 papers receiving 612 citations
Peers
Comparison fields: 5 of 76
- Health Informatics 56
- Safety Research 310
- Computer Science Applications 164
- Information Systems and Management 128
- Human-Computer Interaction 55
Countries citing papers authored by Nathan Beard
This map shows the geographic impact of Nathan Beard'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 Nathan Beard with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Nathan Beard more than expected).
Fields of papers citing papers by Nathan Beard
This network shows the impact of papers produced by Nathan Beard. 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 Nathan Beard. The network helps show where Nathan Beard may publish in the future.
Co-authors
The 15 scholars most cited alongside Nathan Beard, 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 | 2020 | 172 | |
| 2 | 2019 | 124 | |
| 3 | 2020 | 108 | |
| 4 | 2018 | 88 | |
| 5 | 2021 | 63 | |
| 6 | 2020 | 51 | |
| 7 | 2022 | 16 | |
| 8 | 2022 | 9 | |
| 9 | 2023 | 6 | |
| 10 | 2023 | 3 |
About Nathan Beard
Nathan Beard is a scholar working on Safety Research, Cognitive Neuroscience, Artificial Intelligence, Sociology and Political Science and Information Systems and Management, having authored 10 papers that have together received 640 indexed citations. Recurring topics across this work include Ethics and Social Impacts of AI (5 papers), Adversarial Robustness in Machine Learning (2 papers), Privacy-Preserving Technologies in Data (2 papers), Privacy, Security, and Data Protection (2 papers), Mobile Crowdsensing and Crowdsourcing (2 papers), Ethics in Business and Education (2 papers), Creativity in Education and Neuroscience (2 papers) and Neuroscience, Education and Cognitive Function (2 papers). The work is most often cited by research in Health Informatics (56 citations), Safety Research (310 citations), Computer Science Applications (164 citations), Information Systems and Management (128 citations) and Human-Computer Interaction (55 citations). Nathan Beard has collaborated with scholars based in United States. Frequent co-authors include Casey Fiesler, Natalie Garrett, Michael Skirpan, Tom Yeh, Brian Keegan, Robert Heckman, Jeffrey Saltz, Tracy Bousselot, Ross Anderson and David J. Mattson. Their work appears in journals such as Psychology of Aesthetics Creativity and the Arts, Teaching and Teacher Education, Big Data & Society, Australasian Journal of Educational Technology and ACM Transactions on Computing 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.