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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- Mobile Crowdsensing and Crowdsourcing 2
- Co-authors
- Casey Fiesler (5 shared papers)Natalie Garrett (2 shared papers)Tom Yeh (2 shared papers)Michael Skirpan (2 shared papers)Jeffrey Saltz (1 shared paper)Robert Heckman (1 shared paper)Brian Keegan (1 shared paper)Tracy Bousselot (4 shared papers)
- Journals
- Teaching and Teacher Education (1 paper)Australasian Journal of Educational Technology (1 paper)Big Data & Society (1 paper)ACM Transactions on Computing Education (1 paper)Psychology of Aesthetics Creativity and the Arts (1 paper)
- Partner nations
- United States
In The Last Decade
Nathan Beard
10 papers receiving 533 citations
Peers
Comparison fields: 5 of 74
- Health Informatics 50
- Safety Research 287
- Computer Science Applications 150
- Information Systems and Management 116
- Human-Computer Interaction 50
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 | 150 | |
| 2 | 2019 | 113 | |
| 3 | 2020 | 91 | |
| 4 | 2018 | 84 | |
| 5 | 2021 | 51 | |
| 6 | 2020 | 41 | |
| 7 | 2022 | 12 | |
| 8 | 2022 | 7 | |
| 9 | 2023 | 3 | |
| 10 | 2023 | 3 |
About Nathan Beard
Nathan Beard is a scholar working on Safety Research, Computer Science Applications, Information Systems and Management, Visual Arts and Performing Arts and Cognitive Neuroscience, having authored 10 papers that have together received 555 indexed citations. Recurring topics across this work include Ethics and Social Impacts of AI (5 papers), Ethics in Business and Education (2 papers), Neuroscience, Education and Cognitive Function (2 papers), Privacy-Preserving Technologies in Data (2 papers), Creativity in Education and Neuroscience (2 papers), Privacy, Security, and Data Protection (2 papers), Adversarial Robustness in Machine Learning (2 papers) and Mobile Crowdsensing and Crowdsourcing (2 papers). The work is most often cited by research in Health Informatics (50 citations), Safety Research (287 citations), Computer Science Applications (150 citations), Information Systems and Management (116 citations) and Human-Computer Interaction (50 citations). Nathan Beard has collaborated with scholars based in United States. Frequent co-authors include Casey Fiesler, Natalie Garrett, Tom Yeh, Michael Skirpan, Jeffrey Saltz, Robert Heckman, Brian Keegan, Tracy Bousselot, Ross Anderson and David J. Mattson. Their work appears in journals such as Teaching and Teacher Education, Australasian Journal of Educational Technology, Big Data & Society, ACM Transactions on Computing Education and Psychology of Aesthetics Creativity and the Arts.
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.