Emma Schleiger
Impact in
- Health Informatics top 5%
- Artificial Intelligence in Healthcare and Education
- Safety Research top 10%
- Ethics and Social Impacts of AI
Papers in
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- Adversarial Robustness in Machine Learning 2
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- Ethics and Social Impacts of AI 3
- Co-authors
- Andrew Wong (3 shared papers)Stephen Read (3 shared papers)Simon Finnigan (3 shared papers)Nabeel Sheikh (1 shared paper)Claire Naughtin (6 shared papers)Stefan Hajkowicz (6 shared papers)Claire Mason (3 shared papers)Cécile Paris (2 shared papers)
- Journals
- Technology in Society (1 paper)Technological Forecasting and Social Change (1 paper)Transport Policy (1 paper)International Journal of Psychophysiology (1 paper)Applied Artificial Intelligence (1 paper)
- Partner nations
- Australia
In The Last Decade
Emma Schleiger
16 papers receiving 225 citations
Peers
Comparison fields: 5 of 76
- Health Informatics 24
- Safety Research 35
- Cognitive Neuroscience 51
- Rehabilitation 15
- Neurology 12
Countries citing papers authored by Emma Schleiger
This map shows the geographic impact of Emma Schleiger'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 Emma Schleiger with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Emma Schleiger more than expected).
Fields of papers citing papers by Emma Schleiger
This network shows the impact of papers produced by Emma Schleiger. 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 Emma Schleiger. The network helps show where Emma Schleiger may publish in the future.
Co-authors
The 25 scholars most cited alongside Emma Schleiger, 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 | 2014 | 80 | |
| 2 | 2023 | 46 | |
| 3 | 2024 | 25 | |
| 4 | 2016 | 19 | |
| 5 | 2024 | 14 | |
| 6 | Artificial Intelligence: Australia’s ethics framework - a discussion paper | 2019 | 14 |
| 7 | 2022 | 9 | |
| 8 | 2023 | 9 | |
| 9 | 2024 | 5 | |
| 10 | Early screening for post-stroke cognitive deficits may be informed by degree of EEG alpha slowing | 2015 | 1 |
| 11 | 2025 | 1 | |
| 12 | 2024 | 1 | |
| 13 | 2023 | 1 | |
| 14 | 2023 | 1 | |
| 15 | A New Chapter: Opportunities to seed new industries for Queensland over the coming decade. | 2021 | 1 |
| 16 | 2019 | 1 |
About Emma Schleiger
Emma Schleiger is a scholar working on Artificial Intelligence, Safety Research, Social Psychology, Management Information Systems and Pulmonary and Respiratory Medicine, having authored 16 papers that have together received 228 indexed citations. Recurring topics across this work include Ethics and Social Impacts of AI (3 papers), Big Data and Business Intelligence (2 papers), Adversarial Robustness in Machine Learning (2 papers), Dementia and Cognitive Impairment Research (2 papers), Cerebrovascular and Carotid Artery Diseases (2 papers), Psychological Well-being and Life Satisfaction (1 paper), University-Industry-Government Innovation Models (1 paper) and Leadership, Behavior, and Decision-Making Studies (1 paper). The work is most often cited by research in Health Informatics (24 citations), Safety Research (35 citations), Cognitive Neuroscience (51 citations), Rehabilitation (15 citations) and Neurology (12 citations). Emma Schleiger has collaborated with scholars based in Australia. Frequent co-authors include Andrew Wong, Stephen Read, Simon Finnigan, Nabeel Sheikh, Claire Naughtin, Stefan Hajkowicz, Claire Mason, Cécile Paris, Andrew Reeson and Conrad Sanderson. Their work appears in journals such as Technology in Society, Technological Forecasting and Social Change, Transport Policy, International Journal of Psychophysiology and Applied Artificial Intelligence.
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.