Mona Sloane
Impact in
- Health Informatics top 10%
- Artificial Intelligence in Healthcare and Education
- Safety Research top 5%
- Ethics and Social Impacts of AI
Papers in
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- Ethics and Social Impacts of AI 13
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- Innovation, Technology, and Society 2
- Co-authors
- Emanuel Moss (6 shared papers)Rumman Chowdhury (1 shared paper)Julia Stoyanovich (3 shared papers)David Danks (1 shared paper)Aritra Dasgupta (1 shared paper)Abigail Z. Jacobs (1 shared paper)Don Slater (2 shared papers)Joanne Entwistle (2 shared papers)
- Journals
- Nature Machine Intelligence (3 papers)Data Mining and Knowledge Discovery (1 paper)Nature (1 paper)Big Data & Society (1 paper)Patterns (1 paper)
- Partner nations
- United StatesCanadaGermany
In The Last Decade
Mona Sloane
23 papers receiving 203 citations
Peers
Comparison fields: 5 of 71
- Health Informatics 21
- Safety Research 122
- Human-Computer Interaction 15
- Computer Science Applications 12
- General Social Sciences 7
Countries citing papers authored by Mona Sloane
This map shows the geographic impact of Mona Sloane'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 Mona Sloane with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Mona Sloane more than expected).
Fields of papers citing papers by Mona Sloane
This network shows the impact of papers produced by Mona Sloane. 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 Mona Sloane. The network helps show where Mona Sloane may publish in the future.
Co-authors
The 18 scholars most cited alongside Mona Sloane, 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 25 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2019 | 48 | |
| 2 | 2022 | 39 | |
| 3 | 2019 | 19 | |
| 4 | 2022 | 17 | |
| 5 | 2022 | 13 | |
| 6 | 2019 | 12 | |
| 7 | 2022 | 9 | |
| 8 | 2024 | 9 | |
| 9 | 2022 | 8 | |
| 10 | 2023 | 6 | |
| 11 | 2023 | 5 | |
| 12 | 2024 | 5 | |
| 13 | 2025 | 4 | |
| 14 | 2014 | 4 | |
| 15 | 2024 | 3 | |
| 16 | 2025 | 2 | |
| 17 | 2023 | 2 | |
| 18 | Book review: elements of architecture: assembling archaeology, atmosphere and the performance of building space edited by Mikkel Bille and Tim Flohr Sørensen | 2016 | 2 |
| 19 | Tackling social inequalities in public lighting | 2016 | 2 |
| 20 | Darkness is a luxury not granted to Britain's council estates | 2016 | 2 |
About Mona Sloane
Mona Sloane is a scholar working on Safety Research, Sociology and Political Science, Cognitive Neuroscience, Health Informatics and Artificial Intelligence, having authored 25 papers that have together received 215 indexed citations. Recurring topics across this work include Ethics and Social Impacts of AI (13 papers), Artificial Intelligence in Healthcare and Education (3 papers), Neuroethics, Human Enhancement, Biomedical Innovations (3 papers), Innovation, Technology, and Society (2 papers), Explainable Artificial Intelligence (XAI) (2 papers), Mobile Crowdsensing and Crowdsourcing (2 papers), Design Education and Practice (1 paper) and Spatial and Cultural Studies (1 paper). The work is most often cited by research in Health Informatics (21 citations), Safety Research (122 citations), Human-Computer Interaction (15 citations), Computer Science Applications (12 citations) and General Social Sciences (7 citations). Mona Sloane has collaborated with scholars based in United States, Canada and Germany. Frequent co-authors include Emanuel Moss, Rumman Chowdhury, Julia Stoyanovich, David Danks, Aritra Dasgupta, Abigail Z. Jacobs, Don Slater, Joanne Entwistle, Claudio Sopranzetti and Susan Kennedy. Their work appears in journals such as Nature Machine Intelligence, Data Mining and Knowledge Discovery, Nature, Big Data & Society and Patterns.
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.