Emanuel Moss
- Space and Planetary Science top 1%
- Health Informatics top 2%
- Artificial Intelligence in Healthcare and Education 3
- Safety Research top 1%
- Ethics and Social Impacts of AI 19
- Geology top 5%
- Conservation top 2%
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- Neuroethics, Human Enhancement, Biomedical Innovations 5
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- Mobile Crowdsensing and Crowdsourcing 3
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- Law, AI, and Intellectual Property 3
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- Innovative Human-Technology Interaction 3
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- Blockchain Technology Applications and Security 3
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- Ethics in Business and Education 2
- Co-authors
- Jacob MetcalfMona SloaneElizabeth Anne WatkinsMadeleine Clare ElishRanjit SinghChristopher H. RooseveltA. Feder CooperHelen Nissenbaum
- Partner nations
- United StatesUnited KingdomCanada
In The Last Decade
Emanuel Moss
26 papers receiving 587 citations
Peers
Comparison fields: 5 of 99
- Space and Planetary Science 73
- Health Informatics 71
- Safety Research 288
- Geology 84
- Conservation 37
Countries citing papers authored by Emanuel Moss
This map shows the geographic impact of Emanuel Moss'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 Emanuel Moss with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Emanuel Moss more than expected).
Fields of papers citing papers by Emanuel Moss
This network shows the impact of papers produced by Emanuel Moss. 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 Emanuel Moss. The network helps show where Emanuel Moss may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Emanuel Moss, 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 | 2025 | 2 | |
| 2 | 2024 | 3 | |
| 3 | 2024 | 5 | |
| 4 | 2023 | 6 | |
| 5 | 2023 | 5 | |
| 6 | 2023 | 1 | |
| 7 | 2022 | 39 | |
| 8 | 2022 | 11 | |
| 9 | 2021 | 13 | |
| 10 | 2021 | 89 | |
| 11 | 2021 | 0 | |
| 12 | 2021 | 43 | |
| 13 | Algorithmic Impact Assessments and Accountability: The Co-construction of Impacts | 2020 | 6 |
| 14 | 2020 | 7 | |
| 15 | 2020 | 8 | |
| 16 | 2020 | 16 | |
| 17 | 2020 | 8 | |
| 18 | 2019 | 36 | |
| 19 | 2018 | 4 | |
| 20 | 2015 | 130 |
About Emanuel Moss
Emanuel Moss is a scholar working on Safety Research, Health Informatics, Space and Planetary Science, Computer Science Applications and Human-Computer Interaction, having authored 27 papers that have together received 633 indexed citations. Recurring topics across this work include Ethics and Social Impacts of AI (19 papers), Neuroethics, Human Enhancement, Biomedical Innovations (5 papers), Mobile Crowdsensing and Crowdsourcing (3 papers), Artificial Intelligence in Healthcare and Education (3 papers), Law, AI, and Intellectual Property (3 papers), Innovative Human-Technology Interaction (3 papers), Blockchain Technology Applications and Security (3 papers) and Ethics in Business and Education (2 papers). The work is most often cited by research in Space and Planetary Science (73 citations), Health Informatics (71 citations), Safety Research (288 citations), Geology (84 citations) and Conservation (37 citations). Emanuel Moss has collaborated with scholars based in United States, United Kingdom and Canada. Frequent co-authors include Jacob Metcalf, Mona Sloane, Elizabeth Anne Watkins, Madeleine Clare Elish, Ranjit Singh, Christopher H. Roosevelt, A. Feder Cooper, Helen Nissenbaum, Rumman Chowdhury and danah boyd. Their work appears in journals such as Patterns, Nature Machine Intelligence, American Ethnologist, Media International Australia and Proceedings of the ACM on Human-Computer Interaction.
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.