Michael Katell
- Health Informatics top 5%
- Safety Research top 2%
- Ethics and Social Impacts of AI 14
- Computer Science Applications top 10%
- Mobile Crowdsensing and Crowdsourcing 3
- Human-Computer Interaction top 10%
- Artificial Intelligence top 10%
- Privacy-Preserving Technologies in Data 4
- Law, AI, and Intellectual Property 2
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- Privacy, Security, and Data Protection 5
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- COVID-19 Digital Contact Tracing 3
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- Legal and Policy Issues 2
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- Data Quality and Management 2
- Co-authors
- Meg YoungP. M. KrafftDharma DaileyKaren HuangDavid LeslieMhairi AitkenChristopher BurrJosh Cowls
- Partner nations
- United KingdomUnited StatesIreland
In The Last Decade
Michael Katell
20 papers receiving 341 citations
Peers
Comparison fields: 5 of 76
- Health Informatics 42
- Safety Research 218
- Computer Science Applications 48
- Human-Computer Interaction 42
- Artificial Intelligence 116
Countries citing papers authored by Michael Katell
This map shows the geographic impact of Michael Katell'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 Michael Katell with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Michael Katell more than expected).
Fields of papers citing papers by Michael Katell
This network shows the impact of papers produced by Michael Katell. 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 Michael Katell. The network helps show where Michael Katell may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Michael Katell, 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 | 1 | |
| 2 | 2024 | 9 | |
| 3 | 2024 | 3 | |
| 4 | 2024 | 0 | |
| 5 | 2024 | 5 | |
| 6 | 2022 | 2 | |
| 7 | 2022 | 7 | |
| 8 | 2022 | 0 | |
| 9 | 2021 | 7 | |
| 10 | 2021 | 30 | |
| 11 | 2021 | 10 | |
| 12 | 2021 | 50 | |
| 13 | 2020 | 85 | |
| 14 | 2020 | 58 | |
| 15 | 2020 | 6 | |
| 16 | 2019 | 5 | |
| 17 | 2019 | 31 | |
| 18 | 2019 | 5 | |
| 19 | 2016 | 3 | |
| 20 | 2015 | 0 |
About Michael Katell
Michael Katell is a scholar working on Safety Research, Computer Science Applications, Human-Computer Interaction, Law and History and Philosophy of Science, having authored 24 papers that have together received 355 indexed citations. Recurring topics across this work include Ethics and Social Impacts of AI (14 papers), Privacy, Security, and Data Protection (5 papers), Privacy-Preserving Technologies in Data (4 papers), COVID-19 Digital Contact Tracing (3 papers), Mobile Crowdsensing and Crowdsourcing (3 papers), Law, AI, and Intellectual Property (2 papers), Legal and Policy Issues (2 papers) and Data Quality and Management (2 papers). The work is most often cited by research in Health Informatics (42 citations), Safety Research (218 citations), Computer Science Applications (48 citations), Human-Computer Interaction (42 citations) and Artificial Intelligence (116 citations). Michael Katell has collaborated with scholars based in United Kingdom, United States and Ireland. Frequent co-authors include Meg Young, P. M. Krafft, Dharma Dailey, Karen Huang, David Leslie, Mhairi Aitken, Christopher Burr, Josh Cowls, Jennifer E. Lee and Jennifer Lee. Their work appears in journals such as interactions, Nature Reviews Genetics, Big Data & Society, Law Innovation and Technology and Proceedings of the Association for Information Science and Technology.
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.