Luke Munn
Impact in
- Health Informatics top 2%
- Artificial Intelligence in Healthcare and Education
- Safety Research top 2%
- Ethics and Social Impacts of AI
Papers in
-
- Digital Economy and Work Transformation 4
- Misinformation and Its Impacts 4
-
- Hate Speech and Cyberbullying Detection 9
- Privacy-Preserving Technologies in Data 3
- Co-authors
- Liam Magee (5 shared papers)Deepika Sharma (1 shared paper)Girish Lala (2 shared papers)Amanda Third (3 shared papers)Catherine Fleming (2 shared papers)
- Journals
- First Monday (3 papers)Big Data & Society (3 papers)AI & Society (2 papers)New Media & Society (2 papers)The Information Society (2 papers)
- Partner nations
- AustraliaUnited KingdomUnited States
In The Last Decade
Luke Munn
39 papers receiving 520 citations
Luke Munn's Hit Papers
Peers
Comparison fields: 5 of 91
- Health Informatics 57
- Safety Research 182
- Communication 109
- Artificial Intelligence 174
- Sociology and Political Science 213
Countries citing papers authored by Luke Munn
This map shows the geographic impact of Luke Munn'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 Luke Munn with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Luke Munn more than expected).
Fields of papers citing papers by Luke Munn
This network shows the impact of papers produced by Luke Munn. 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 Luke Munn. The network helps show where Luke Munn may publish in the future.
Co-authors
The 6 scholars most cited alongside Luke Munn, 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 43 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | The uselessness of AI ethics Hit paper breakdown → | 2022 | 174 |
| 2 | 2020 | 60 | |
| 3 | 2019 | 57 | |
| 4 | 2021 | 40 | |
| 5 | 2023 | 26 | |
| 6 | 2020 | 20 | |
| 7 | 2023 | 18 | |
| 8 | 2022 | 17 | |
| 9 | 2018 | 15 | |
| 10 | 2020 | 11 | |
| 11 | 2019 | 11 | |
| 12 | 2019 | 10 | |
| 13 | 2023 | 9 | |
| 14 | 2017 | 9 | |
| 15 | 2017 | 9 | |
| 16 | 2023 | 7 | |
| 17 | 2020 | 7 | |
| 18 | 2023 | 6 | |
| 19 | 2020 | 6 | |
| 20 | 2022 | 5 |
About Luke Munn
Luke Munn is a scholar working on Sociology and Political Science, Artificial Intelligence, Communication, Safety Research and Information Systems, having authored 43 papers that have together received 562 indexed citations. Recurring topics across this work include Hate Speech and Cyberbullying Detection (9 papers), Social Media and Politics (8 papers), Ethics and Social Impacts of AI (7 papers), Blockchain Technology Applications and Security (4 papers), Digital Economy and Work Transformation (4 papers), Gender, Feminism, and Media (4 papers), Misinformation and Its Impacts (4 papers) and Privacy-Preserving Technologies in Data (3 papers). The work is most often cited by research in Health Informatics (57 citations), Safety Research (182 citations), Communication (109 citations), Artificial Intelligence (174 citations) and Sociology and Political Science (213 citations). Luke Munn has collaborated with scholars based in Australia, United Kingdom and United States. Frequent co-authors include Liam Magee, Deepika Sharma, Girish Lala, Amanda Third, Catherine Fleming and Deepika Sharma. Their work appears in journals such as First Monday, Big Data & Society, AI & Society, New Media & Society and The Information Society.
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.