Gabriel Lima
Impact in
- Health Informatics top 10%
- Health top 10%
- Vaccine Coverage and Hesitancy
Papers in
-
- Law, AI, and Intellectual Property 4
- Hate Speech and Cyberbullying Detection 4
-
- Ethics and Social Impacts of AI 8
- Co-authors
- Meeyoung Cha (13 shared papers)Chiyoung Cha (3 shared papers)Onur Varol (2 shared papers)Yong‐Yeol Ahn (2 shared papers)Juhi Kulshrestha (2 shared papers)Karandeep Singh (2 shared papers)Nina Grgić-Hlača (4 shared papers)Seungho Ryu (1 shared paper)
- Journals
- Proceedings of the ACM on Human-Computer Interaction (3 papers)Journal of Medical Internet Research (1 paper)Heliyon (1 paper)PLoS ONE (1 paper)Frontiers in Robotics and AI (2 papers)
- Partner nations
- South KoreaGermanyUnited States
In The Last Decade
Gabriel Lima
16 papers receiving 240 citations
Peers
Comparison fields: 5 of 56
- Health Informatics 18
- Health 54
- Safety Research 47
- Communication 38
- Artificial Intelligence 92
Countries citing papers authored by Gabriel Lima
This map shows the geographic impact of Gabriel Lima'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 Gabriel Lima with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Gabriel Lima more than expected).
Fields of papers citing papers by Gabriel Lima
This network shows the impact of papers produced by Gabriel Lima. 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 Gabriel Lima. The network helps show where Gabriel Lima may publish in the future.
Co-authors
The 21 scholars most cited alongside Gabriel Lima, 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 | 2022 | 61 | |
| 2 | 2021 | 28 | |
| 3 | 2023 | 28 | |
| 4 | 2020 | 26 | |
| 5 | 2022 | 25 | |
| 6 | 2022 | 19 | |
| 7 | 2022 | 15 | |
| 8 | 2021 | 13 | |
| 9 | 2021 | 12 | |
| 10 | 2022 | 8 | |
| 11 | 2020 | 4 | |
| 12 | 2025 | 1 | |
| 13 | 2023 | 1 | |
| 14 | Explaining the Punishment Gap of AI and Robots. | 2020 | 1 |
| 15 | 2022 | 1 | |
| 16 | 2018 | 1 | |
| 17 | 2025 | 0 | |
| 18 | 2025 | 0 | |
| 19 | 2024 | 0 |
About Gabriel Lima
Gabriel Lima is a scholar working on Artificial Intelligence, Safety Research, Cognitive Neuroscience, Sociology and Political Science and Communication, having authored 19 papers that have together received 244 indexed citations. Recurring topics across this work include Ethics and Social Impacts of AI (8 papers), Psychology of Moral and Emotional Judgment (6 papers), Misinformation and Its Impacts (6 papers), Law, AI, and Intellectual Property (4 papers), Hate Speech and Cyberbullying Detection (4 papers), Social Media and Politics (2 papers), Vaccine Coverage and Hesitancy (2 papers) and Emotions and Moral Behavior (1 paper). The work is most often cited by research in Health Informatics (18 citations), Health (54 citations), Safety Research (47 citations), Communication (38 citations) and Artificial Intelligence (92 citations). Gabriel Lima has collaborated with scholars based in South Korea, Germany and United States. Frequent co-authors include Meeyoung Cha, Chiyoung Cha, Onur Varol, Yong‐Yeol Ahn, Juhi Kulshrestha, Karandeep Singh, Nina Grgić-Hlača, Seungho Ryu, Лев Манович and JinYeong Bak. Their work appears in journals such as Proceedings of the ACM on Human-Computer Interaction, Journal of Medical Internet Research, Heliyon, PLoS ONE and Frontiers in Robotics and AI.
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.