Sage Kelly

1.1k total citations · 1 hit paper
9 papers, 571 citations indexed

About

Sage Kelly is a scholar working on Health Informatics, Artificial Intelligence and Information Systems and Management. According to data from OpenAlex, Sage Kelly has authored 9 papers receiving a total of 571 indexed citations (citations by other indexed papers that have themselves been cited), including 5 papers in Health Informatics, 5 papers in Artificial Intelligence and 3 papers in Information Systems and Management. Recurrent topics in Sage Kelly's work include Artificial Intelligence in Healthcare and Education (5 papers), AI in Service Interactions (4 papers) and Technology Adoption and User Behaviour (3 papers). Sage Kelly is often cited by papers focused on Artificial Intelligence in Healthcare and Education (5 papers), AI in Service Interactions (4 papers) and Technology Adoption and User Behaviour (3 papers). Sage Kelly collaborates with scholars based in Australia, Netherlands and Denmark. Sage Kelly's co-authors include Óscar Oviedo-Trespalacios, Sherrie-Anne Kaye, Helma Torkamaan, Steffen Steinert, James David Albert Newton, Timothy Gallagher, Tom Cole‐Hunter, Milad Haghani, Amina Tariq and Arianna Costantini and has published in prestigious journals such as Safety Science, Ergonomics and Telematics and Informatics.

In The Last Decade

Sage Kelly

8 papers receiving 534 citations

Hit Papers

align trajectories

What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

What factors contribute to the acceptance of artificial intelligence? A systematic review

2022 440 citations Sage Kelly, Sherrie-Anne Kaye et al. Telematics and Informatics profile →

Peers

Sage Kelly

AI

ISM

HI

SPS

SR

Jessica L. Pallant Australia

Shakked Noy United States

Whitney Zhang United States

Ruilin Zheng China

Hyeon Jo South Korea

Kalyan Kumar Bhattacharjee India

Mousa Al-kfairy United Arab Emirates

Nagaletchimee Annamalai Malaysia

Sarah Oeste-Reiß Germany

Damian Eke United Kingdom

Jessica L. Pallant Australia

Sage Kelly

208 ×0.8

AI

81 ×0.6

ISM

212 ×1.7

HI

92 ×1.0

SPS

81 ×1.1

SR

Citations per year, relative to Sage Kelly Sage Kelly (= 1×) peers Jessica L. Pallant

Countries citing papers authored by Sage Kelly

Since Specialization

Citations

This map shows the geographic impact of Sage Kelly'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 Sage Kelly with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Sage Kelly more than expected).

Fields of papers citing papers by Sage Kelly

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Sage Kelly. 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 Sage Kelly. The network helps show where Sage Kelly may publish in the future.

Co-authorship network of co-authors of Sage Kelly

This figure shows the co-authorship network connecting the top 25 collaborators of Sage Kelly. A scholar is included among the top collaborators of Sage Kelly based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Sage Kelly. Sage Kelly is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

Sort: Min cites: Since: Top N: Style:

9 of 9 papers shown

1.

Kelly, Sage, Sherrie-Anne Kaye, Katherine M. White, & Óscar Oviedo-Trespalacios. (2025). What factors predict user acceptance of ChatGPT for mental and physical healthcare: an extended technology acceptance model framework. AI & Society. 40(8). 6257–6275. 1 indexed citations

2.

Kelly, Sage, Katherine M. White, Sherrie-Anne Kaye, & Óscar Oviedo-Trespalacios. (2025). Tapping into Key Drivers: Self-Disclosure in Sensitive Health Conversations with ChatGPT. International Journal of Human-Computer Interaction. 41(24). 15668–15678.

3.

Torkamaan, Helma, Steffen Steinert, Maria Soledad Pera, et al.. (2024). Challenges and future directions for integration of large language models into socio-technical systems. Behaviour and Information Technology. 1–20. 6 indexed citations

4.

Oviedo-Trespalacios, Óscar, Amy E. Peden, Tom Cole‐Hunter, et al.. (2023). The Risks of Using ChatGPT to Obtain Common Safety-Related Information and Advice. SSRN Electronic Journal. 14 indexed citations

5.

Oviedo-Trespalacios, Óscar, Amy E. Peden, Tom Cole‐Hunter, et al.. (2023). The risks of using ChatGPT to obtain common safety-related information and advice. Safety Science. 167. 106244–106244. 68 indexed citations

6.

Oviedo-Trespalacios, Óscar, Amy E. Peden, Tom Cole‐Hunter, et al.. (2023). The Risks of Using Chatgpt to Obtain Common Safety-Related Information and Advice. SSRN Electronic Journal. 6 indexed citations

7.

Kelly, Sage, Sherrie-Anne Kaye, Katherine M. White, & Óscar Oviedo-Trespalacios. (2023). Clearing the way for participatory data stewardship in artificial intelligence development: a mixed methods approach. Ergonomics. 66(11). 1782–1799. 3 indexed citations

8.

Kelly, Sage, Sherrie-Anne Kaye, & Óscar Oviedo-Trespalacios. (2022). What factors contribute to the acceptance of artificial intelligence? A systematic review. Telematics and Informatics. 77. 101925–101925. 440 indexed citations breakdown →

9.

Kelly, Sage, Sherrie-Anne Kaye, & Óscar Oviedo-Trespalacios. (2022). A Multi-Industry Analysis of the Future Use of AI Chatbots. Human Behavior and Emerging Technologies. 2022. 1–14. 33 indexed citations

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.

Explore authors with similar magnitude of impact