Amid Ayobi

767 total citations
27 papers, 492 citations indexed

About

Amid Ayobi is a scholar working on Human-Computer Interaction, Applied Psychology and Demography. According to data from OpenAlex, Amid Ayobi has authored 27 papers receiving a total of 492 indexed citations (citations by other indexed papers that have themselves been cited), including 15 papers in Human-Computer Interaction, 11 papers in Applied Psychology and 8 papers in Demography. Recurrent topics in Amid Ayobi's work include Innovative Human-Technology Interaction (15 papers), Digital Mental Health Interventions (11 papers) and Technology Use by Older Adults (8 papers). Amid Ayobi is often cited by papers focused on Innovative Human-Technology Interaction (15 papers), Digital Mental Health Interventions (11 papers) and Technology Use by Older Adults (8 papers). Amid Ayobi collaborates with scholars based in United Kingdom, United States and Japan. Amid Ayobi's co-authors include Paul Marshall, Anna L. Cox, Aisling Ann O’Kane, Yunan Chen, Tobias Sonne, Rachel Eardley, Michael Boniface, Matthew Guy, Christopher Duckworth and Adriane Chapman and has published in prestigious journals such as International Journal of Human-Computer Studies, Journal of Diabetes Science and Technology and Proceedings of the ACM on Human-Computer Interaction.

In The Last Decade

Amid Ayobi

22 papers receiving 482 citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Amid Ayobi United Kingdom 11 273 135 126 101 72 27 492
Sang-Wha Sien Canada 7 183 0.7× 84 0.6× 82 0.7× 78 0.8× 54 0.8× 11 321
Camille Nadal Ireland 7 115 0.4× 148 1.1× 70 0.6× 115 1.1× 94 1.3× 10 429
Felicia Cordeiro United States 7 381 1.4× 180 1.3× 122 1.0× 208 2.1× 89 1.2× 9 655
Mayara Costa Figueiredo United States 11 263 1.0× 130 1.0× 108 0.9× 147 1.5× 90 1.3× 24 505
Daniel Harrison United Kingdom 9 303 1.1× 106 0.8× 63 0.5× 74 0.7× 103 1.4× 22 470
Sarah Homewood Denmark 13 430 1.6× 38 0.3× 94 0.7× 43 0.4× 94 1.3× 27 535
Artie Konrad United States 8 206 0.8× 143 1.1× 47 0.4× 40 0.4× 88 1.2× 9 434
Jaime Snyder United States 12 265 1.0× 199 1.5× 88 0.7× 84 0.8× 119 1.7× 43 608
Rosa Maimone Italy 10 78 0.3× 122 0.9× 17 0.1× 95 0.9× 43 0.6× 23 376
Woosuk Seo United States 12 45 0.2× 84 0.6× 28 0.2× 39 0.4× 58 0.8× 22 308

Countries citing papers authored by Amid Ayobi

Since Specialization
Citations

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

Fields of papers citing papers by Amid Ayobi

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Amid Ayobi

This figure shows the co-authorship network connecting the top 25 collaborators of Amid Ayobi. A scholar is included among the top collaborators of Amid Ayobi 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 Amid Ayobi. Amid Ayobi is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
1.
Costanza, Enrico, et al.. (2025). Understanding Interaction with Machine Learning through a Thematic Analysis Coding Assistant: A User Study. Proceedings of the ACM on Human-Computer Interaction. 9(2). 1–35.
2.
3.
Ayobi, Amid, et al.. (2025). Using self-tracking technologies to manage energy for health and wellbeing. International Journal of Human-Computer Studies. 203. 103581–103581.
4.
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Singh, Aneesha, Martin Dechant, Dilisha Patel, et al.. (2025). Exploring Positionality in HCI: Perspectives, Trends, and Challenges. 1–18. 2 indexed citations
6.
7.
Eardley, Rachel, Emma L. Tonkin, Amid Ayobi, et al.. (2023). Explanation before Adoption: Supporting Informed Consent for Complex Machine Learning and IoT Health Platforms. Proceedings of the ACM on Human-Computer Interaction. 7(CSCW1). 1–25. 4 indexed citations
8.
Bidwell, Nicola J., et al.. (2023). Afrocentric Collaborative Care: Supporting Context Specific Digital Health and Care. Greenwich Academic Literature Archive (University of Greenwich). 537–541. 4 indexed citations
9.
Stawarz, Katarzyna, Amid Ayobi, Paul Marshall, et al.. (2023). Co-designing opportunities for Human-Centred Machine Learning in supporting Type 1 diabetes decision-making. International Journal of Human-Computer Studies. 173. 103003–103003. 12 indexed citations
10.
Ayobi, Amid, Christopher Duckworth, Paul Marshall, et al.. (2023). Computational Notebooks as Co-Design Tools: Engaging Young Adults Living with Diabetes, Family Carers, and Clinicians with Machine Learning Models. ePrints Soton (University of Southampton). 1–20. 13 indexed citations
11.
Duckworth, Christopher, Matthew Guy, Aisling Ann O’Kane, et al.. (2022). Explainable Machine Learning for Real-Time Hypoglycemia and Hyperglycemia Prediction and Personalized Control Recommendations. Journal of Diabetes Science and Technology. 18(1). 113–123. 31 indexed citations
12.
Berry, Andrew, Clara Caldeira, Rosa I. Arriaga, et al.. (2022). Challenges, Tensions, and Opportunities in Designing Ecosystems to Support the Management of Complex Health Needs. CHI Conference on Human Factors in Computing Systems Extended Abstracts. 1–7. 12 indexed citations
13.
Ayobi, Amid, et al.. (2022). Digital Mental Health and Social Connectedness. Proceedings of the ACM on Human-Computer Interaction. 6(CSCW2). 1–27. 10 indexed citations
14.
Ayobi, Amid, Katarzyna Stawarz, Paul Marshall, et al.. (2021). Machine Learning Explanations as Boundary Objects: How AI Researchers Explain and Non-Experts Perceive Machine Learning. Open Research Online (The Open University). 2 indexed citations
15.
Ayobi, Amid, et al.. (2021). Designing Visual Cards for Digital Mental Health Research with Ethnic Minorities. Bristol Research (University of Bristol). 942–954. 7 indexed citations
16.
Ayobi, Amid, Katarzyna Stawarz, Paul Marshall, et al.. (2021). Co-Designing Personal Health? Multidisciplinary Benefits and Challenges in Informing Diabetes Self-Care Technologies. Proceedings of the ACM on Human-Computer Interaction. 5(CSCW2). 1–26. 17 indexed citations
17.
Yamagata, Taku, Aisling Ann O’Kane, Amid Ayobi, et al.. (2020). Model-Based Reinforcement Learning for Type 1Diabetes Blood Glucose Control. Explore Bristol Research. 2 indexed citations
18.
Ayobi, Amid, Tobias Sonne, Paul Marshall, & Anna L. Cox. (2018). Flexible and Mindful Self-Tracking. Bristol Research (University of Bristol). 1–14. 104 indexed citations
19.
Ayobi, Amid, Paul Marshall, Anna L. Cox, & Yunan Chen. (2017). Quantifying the Body and Caring for the Mind. Explore Bristol Research. 6889–6901. 109 indexed citations
20.
Ayobi, Amid, Paul Marshall, & Anna L. Cox. (2016). Reflections on 5 Years of Personal Informatics. Explore Bristol Research. 2774–2781. 43 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.

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