Laura Vardoulakis

831 total citations · 1 hit paper
10 papers, 515 citations indexed

About

Laura Vardoulakis is a scholar working on Artificial Intelligence, Social Psychology and Ophthalmology. According to data from OpenAlex, Laura Vardoulakis has authored 10 papers receiving a total of 515 indexed citations (citations by other indexed papers that have themselves been cited), including 5 papers in Artificial Intelligence, 3 papers in Social Psychology and 2 papers in Ophthalmology. Recurrent topics in Laura Vardoulakis's work include AI in Service Interactions (3 papers), Machine Learning in Healthcare (2 papers) and Artificial Intelligence in Healthcare and Education (2 papers). Laura Vardoulakis is often cited by papers focused on AI in Service Interactions (3 papers), Machine Learning in Healthcare (2 papers) and Artificial Intelligence in Healthcare and Education (2 papers). Laura Vardoulakis collaborates with scholars based in United States and Thailand. Laura Vardoulakis's co-authors include Lauren Wilcox, Fred Hersch, Paisan Ruamviboonsuk, Elizabeth Baylor, Timothy Bickmore, Daniel Schulman, Lazlo Ring, Candace L. Sidner, Charles Rich and Alvin Rajkomar and has published in prestigious journals such as Clinical Pharmacology & Therapeutics, JAMA Internal Medicine and Autonomous Agents and Multi-Agent Systems.

In The Last Decade

Laura Vardoulakis

9 papers receiving 505 citations

Hit Papers

A Human-Centered Evaluation of a Deep Learning System Dep... 2020 2026 2022 2024 2020 100 200 300

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Laura Vardoulakis United States 7 211 157 122 59 56 10 515
Fred Hersch Australia 10 143 0.7× 132 0.8× 158 1.3× 86 1.5× 26 0.5× 16 562
Elizabeth Baylor Thailand 3 119 0.6× 120 0.8× 114 0.9× 59 1.0× 17 0.3× 5 327
William Paul United States 8 56 0.3× 53 0.3× 114 0.9× 75 1.3× 129 2.3× 17 402
Leslie Sanders Canada 6 246 1.2× 250 1.6× 143 1.2× 7 0.1× 27 0.5× 15 509
Kay Li Canada 9 295 1.4× 288 1.8× 156 1.3× 6 0.1× 33 0.6× 18 591
Usman Munir United States 5 128 0.6× 379 2.4× 207 1.7× 9 0.2× 13 0.2× 9 711
Abhimanyu S. Ahuja United States 9 121 0.6× 254 1.6× 212 1.7× 64 1.1× 10 0.2× 30 704
Joseph Petro United States 4 322 1.5× 683 4.4× 300 2.5× 8 0.1× 15 0.3× 6 954
Arun Vijay Subbarayalu Saudi Arabia 10 83 0.4× 197 1.3× 96 0.8× 4 0.1× 44 0.8× 63 611
Caio C. Vieira Machado United Kingdom 6 145 0.7× 317 2.0× 93 0.8× 5 0.1× 15 0.3× 9 595

Countries citing papers authored by Laura Vardoulakis

Since Specialization
Citations

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

Fields of papers citing papers by Laura Vardoulakis

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Laura Vardoulakis

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

All Works

10 of 10 papers shown
1.
Brandt, Reynaldo André, et al.. (2025). User-Centered Delivery of AI-Powered Health Care Technologies in Clinical Settings: Mixed Methods Case Study. JMIR Human Factors. 12. e76241–e76241. 1 indexed citations
2.
Parker, Andrea G., et al.. (2025). Participatory AI Considerations for Advancing Racial Health Equity. 1–24.
3.
Seneviratne, Martin, Ron Li, Daniel Lopez-Martinez, et al.. (2022). User-centred design for machine learning in health care: a case study from care management. BMJ Health & Care Informatics. 29(1). e100656–e100656. 11 indexed citations
4.
Schurgin, Mark W., Mark Schlager, Laura Vardoulakis, Laura R. Pina, & Lauren Wilcox. (2021). Isolation in Coordination: Challenges of Caregivers in the USA. 1–14. 28 indexed citations
5.
Rough, Kathryn, Andrew M. Dai, Kun Zhang, et al.. (2020). Predicting Inpatient Medication Orders From Electronic Health Record Data. Clinical Pharmacology & Therapeutics. 108(1). 145–154. 16 indexed citations
6.
Baylor, Elizabeth, et al.. (2020). A Human-Centered Evaluation of a Deep Learning System Deployed in Clinics for the Detection of Diabetic Retinopathy. 1–12. 316 indexed citations breakdown →
7.
Rajkomar, Alvin, Anjuli Kannan, Kai Chen, et al.. (2019). Automatically Charting Symptoms From Patient-Physician Conversations Using Machine Learning. JAMA Internal Medicine. 179(6). 836–836. 36 indexed citations
8.
Sidner, Candace L., et al.. (2018). Creating New Technologies for Companionable Agents to Support Isolated Older Adults. ACM Transactions on Interactive Intelligent Systems. 8(3). 1–27. 63 indexed citations
9.
Vardoulakis, Laura, et al.. (2017). Personal Tasks at Work. 251–254. 1 indexed citations
10.
Bickmore, Timothy, Laura Vardoulakis, & Daniel Schulman. (2013). Tinker: a relational agent museum guide. Autonomous Agents and Multi-Agent Systems. 27(2). 254–276. 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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