Emre Sezgın

2.2k total citations · 1 hit paper
72 papers, 1.1k citations indexed

About

Emre Sezgın is a scholar working on General Health Professions, Applied Psychology and Artificial Intelligence. According to data from OpenAlex, Emre Sezgın has authored 72 papers receiving a total of 1.1k indexed citations (citations by other indexed papers that have themselves been cited), including 35 papers in General Health Professions, 14 papers in Applied Psychology and 11 papers in Artificial Intelligence. Recurrent topics in Emre Sezgın's work include Mobile Health and mHealth Applications (29 papers), Digital Mental Health Interventions (13 papers) and Technology Adoption and User Behaviour (9 papers). Emre Sezgın is often cited by papers focused on Mobile Health and mHealth Applications (29 papers), Digital Mental Health Interventions (13 papers) and Technology Adoption and User Behaviour (9 papers). Emre Sezgın collaborates with scholars based in United States, Türkiye and Canada. Emre Sezgın's co-authors include Sevgi Özkan, Simon Lin, Yungui Huang, Soner Yıldırım, Ujjwal Ramtekkar, Chris Ivory, Christine Jacob, Antonio Sánchez-Vázquez, Lisa K. Militello and Steve Rust and has published in prestigious journals such as SHILAP Revista de lepidopterología, PLoS ONE and Journal of Medical Internet Research.

In The Last Decade

Emre Sezgın

62 papers receiving 1.0k citations

Hit Papers

Sociotechnical Factors Affecting Patients’ Adoption of Mo... 2022 2026 2023 2024 2022 25 50 75
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.

  1. Sociotechnical Factors Affecting Patients’ Adoption of Mobile Health Tools: Systematic Literature Review and Narrative Synthesis
    2022 92 citations Emre Sezgın et al. JMIR mhealth and uhealth profile →

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Emre Sezgın United States 16 361 236 212 180 119 72 1.1k
Edward Meinert United Kingdom 20 486 1.3× 224 0.9× 192 0.9× 331 1.8× 229 1.9× 89 1.7k
Madison Milne‐Ives United Kingdom 12 371 1.0× 149 0.6× 153 0.7× 285 1.6× 128 1.1× 50 942
Rabia Bashir Australia 7 236 0.7× 370 1.6× 117 0.6× 343 1.9× 78 0.7× 15 896
Huong Ly Tong Australia 15 630 1.7× 454 1.9× 171 0.8× 672 3.7× 189 1.6× 21 1.6k
Pouyan Esmaeilzadeh United States 20 276 0.8× 294 1.2× 402 1.9× 108 0.6× 198 1.7× 54 1.7k
Turki M Alanzi Saudi Arabia 18 399 1.1× 70 0.3× 81 0.4× 83 0.5× 120 1.0× 80 939
Dari Alhuwail Kuwait 18 276 0.8× 340 1.4× 288 1.4× 120 0.7× 146 1.2× 64 1.6k
Taridzo Chomutare Norway 10 514 1.4× 124 0.5× 79 0.4× 149 0.8× 103 0.9× 39 969
Laurie L. Novak United States 19 374 1.0× 131 0.6× 256 1.2× 69 0.4× 219 1.8× 67 1.3k
Mohannad Alajlani United Kingdom 13 223 0.6× 308 1.3× 111 0.5× 606 3.4× 99 0.8× 22 1.2k

Countries citing papers authored by Emre Sezgın

Since Specialization
Citations

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

Fields of papers citing papers by Emre Sezgın

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Emre Sezgın

This figure shows the co-authorship network connecting the top 25 collaborators of Emre Sezgın. A scholar is included among the top collaborators of Emre Sezgın 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 Emre Sezgın. Emre Sezgın 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.
Sezgın, Emre, D Jackson, Samantha Boch, et al.. (2025). Digital Health Technologies for Screening and Identifying Unmet Social Needs: Scoping Review. Journal of Medical Internet Research. 27. e78793–e78793.
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Sezgın, Emre, D Jackson, A. Baki Kocaballı, et al.. (2025). Can Large Language Models Aid Caregivers of Pediatric Cancer Patients in Information Seeking? A Cross‐Sectional Investigation. Cancer Medicine. 14(1). e70554–e70554. 5 indexed citations
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Jackson, D, et al.. (2025). Challenges and opportunities in healthcare workplace violence training: A qualitative study of staff experiences. Journal of Workplace Behavioral Health. 40(4). 641–654.
6.
Quan, Joshua, et al.. (2025). Large language models generating synthetic clinical datasets: a feasibility and comparative analysis with real-world perioperative data. Frontiers in Artificial Intelligence. 8. 1533508–1533508. 2 indexed citations
7.
Sezgın, Emre, et al.. (2024). Evaluation of a Digital Scribe: Conversation Summarization for Emergency Department Consultation Calls. Applied Clinical Informatics. 15(3). 600–611. 8 indexed citations
8.
Sezgın, Emre & A. Baki Kocaballı. (2024). Era of Generalist Conversational Artificial Intelligence to Support Public Health Communications. Journal of Medical Internet Research. 27. e69007–e69007. 2 indexed citations
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Sezgın, Emre. (2023). Economics of AI behavior: nudging the digital minds toward greater societal benefit. AI & Society. 39(6). 3031–3032.
11.
Sezgın, Emre, et al.. (2022). Medical Text Prediction and Suggestion Using Generative Pretrained Transformer Models with Dental Medical Notes. Methods of Information in Medicine. 61(05/06). 195–200. 14 indexed citations
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Huang, Yungui, et al.. (2022). The Current State of Mobile Apps Owned by Large Pediatric Hospitals in the United States: Systematic Search and Analysis on Google Play and Apple App Stores. JMIR Pediatrics and Parenting. 5(4). e38940–e38940. 3 indexed citations
14.
Militello, Lisa K., Emre Sezgın, Yungui Huang, & Simon Lin. (2021). Delivering Perinatal Health Information via a Voice Interactive App (SMILE): Mixed Methods Feasibility Study. JMIR Formative Research. 5(3). e18240–e18240. 13 indexed citations
15.
Sezgın, Emre, Garey Noritz, Jeffrey Hoffman, & Yungui Huang. (2020). A Medical Translation Assistant for Non–English-Speaking Caregivers of Children With Special Health Care Needs: Proposal for a Scalable and Interoperable Mobile App. JMIR Research Protocols. 9(10). e21038–e21038. 5 indexed citations
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Sezgın, Emre, et al.. (2020). Detecting Screams From Home Audio Recordings to Identify Tantrums: Exploratory Study Using Transfer Machine Learning. JMIR Formative Research. 4(6). e18279–e18279. 1 indexed citations
18.
Sezgın, Emre, Garey Noritz, Steve Rust, et al.. (2019). Capturing At-Home Health and Care Information for Children With Medical Complexity Using Voice Interactive Technologies: Multi-Stakeholder Viewpoint. Journal of Medical Internet Research. 22(2). e14202–e14202. 24 indexed citations
19.
Moosavinasab, Soheil, et al.. (2018). Char2Vec: Learning the Semantic Embedding of Rare and Unseen Words in the Biomedical Literature.. AMIA. 1 indexed citations
20.
Sezgın, Emre & Sevgi Özkan. (2013). USERS’ ADOPTION OF MOBILE SERVICES: A WORK IN PROGRESS STUDY ON MOBILE -SEAT-RESERVATION SYSTEM FOR RESTAURANTS. SHILAP Revista de lepidopterología. 1 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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