Omid Pournik

851 total citations
49 papers, 572 citations indexed

About

Omid Pournik is a scholar working on General Health Professions, Epidemiology and Artificial Intelligence. According to data from OpenAlex, Omid Pournik has authored 49 papers receiving a total of 572 indexed citations (citations by other indexed papers that have themselves been cited), including 12 papers in General Health Professions, 8 papers in Epidemiology and 6 papers in Artificial Intelligence. Recurrent topics in Omid Pournik's work include Workplace Health and Well-being (4 papers), Health and Well-being Studies (4 papers) and Artificial Intelligence in Healthcare (4 papers). Omid Pournik is often cited by papers focused on Workplace Health and Well-being (4 papers), Health and Well-being Studies (4 papers) and Artificial Intelligence in Healthcare (4 papers). Omid Pournik collaborates with scholars based in Iran, United Kingdom and Spain. Omid Pournik's co-authors include Leila Ghalichi, Azra Ramezankhani, Farzad Hadaegh, Fereidoun Azizi, Jamal Shahrabi, Eva Vingård, Mostafa Ghaffari, Davood Khalili, Saeid Eslami and Theodoros N. Arvanitis and has published in prestigious journals such as SHILAP Revista de lepidopterología, Medicine and BMJ Open.

In The Last Decade

Omid Pournik

45 papers receiving 562 citations

Peers

Omid Pournik
Phung‐Anh Nguyen Taiwan
Suleman Atique Taiwan
Jennifer M. Lobo United States
Kellyn F Arnold United Kingdom
Chelsea Doktorchik Canada
Robert M. Kolodner United States
Yiye Zhang United States
Yuji Nishizaki Japan
Vivienne J. Zhu United States
David Barber Canada
Phung‐Anh Nguyen Taiwan
Omid Pournik
Citations per year, relative to Omid Pournik Omid Pournik (= 1×) peers Phung‐Anh Nguyen

Countries citing papers authored by Omid Pournik

Since Specialization
Citations

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

Fields of papers citing papers by Omid Pournik

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Omid Pournik

This figure shows the co-authorship network connecting the top 25 collaborators of Omid Pournik. A scholar is included among the top collaborators of Omid Pournik 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 Omid Pournik. Omid Pournik 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.
Pournik, Omid, et al.. (2025). Transforming Healthcare: The Role of Artificial Intelligence. Studies in health technology and informatics. 327. 1363–1367. 1 indexed citations
2.
3.
Pournik, Omid, Saadullah Farooq Abbasi, Nerea González, et al.. (2025). Analysing the Association Between User Perceptions and Usage Patterns of Digital Personalised Care Platforms Using the UTAUT Framework: Insights from the ADLIFE Project. Studies in health technology and informatics. 328. 469–473. 1 indexed citations
4.
Watts, Emma, Omid Pournik, Kristien Boelaert, et al.. (2025). Enhancing Diagnostic Precision: Utilising a Large Language Model to Extract U Scores from Thyroid Sonography Reports. Studies in health technology and informatics. 328. 56–60.
5.
Abbasi, Saadullah Farooq, et al.. (2025). Preliminary Exploration of Pre-Trained Vision-Language Models for Cyber-Threat Modelling in Internet of Medical Things (IoMT). Studies in health technology and informatics. 327. 1195–1199.
6.
Abbasi, Saadullah Farooq, et al.. (2024). Development of a CNN for Adult Brain Tumour Characterisation: Implications and Future Directions for Transfer Learning. Studies in health technology and informatics. 316. 1674–1678. 3 indexed citations
7.
Pournik, Omid, et al.. (2024). Developing a Help Desk Service for Enhanced Coordination in Health Informatics Projects: A Sharepoint and Power Automate Approach. Studies in health technology and informatics. 316. 1140–1144.
8.
Pournik, Omid, et al.. (2023). How Interoperability Challenges Are Addressed in Healthcare IoT Projects. Studies in health technology and informatics. 309. 121–125. 6 indexed citations
9.
Pournik, Omid, et al.. (2023). Clinical Decision Support Systems for brain tumour diagnosis and prognosis: a systematic review. Preprints.org. 3 indexed citations
10.
Pournik, Omid, et al.. (2023). Interoperable E-Health System Using Structural and Semantic Interoperability Approaches in CAREPATH. Studies in health technology and informatics. 305. 608–611. 3 indexed citations
11.
Pournik, Omid, Leila Ghalichi, Parisis Gallos, & Theodoros N. Arvanitis. (2023). The Internet of Medical Things: Opportunities, Benefits, Challenges and Concerns. Studies in health technology and informatics. 309. 312–316. 4 indexed citations
12.
Pournik, Omid, et al.. (2023). Clinical Decision Support Systems for Brain Tumour Diagnosis and Prognosis: A Systematic Review. Cancers. 15(13). 3523–3523. 4 indexed citations
13.
Ghalichi, Leila, et al.. (2023). How Do Iranian Researchers Measure Spirituality in Health Studies? A Scoping Review. Medical Journal of the Islamic Republic of Iran. 37. 24–24.
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Ertürkmen, Gökçe Banu Laleci, Pedro Abizanda, Omid Pournik, et al.. (2022). The design of a mobile platform providing personalized assistance to older multimorbid patients with mild dementia or mild cognitive impairment (MCI). Warwick Research Archive Portal (University of Warwick). 37–43. 3 indexed citations
16.
Rezaee, Rita, et al.. (2020). Obstructive Sleep Apnea: A Prediction Model Using Supervised Machine Learning Method. Studies in health technology and informatics. 272. 387–390. 11 indexed citations
17.
Pournik, Omid, et al.. (2019). The Survey of Willingness and Use of Information and Communication Technologies by People with Low Back Pain. SHILAP Revista de lepidopterología. 8(1). 8–8. 1 indexed citations
18.
Ramezankhani, Azra, Esmaeil Hadavandi, Omid Pournik, et al.. (2016). Decision tree-based modelling for identification of potential interactions between type 2 diabetes risk factors: a decade follow-up in a Middle East prospective cohort study. BMJ Open. 6(12). e013336–e013336. 39 indexed citations
19.
Hajesmaeel‐Gohari, Sadrieh, Kambiz Bahaadinbeigy, Leila Ahmadian, Reza Khajouei, & Omid Pournik. (2015). Published papers on telepathology projects. SHILAP Revista de lepidopterología. 1 indexed citations
20.
Ramezankhani, Azra, Omid Pournik, Jamal Shahrabi, et al.. (2014). Applying decision tree for identification of a low risk population for type 2 diabetes. Tehran Lipid and Glucose Study. Diabetes Research and Clinical Practice. 105(3). 391–398. 56 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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