Sameer Pujari

852 total citations
17 papers, 346 citations indexed

About

Sameer Pujari is a scholar working on Health Informatics, Public Health, Environmental and Occupational Health and Radiology, Nuclear Medicine and Imaging. According to data from OpenAlex, Sameer Pujari has authored 17 papers receiving a total of 346 indexed citations (citations by other indexed papers that have themselves been cited), including 4 papers in Health Informatics, 4 papers in Public Health, Environmental and Occupational Health and 3 papers in Radiology, Nuclear Medicine and Imaging. Recurrent topics in Sameer Pujari's work include Artificial Intelligence in Healthcare and Education (4 papers), Autopsy Techniques and Outcomes (2 papers) and Mobile Health and mHealth Applications (2 papers). Sameer Pujari is often cited by papers focused on Artificial Intelligence in Healthcare and Education (4 papers), Autopsy Techniques and Outcomes (2 papers) and Mobile Health and mHealth Applications (2 papers). Sameer Pujari collaborates with scholars based in Switzerland, United States and Saudi Arabia. Sameer Pujari's co-authors include Edouard Tursan d’Espaignet, Jeremy Morton, Krishna Palipudi, Yuchen Liu, Thomas E. Novotny, Stella Aguinaga Bialous, Kate Loveys, Matthew Prina, Nivo Ramanandraibe and Samira Asma and has published in prestigious journals such as The Lancet, SHILAP Revista de lepidopterología and Bulletin of the World Health Organization.

In The Last Decade

Sameer Pujari

14 papers receiving 338 citations

Peers

Sameer Pujari

PHYSI

PHEOH

GHP

OBHRM

Vin Gupta United States

Moustaq Karim Khan Rony Bangladesh

M.C. Ploem Netherlands

Majed Mowanes Alruwaili Saudi Arabia

Caroline Brall Switzerland

Bryan Thomas Canada

Tuti Nuraini Indonesia

Page D. Dobbs United States

Mari Tietze United States

Filippo Gibelli Italy

Vin Gupta United States

Sameer Pujari

97 ×0.8

PHYSI

74 ×1.2

PHEOH

15 ×0.3

61 ×1.2

GHP

33 ×0.7

OBHRM

Citations per year, relative to Sameer Pujari Sameer Pujari (= 1×) peers Vin Gupta

Countries citing papers authored by Sameer Pujari

Since Specialization

Citations

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

Fields of papers citing papers by Sameer Pujari

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Sameer Pujari

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

All Works

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17 of 17 papers shown

Pujari, Sameer, Rudra Pratap Singh, Tanuja Manoj Nesari, et al.. (2025). Artificial intelligence in traditional medicine: policy and governance strategies. Bulletin of the World Health Organization. 103(11). 738–740.

Ng, Madelena Y., Shada Alsalamah, Sameer Pujari, et al.. (2025). Global Initiative on AI for Health (GI-AI4H): strategic priorities advancing governance across the United Nations. npj Digital Medicine. 8(1). 219–219. 7 indexed citations

Tamrat, Tigest, Rohit Malpani, Anuj Kapilashrami, et al.. (2025). Beyond no harm: Advancing research on artificial intelligence for sexual and reproductive health and rights. PubMed. 3(1). 65–65.

Sheerah, Haytham A., Shada Alsalamah, Chang‐Tien Lu, et al.. (2024). The Rise of Virtual Health Care: Transforming the Health Care Landscape in the Kingdom of Saudi Arabia: A Review Article. Telemedicine Journal and e-Health. 30(10). 2545–2554. 8 indexed citations

Nesari, Tanuja Manoj, et al.. (2024). Artificial Intelligence (AI) for global health and advancing traditional medicine: Report of the proceedings. SHILAP Revista de lepidopterología. 5(4). 320–323. 1 indexed citations

Tamrat, Tigest, et al.. (2024). Exploring the Use and Implications of AI in Sexual and Reproductive Health and Rights: Protocol for a Scoping Review. JMIR Research Protocols. 13. e53888–e53888. 4 indexed citations

Alsalamah, Shada, et al.. (2023). From Assessment to Action: Exploring the Dynamics Between Maturity Assessments and Strategy Implementation in Digital Health. Studies in health technology and informatics. 305. 257–260.

Näher, Anatol‐Fiete, Carina Nina Vorisek, Sophie Anne Inès Klopfenstein, et al.. (2023). Secondary data for global health digitalisation. The Lancet Digital Health. 5(2). e93–e101. 28 indexed citations

Goodman, Kenneth W., Sergio Litewka, Rohit Malpani, Sameer Pujari, & Andreas Reis. (2023). Global health and big data: The WHO’s artificial intelligence guidance. South African Journal of Science. 119(5/6). 5 indexed citations

10.

Loveys, Kate, Matthew Prina, Elizabeth Broadbent, et al.. (2022). Artificial intelligence for older people receiving long-term care: a systematic review of acceptability and effectiveness studies. The Lancet Healthy Longevity. 3(4). e286–e297. 48 indexed citations

11.

Reis, Andreas, et al.. (2021). Leveraging artificial intelligence to assist the ethical and science-based distribution of COVID-19 vaccines. Journal of Global Health. 11. 3124–3124. 2 indexed citations

12.

Wiegand, Thomas, Ramesh Krishnamurthy, Naomi Lee, et al.. (2019). WHO and ITU establish benchmarking process for artificial intelligence in health. The Lancet. 394(10192). 9–11. 41 indexed citations

13.

Kaur, Jagdish, et al.. (2018). Self-reported quit rates and quit attempts among subscribers of a mobile text messaging-based tobacco cessation programme in India. BMJ Innovations. 4(4). 147–154. 32 indexed citations

14.

Novotny, Thomas E., et al.. (2015). The environmental and health impacts of tobacco agriculture, cigarette manufacture and consumption. Bulletin of the World Health Organization. 93(12). 877–880. 55 indexed citations

15.

Yusoff, Muhammad Fadhli Mohd, et al.. (2013). Methodology of Global Adult Tobacco Survey (GATS), Malaysia, 2011.. PubMed. 3(2). 297–305. 29 indexed citations

16.

Palipudi, Krishna, Jeremy Morton, Jason Hsia, et al.. (2013). Methodology of the Global Adult Tobacco Survey — 2008–2010. Global Health Promotion. 23(2_suppl). 3–23. 79 indexed citations

17.

Pujari, Sameer, et al.. (2012). Electronic Data Collection and Management System for Global Adult Tobacco Survey. Online Journal of Public Health Informatics. 4(2). 7 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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