Hiam Alquran

51 papers and 416 indexed citations i.

About

Hiam Alquran is a scholar working on Artificial Intelligence, Radiology, Nuclear Medicine and Imaging and Epidemiology. According to data from OpenAlex, Hiam Alquran has authored 51 papers receiving a total of 416 indexed citations (citations by other indexed papers that have themselves been cited), including 22 papers in Artificial Intelligence, 16 papers in Radiology, Nuclear Medicine and Imaging and 10 papers in Epidemiology. Recurrent topics in Hiam Alquran’s work include AI in cancer detection (20 papers), Radiomics and Machine Learning in Medical Imaging (8 papers) and Cervical Cancer and HPV Research (8 papers). Hiam Alquran is often cited by papers focused on AI in cancer detection (20 papers), Radiomics and Machine Learning in Medical Imaging (8 papers) and Cervical Cancer and HPV Research (8 papers). Hiam Alquran collaborates with scholars based in Jordan, Malaysia and Saudi Arabia. Hiam Alquran's co-authors include Isam Abu‐Qasmieh, Ali Mohammad Alqudah, Wan Azani Mustafa, Yazan Al-Issa, Amjed Al Fahoum, Ahmad Rasdan Ismail, Amin Alqudah, Nor Hazlyna Harun, Mahmood Al-khassaweneh and Hussein Al-Zoubi and has published in prestigious journals such as PLoS ONE, Applied Sciences and International Journal of Medical Informatics.

In The Last Decade

Co-authorship network of co-authors of Hiam Alquran i

Fields of papers citing papers by Hiam Alquran

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Hiam Alquran

Since Specialization
Citations

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

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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2025