Aram Bahrini

13 papers and 266 indexed citations i.

About

Aram Bahrini is a scholar working on Management Science and Operations Research, Artificial Intelligence and Radiology, Nuclear Medicine and Imaging. According to data from OpenAlex, Aram Bahrini has authored 13 papers receiving a total of 266 indexed citations (citations by other indexed papers that have themselves been cited), including 4 papers in Management Science and Operations Research, 3 papers in Artificial Intelligence and 3 papers in Radiology, Nuclear Medicine and Imaging. Recurrent topics in Aram Bahrini’s work include COVID-19 diagnosis using AI (3 papers), Energy Load and Power Forecasting (2 papers) and Customer churn and segmentation (2 papers). Aram Bahrini is often cited by papers focused on COVID-19 diagnosis using AI (3 papers), Energy Load and Power Forecasting (2 papers) and Customer churn and segmentation (2 papers). Aram Bahrini collaborates with scholars based in United States, Iran and Italy. Aram Bahrini's co-authors include Hossein Abbasimehr, Reza Paki, Robert J. Riggs, Maryam Esmaeili, Maryam Esmaeili, Ali Ebadi Torkayesh, Erfan Babaee Tırkolaee, Dragan Pamučar, Philip I. Chow and Mehdi Boukhechba and has published in prestigious journals such as Journal of Hydrology, Expert Systems with Applications and Neural Computing and Applications.

In The Last Decade

Co-authorship network of co-authors of Aram Bahrini i

Fields of papers citing papers by Aram Bahrini

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Aram Bahrini

Since Specialization
Citations

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