Arnisha Akhter

15 papers and 419 indexed citations i.

About

Arnisha Akhter is a scholar working on Artificial Intelligence, Radiology, Nuclear Medicine and Imaging and Health Information Management. According to data from OpenAlex, Arnisha Akhter has authored 15 papers receiving a total of 419 indexed citations (citations by other indexed papers that have themselves been cited), including 10 papers in Artificial Intelligence, 4 papers in Radiology, Nuclear Medicine and Imaging and 4 papers in Health Information Management. Recurrent topics in Arnisha Akhter’s work include COVID-19 diagnosis using AI (4 papers), Artificial Intelligence in Healthcare (4 papers) and Machine Learning in Healthcare (4 papers). Arnisha Akhter is often cited by papers focused on COVID-19 diagnosis using AI (4 papers), Artificial Intelligence in Healthcare (4 papers) and Machine Learning in Healthcare (4 papers). Arnisha Akhter collaborates with scholars based in Bangladesh, Australia and Saudi Arabia. Arnisha Akhter's co-authors include Md. Ashraf Uddin, Md. Manowarul Islam, Md. Alamin Talukder, Mohammad Ali Moni, Khondokar Fida Hasan, Bikash Kumar Paul, Mohammad Abu Yousuf, Sunil Aryal, Shahadat Uddin and Mohammad Ali Abdullah Almoyad and has published in prestigious journals such as PLoS ONE, Expert Systems with Applications and Sensors.

In The Last Decade

Co-authorship network of co-authors of Arnisha Akhter i

Fields of papers citing papers by Arnisha Akhter

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Arnisha Akhter

Since Specialization
Citations

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