Laboni Akter

9 papers and 134 indexed citations i.

About

Laboni Akter is a scholar working on Artificial Intelligence, Radiology, Nuclear Medicine and Imaging and Health Information Management. According to data from OpenAlex, Laboni Akter has authored 9 papers receiving a total of 134 indexed citations (citations by other indexed papers that have themselves been cited), including 5 papers in Artificial Intelligence, 3 papers in Radiology, Nuclear Medicine and Imaging and 3 papers in Health Information Management. Recurrent topics in Laboni Akter’s work include Artificial Intelligence in Healthcare (3 papers), AI in cancer detection (3 papers) and Infrared Thermography in Medicine (1 paper). Laboni Akter is often cited by papers focused on Artificial Intelligence in Healthcare (3 papers), AI in cancer detection (3 papers) and Infrared Thermography in Medicine (1 paper). Laboni Akter collaborates with scholars based in Bangladesh, Saudi Arabia and United States. Laboni Akter's co-authors include M. Raihan, Etu Podder, Md. Rezwanul Haque, Md. Milon Islam, Mabrook Al‐Rakhami, Md. Monirul Islam, Jia Uddin, Anupam Kumar Bairagi, Mehedi Masud and Sultan S. Alshamrani and has published in prestigious journals such as PLoS ONE, SN Computer Science and Intelligent Automation & Soft Computing.

In The Last Decade

Co-authorship network of co-authors of Laboni Akter i

Fields of papers citing papers by Laboni Akter

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Laboni Akter

Since Specialization
Citations

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