Shadman Sakib

15 papers and 101 indexed citations i.

About

Shadman Sakib is a scholar working on Artificial Intelligence, Computer Vision and Pattern Recognition and Radiology, Nuclear Medicine and Imaging. According to data from OpenAlex, Shadman Sakib has authored 15 papers receiving a total of 101 indexed citations (citations by other indexed papers that have themselves been cited), including 9 papers in Artificial Intelligence, 3 papers in Computer Vision and Pattern Recognition and 3 papers in Radiology, Nuclear Medicine and Imaging. Recurrent topics in Shadman Sakib’s work include AI in cancer detection (3 papers), COVID-19 diagnosis using AI (3 papers) and Energy Load and Power Forecasting (2 papers). Shadman Sakib is often cited by papers focused on AI in cancer detection (3 papers), COVID-19 diagnosis using AI (3 papers) and Energy Load and Power Forecasting (2 papers). Shadman Sakib collaborates with scholars based in Bangladesh, United States and Japan. Shadman Sakib's co-authors include Mohammad Shafiul Alam, Khan Md. Hasib, Imran Razzak, Mohammad Mahmudur Rahman Khan, Md Rafiqul Islam, Md. Abu Bakr Siddique, Jubayer Al Mahmud, Md. Abdur Rahman, Md. Saifur Rahman and Nirmalya Roy and has published in prestigious journals such as IEEE Access, Advances in Space Research and Wiley Interdisciplinary Reviews Data Mining and Knowledge Discovery.

In The Last Decade

Co-authorship network of co-authors of Shadman Sakib i

Fields of papers citing papers by Shadman Sakib

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Shadman Sakib

Since Specialization
Citations

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