Sujan Sarker

16 papers and 291 indexed citations i.

About

Sujan Sarker is a scholar working on Computer Networks and Communications, Electrical and Electronic Engineering and Radiology, Nuclear Medicine and Imaging. According to data from OpenAlex, Sujan Sarker has authored 16 papers receiving a total of 291 indexed citations (citations by other indexed papers that have themselves been cited), including 8 papers in Computer Networks and Communications, 3 papers in Electrical and Electronic Engineering and 3 papers in Radiology, Nuclear Medicine and Imaging. Recurrent topics in Sujan Sarker’s work include IoT and Edge/Fog Computing (6 papers), COVID-19 diagnosis using AI (3 papers) and Mobile Crowdsensing and Crowdsourcing (2 papers). Sujan Sarker is often cited by papers focused on IoT and Edge/Fog Computing (6 papers), COVID-19 diagnosis using AI (3 papers) and Mobile Crowdsensing and Crowdsourcing (2 papers). Sujan Sarker collaborates with scholars based in Bangladesh, Saudi Arabia and Italy. Sujan Sarker's co-authors include Lafifa Jamal, Mohammad Mehedi Hassan, Giancarlo Fortino, Md. Abdur Razzaque, Sejuti Rahman, Md. Abdur Razzaque, Gianluca Aloi, Ahmad Almogren, MengChu Zhou and Salman A. AlQahtani and has published in prestigious journals such as IEEE Access, IEEE Internet of Things Journal and IEEE Transactions on Neural Systems and Rehabilitation Engineering.

In The Last Decade

Co-authorship network of co-authors of Sujan Sarker i

Fields of papers citing papers by Sujan Sarker

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Sujan Sarker

Since Specialization
Citations

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