Abdur Rakib

21 papers and 118 indexed citations i.

About

Abdur Rakib is a scholar working on Artificial Intelligence, Computational Theory and Mathematics and Computer Vision and Pattern Recognition. According to data from OpenAlex, Abdur Rakib has authored 21 papers receiving a total of 118 indexed citations (citations by other indexed papers that have themselves been cited), including 12 papers in Artificial Intelligence, 11 papers in Computational Theory and Mathematics and 5 papers in Computer Vision and Pattern Recognition. Recurrent topics in Abdur Rakib’s work include Logic, Reasoning, and Knowledge (9 papers), Formal Methods in Verification (5 papers) and Context-Aware Activity Recognition Systems (5 papers). Abdur Rakib is often cited by papers focused on Logic, Reasoning, and Knowledge (9 papers), Formal Methods in Verification (5 papers) and Context-Aware Activity Recognition Systems (5 papers). Abdur Rakib collaborates with scholars based in United Kingdom, Malaysia and Bangladesh. Abdur Rakib's co-authors include Brian Logan, Natasha Alechina, Hoang Nga Nguyen, Rafet Durgut, Mehmet Emin Aydın, Jahan Ara Khanam, Sun Min Lee, Young Sook Kim, So Young Kim and Lei Pan and has published in prestigious journals such as Synthese, Anti-Cancer Agents in Medicinal Chemistry and Mobile Networks and Applications.

In The Last Decade

Co-authorship network of co-authors of Abdur Rakib i

Fields of papers citing papers by Abdur Rakib

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Abdur Rakib

Since Specialization
Citations

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

Explore authors with similar magnitude of impact

Rankless by CCL
2025