Sabbir M. Rashid

3 papers and 418 indexed citations i.

About

Sabbir M. Rashid is a scholar working on Molecular Biology, Artificial Intelligence and Management Science and Operations Research. According to data from OpenAlex, Sabbir M. Rashid has authored 3 papers receiving a total of 418 indexed citations (citations by other indexed papers that have themselves been cited), including 2 papers in Molecular Biology, 2 papers in Artificial Intelligence and 2 papers in Management Science and Operations Research. Recurrent topics in Sabbir M. Rashid’s work include Data Quality and Management (2 papers), Biomedical Text Mining and Ontologies (2 papers) and Advanced Graph Neural Networks (1 paper). Sabbir M. Rashid is often cited by papers focused on Data Quality and Management (2 papers), Biomedical Text Mining and Ontologies (2 papers) and Advanced Graph Neural Networks (1 paper). Sabbir M. Rashid collaborates with scholars based in United States, United Kingdom and Italy. Sabbir M. Rashid's co-authors include Michael Cochez, Roberto Navigli, Axel Polleres, Steffen Staab, Antoine Zimmermann, Gerard de Melo, Claudio Gutiérrez, Juan Sequeda, Axel-Cyrille Ngonga Ngomo and Claudia d’Amato and has published in prestigious journals such as ACM Computing Surveys, Journal of Biomedical Semantics and Data Intelligence.

In The Last Decade

Co-authorship network of co-authors of Sabbir M. Rashid i

Fields of papers citing papers by Sabbir M. Rashid

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Sabbir M. Rashid. 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 Sabbir M. Rashid. The network helps show where Sabbir M. Rashid may publish in the future.

Countries citing papers authored by Sabbir M. Rashid

Since Specialization
Citations

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