Seibu Mary Jacob

18 papers and 243 indexed citations i.

About

Seibu Mary Jacob is a scholar working on Artificial Intelligence, Information Systems and Education. According to data from OpenAlex, Seibu Mary Jacob has authored 18 papers receiving a total of 243 indexed citations (citations by other indexed papers that have themselves been cited), including 7 papers in Artificial Intelligence, 7 papers in Information Systems and 6 papers in Education. Recurrent topics in Seibu Mary Jacob’s work include Network Security and Intrusion Detection (6 papers), Online and Blended Learning (5 papers) and Advanced Malware Detection Techniques (5 papers). Seibu Mary Jacob is often cited by papers focused on Network Security and Intrusion Detection (6 papers), Online and Blended Learning (5 papers) and Advanced Malware Detection Techniques (5 papers). Seibu Mary Jacob collaborates with scholars based in United Kingdom, Malaysia and Sweden. Seibu Mary Jacob's co-authors include Biju Issac, Longzhi Yang, Hong Kian Sam, Li Zhang, Kamlesh Mistry and Xiaohong Chen and has published in prestigious journals such as IEEE Access, IEEE Internet of Things Journal and Information Fusion.

In The Last Decade

Co-authorship network of co-authors of Seibu Mary Jacob i

Fields of papers citing papers by Seibu Mary Jacob

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Seibu Mary Jacob. 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 Seibu Mary Jacob. The network helps show where Seibu Mary Jacob may publish in the future.

Countries citing papers authored by Seibu Mary Jacob

Since Specialization
Citations

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