H. Hannah Inbarani

41 papers and 846 indexed citations i.

About

H. Hannah Inbarani is a scholar working on Computational Theory and Mathematics, Computer Vision and Pattern Recognition and Information Systems. According to data from OpenAlex, H. Hannah Inbarani has authored 41 papers receiving a total of 846 indexed citations (citations by other indexed papers that have themselves been cited), including 23 papers in Computational Theory and Mathematics, 11 papers in Computer Vision and Pattern Recognition and 9 papers in Information Systems. Recurrent topics in H. Hannah Inbarani’s work include Rough Sets and Fuzzy Logic (23 papers), Data Mining Algorithms and Applications (9 papers) and Digital Imaging for Blood Diseases (5 papers). H. Hannah Inbarani is often cited by papers focused on Rough Sets and Fuzzy Logic (23 papers), Data Mining Algorithms and Applications (9 papers) and Digital Imaging for Blood Diseases (5 papers). H. Hannah Inbarani collaborates with scholars based in India, Egypt and Saudi Arabia. H. Hannah Inbarani's co-authors include Ahmad Taher Azar, G. Jothi, Sanjay Kumar, Aboul Ella Hassanien, Kemal Polat, Andrews Samraj, Khaled M. Fouad, Nashwa Ahmad Kamal, Khaled Mohamad Almustafa and Anis Koubâa and has published in prestigious journals such as Applied Sciences, Computer Methods and Programs in Biomedicine and Neural Computing and Applications.

In The Last Decade

Co-authorship network of co-authors of H. Hannah Inbarani i

Fields of papers citing papers by H. Hannah Inbarani

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by H. Hannah Inbarani. 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 H. Hannah Inbarani. The network helps show where H. Hannah Inbarani may publish in the future.

Countries citing papers authored by H. Hannah Inbarani

Since Specialization
Citations

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