Umi Kalthum Ngah

28 papers and 422 indexed citations i.

About

Umi Kalthum Ngah is a scholar working on Computer Vision and Pattern Recognition, Artificial Intelligence and Management, Monitoring, Policy and Law. According to data from OpenAlex, Umi Kalthum Ngah has authored 28 papers receiving a total of 422 indexed citations (citations by other indexed papers that have themselves been cited), including 13 papers in Computer Vision and Pattern Recognition, 10 papers in Artificial Intelligence and 7 papers in Management, Monitoring, Policy and Law. Recurrent topics in Umi Kalthum Ngah’s work include AI in cancer detection (7 papers), Landslides and related hazards (7 papers) and Medical Image Segmentation Techniques (5 papers). Umi Kalthum Ngah is often cited by papers focused on AI in cancer detection (7 papers), Landslides and related hazards (7 papers) and Medical Image Segmentation Techniques (5 papers). Umi Kalthum Ngah collaborates with scholars based in Malaysia, Jordan and Iraq. Umi Kalthum Ngah's co-authors include Nor Ashidi Mat Isa, Lea Tien Tay, Mutasem Sh. Alkhasawneh, Mohammad Subhi Al-Batah, Ibrahim Lutfi Shuaib, Mohd Fadzli Mohd Salleh, Khairul Azman Ahmad, Kamal Z. Zamli, Bestoun S. Ahmed and Shafaf Ibrahim and has published in prestigious journals such as Artificial Intelligence Review, Environmental Earth Sciences and The Scientific World JOURNAL.

In The Last Decade

Co-authorship network of co-authors of Umi Kalthum Ngah i

Fields of papers citing papers by Umi Kalthum Ngah

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Umi Kalthum Ngah. 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 Umi Kalthum Ngah. The network helps show where Umi Kalthum Ngah may publish in the future.

Countries citing papers authored by Umi Kalthum Ngah

Since Specialization
Citations

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