Ladda Suanmali

6 papers and 62 indexed citations i.

About

Ladda Suanmali is a scholar working on Artificial Intelligence, Industrial relations and Aerospace Engineering. According to data from OpenAlex, Ladda Suanmali has authored 6 papers receiving a total of 62 indexed citations (citations by other indexed papers that have themselves been cited), including 5 papers in Artificial Intelligence, 0 papers in Industrial relations and 0 papers in Aerospace Engineering. Recurrent topics in Ladda Suanmali’s work include Advanced Text Analysis Techniques (5 papers), Topic Modeling (5 papers) and Natural Language Processing Techniques (5 papers). Ladda Suanmali is often cited by papers focused on Advanced Text Analysis Techniques (5 papers), Topic Modeling (5 papers) and Natural Language Processing Techniques (5 papers). Ladda Suanmali collaborates with scholars based in Thailand, Malaysia and Yemen. Ladda Suanmali's co-authors include Naomie Salim, Mohammed Salem Binwahlan, Ahmed Hamza Osman and Saktioto Saktioto and has published in prestigious journals such as Information Processing & Management, Journal of Applied Sciences and Journal of Computer Science.

In The Last Decade

Co-authorship network of co-authors of Ladda Suanmali i

Fields of papers citing papers by Ladda Suanmali

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Ladda Suanmali

Since Specialization
Citations

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