Naomie Salim

140 papers and 2.7k indexed citations i.

About

Naomie Salim is a scholar working on Artificial Intelligence, Computational Theory and Mathematics and Information Systems. According to data from OpenAlex, Naomie Salim has authored 140 papers receiving a total of 2.7k indexed citations (citations by other indexed papers that have themselves been cited), including 72 papers in Artificial Intelligence, 42 papers in Computational Theory and Mathematics and 36 papers in Information Systems. Recurrent topics in Naomie Salim’s work include Computational Drug Discovery Methods (41 papers), Topic Modeling (37 papers) and Advanced Text Analysis Techniques (28 papers). Naomie Salim is often cited by papers focused on Computational Drug Discovery Methods (41 papers), Topic Modeling (37 papers) and Advanced Text Analysis Techniques (28 papers). Naomie Salim collaborates with scholars based in Malaysia, Yemen and Saudi Arabia. Naomie Salim's co-authors include Aminu Da’u, Ammar Abdo, Peter Willett, John D. Holliday, Atefeh Heydari, Idris Rabiu, Salha M. Alzahrani, Atif Khan, Arief R. Harris and Tan Tian Swee and has published in prestigious journals such as PLoS ONE, International Journal of Molecular Sciences and Molecules.

In The Last Decade

Co-authorship network of co-authors of Naomie Salim i

Fields of papers citing papers by Naomie Salim

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Naomie Salim

Since Specialization
Citations

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