Salma Elhag

About

Salma Elhag is a scholar working on Artificial Intelligence, Computer Networks and Communications and Information Systems. According to data from OpenAlex, Salma Elhag has authored 10 papers receiving a total of 220 indexed citations (citations by other indexed papers that have themselves been cited), including 5 papers in Artificial Intelligence, 4 papers in Computer Networks and Communications and 3 papers in Information Systems. Recurrent topics in Salma Elhag’s work include Network Security and Intrusion Detection (3 papers), Advanced Malware Detection Techniques (3 papers) and Organizational and Employee Performance (2 papers). Salma Elhag is often cited by papers focused on Network Security and Intrusion Detection (3 papers), Advanced Malware Detection Techniques (3 papers) and Organizational and Employee Performance (2 papers). Salma Elhag collaborates with scholars based in Saudi Arabia, United States and Spain. Salma Elhag's co-authors include Francisco Herrera, Saleh Alshomrani, Alberto Fernández, Abdullah Bawakid, Kawther Saeedi, Abdulrahman Altalhi, Whitney Goldner, Mohamed Izham Mohamed Ibrahim, Benjamin Swanson and Robert G. Bennett and has published in prestigious journals such as Biochemical Pharmacology, Expert Systems with Applications and IEEE Access.

In The Last Decade

Co-authorship network of co-authors of Salma Elhag i

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Fields of papers citing papers by Salma Elhag

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Salma Elhag

Since Specialization

Citations

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