Saleh Ibrahim

17 papers and 468 indexed citations i.

About

Saleh Ibrahim is a scholar working on Computer Vision and Pattern Recognition, Artificial Intelligence and Electrical and Electronic Engineering. According to data from OpenAlex, Saleh Ibrahim has authored 17 papers receiving a total of 468 indexed citations (citations by other indexed papers that have themselves been cited), including 8 papers in Computer Vision and Pattern Recognition, 6 papers in Artificial Intelligence and 5 papers in Electrical and Electronic Engineering. Recurrent topics in Saleh Ibrahim’s work include Chaos-based Image/Signal Encryption (6 papers), Cryptographic Implementations and Security (5 papers) and COVID-19 diagnosis using AI (3 papers). Saleh Ibrahim is often cited by papers focused on Chaos-based Image/Signal Encryption (6 papers), Cryptographic Implementations and Security (5 papers) and COVID-19 diagnosis using AI (3 papers). Saleh Ibrahim collaborates with scholars based in Saudi Arabia, Egypt and United States. Saleh Ibrahim's co-authors include Alaa M. Abbas, Sultan S. Alshamrani, Omar Cheikhrouhou, Ghulam Muhammad, Mehedi Masud, Ibrahim B. M. Taha, Hesham Alhumyani, M. Shamim Hossain, Diaa‐Eldin A. Mansour and Sherif S. M. Ghoneim and has published in prestigious journals such as IEEE Access, Information Sciences and Transportation Research Record Journal of the Transportation Research Board.

In The Last Decade

Co-authorship network of co-authors of Saleh Ibrahim i

Fields of papers citing papers by Saleh Ibrahim

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Saleh Ibrahim

Since Specialization
Citations

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