Kamel H. Rahouma

26 papers and 170 indexed citations i.

About

Kamel H. Rahouma is a scholar working on Artificial Intelligence, Electrical and Electronic Engineering and Computer Vision and Pattern Recognition. According to data from OpenAlex, Kamel H. Rahouma has authored 26 papers receiving a total of 170 indexed citations (citations by other indexed papers that have themselves been cited), including 10 papers in Artificial Intelligence, 8 papers in Electrical and Electronic Engineering and 6 papers in Computer Vision and Pattern Recognition. Recurrent topics in Kamel H. Rahouma’s work include AI in cancer detection (5 papers), Brain Tumor Detection and Classification (4 papers) and Advanced MIMO Systems Optimization (3 papers). Kamel H. Rahouma is often cited by papers focused on AI in cancer detection (5 papers), Brain Tumor Detection and Classification (4 papers) and Advanced MIMO Systems Optimization (3 papers). Kamel H. Rahouma collaborates with scholars based in Egypt, Saudi Arabia and Finland. Kamel H. Rahouma's co-authors include Hesham F. A. Hamed, Wael Z. Tawfik, Salah Ibrahim, Aziza I. Hussein, Amerah Alabrah and Muhammad Zohaib and has published in prestigious journals such as IEEE Access, Journal of Energy Storage and Alexandria Engineering Journal.

In The Last Decade

Co-authorship network of co-authors of Kamel H. Rahouma i

Fields of papers citing papers by Kamel H. Rahouma

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Kamel H. Rahouma. 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 Kamel H. Rahouma. The network helps show where Kamel H. Rahouma may publish in the future.

Countries citing papers authored by Kamel H. Rahouma

Since Specialization
Citations

This map shows the geographic impact of Kamel H. Rahouma'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 Kamel H. Rahouma with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Kamel H. Rahouma 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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2025