Mohamed Gabr

21 papers and 369 indexed citations i.

About

Mohamed Gabr is a scholar working on Computer Vision and Pattern Recognition, Artificial Intelligence and Computational Theory and Mathematics. According to data from OpenAlex, Mohamed Gabr has authored 21 papers receiving a total of 369 indexed citations (citations by other indexed papers that have themselves been cited), including 18 papers in Computer Vision and Pattern Recognition, 10 papers in Artificial Intelligence and 10 papers in Computational Theory and Mathematics. Recurrent topics in Mohamed Gabr’s work include Chaos-based Image/Signal Encryption (18 papers), Cellular Automata and Applications (10 papers) and Advanced Steganography and Watermarking Techniques (8 papers). Mohamed Gabr is often cited by papers focused on Chaos-based Image/Signal Encryption (18 papers), Cellular Automata and Applications (10 papers) and Advanced Steganography and Watermarking Techniques (8 papers). Mohamed Gabr collaborates with scholars based in Egypt, Taiwan and Malaysia. Mohamed Gabr's co-authors include Wassim Alexan, Dina El-Damak, Amr Aboshousha, Yen‐Lin Chen, Lip Yee Por, Khalid M. Hosny, George A. Papakostas, Chin Soon Ku, Karim Kamal and Mohamed A. Abd El Ghany and has published in prestigious journals such as IEEE Access, Symmetry and JACC. Clinical electrophysiology.

In The Last Decade

Co-authorship network of co-authors of Mohamed Gabr i

Fields of papers citing papers by Mohamed Gabr

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Mohamed Gabr

Since Specialization
Citations

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