M. Z. Rashad

About

M. Z. Rashad is a scholar working on Artificial Intelligence, Computer Vision and Pattern Recognition and Computer Networks and Communications. According to data from OpenAlex, M. Z. Rashad has authored 41 papers receiving a total of 354 indexed citations (citations by other indexed papers that have themselves been cited), including 17 papers in Artificial Intelligence, 9 papers in Computer Vision and Pattern Recognition and 9 papers in Computer Networks and Communications. Recurrent topics in M. Z. Rashad’s work include Image Retrieval and Classification Techniques (5 papers), Quantum Computing Algorithms and Architecture (5 papers) and Cloud Computing and Resource Management (5 papers). M. Z. Rashad is often cited by papers focused on Image Retrieval and Classification Techniques (5 papers), Quantum Computing Algorithms and Architecture (5 papers) and Cloud Computing and Resource Management (5 papers). M. Z. Rashad collaborates with scholars based in Egypt, Hungary and United States. M. Z. Rashad's co-authors include Sherif E. Hussein, Reham R. Mostafa, Beih S. El-Desouky, Fatma A. Omara, Ehab Essa, Amir El-Ghamry, Abdulaziz Shehab, Ali I. Siam, T. Medhat and Latifur Khan and has published in prestigious journals such as PLoS ONE, Expert Systems with Applications and IEEE Access.

In The Last Decade

Co-authorship network of co-authors of M. Z. Rashad i

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Fields of papers citing papers by M. Z. Rashad

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by M. Z. Rashad. 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 M. Z. Rashad. The network helps show where M. Z. Rashad may publish in the future.

Countries citing papers authored by M. Z. Rashad

Since Specialization

Citations

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