Labib M. Labib

About

Labib M. Labib is a scholar working on Artificial Intelligence, Electrical and Electronic Engineering and Computer Networks and Communications. According to data from OpenAlex, Labib M. Labib has authored 12 papers receiving a total of 304 indexed citations (citations by other indexed papers that have themselves been cited), including 7 papers in Artificial Intelligence, 4 papers in Electrical and Electronic Engineering and 4 papers in Computer Networks and Communications. Recurrent topics in Labib M. Labib’s work include Mobile Ad Hoc Networks (2 papers), Gene expression and cancer classification (2 papers) and Face and Expression Recognition (2 papers). Labib M. Labib is often cited by papers focused on Mobile Ad Hoc Networks (2 papers), Gene expression and cancer classification (2 papers) and Face and Expression Recognition (2 papers). Labib M. Labib collaborates with scholars based in Egypt, Saudi Arabia and United States. Labib M. Labib's co-authors include Ahmed I. Saleh, Fatma M. Talaat, El‐Sayed M. El‐kenawy, Ali I. El-Desouky, Hesham Ali, Mohamed Shehata, Ayman El–Baz, Mohammed Ghazal, Moumen El-Melegy and Mohamed Abou El‐Ghar and has published in prestigious journals such as Sensors, Neural Computing and Applications and Artificial Intelligence Review.

In The Last Decade

Co-authorship network of co-authors of Labib M. Labib i

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Fields of papers citing papers by Labib M. Labib

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Labib M. Labib

Since Specialization

Citations

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