Mohamed H. Haggag

35 papers and 470 indexed citations i.

About

Mohamed H. Haggag is a scholar working on Artificial Intelligence, Information Systems and Computer Networks and Communications. According to data from OpenAlex, Mohamed H. Haggag has authored 35 papers receiving a total of 470 indexed citations (citations by other indexed papers that have themselves been cited), including 21 papers in Artificial Intelligence, 6 papers in Information Systems and 4 papers in Computer Networks and Communications. Recurrent topics in Mohamed H. Haggag’s work include Advanced Text Analysis Techniques (12 papers), Topic Modeling (8 papers) and Sentiment Analysis and Opinion Mining (7 papers). Mohamed H. Haggag is often cited by papers focused on Advanced Text Analysis Techniques (12 papers), Topic Modeling (8 papers) and Sentiment Analysis and Opinion Mining (7 papers). Mohamed H. Haggag collaborates with scholars based in Egypt, Saudi Arabia and United States. Mohamed H. Haggag's co-authors include Ghada Khoriba, Gehad Ismail Sayed, Alia I. Abdelmoty, Jef Poortmans, Tony Alfredo Stabile, Mohamed ElGabry, Luciano Telesca, Mohammed K. A. Kaabar, Mona F. Mahmoud and Hamiden Abd El‐Wahed Khalifa and has published in prestigious journals such as Tectonophysics, Applied Intelligence and Journal of Ambient Intelligence and Humanized Computing.

In The Last Decade

Co-authorship network of co-authors of Mohamed H. Haggag i

Fields of papers citing papers by Mohamed H. Haggag

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Mohamed H. Haggag

Since Specialization
Citations

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