Mahmoud Ghoneim

12 papers and 170 indexed citations i.

About

Mahmoud Ghoneim is a scholar working on Artificial Intelligence, Information Systems and Molecular Biology. According to data from OpenAlex, Mahmoud Ghoneim has authored 12 papers receiving a total of 170 indexed citations (citations by other indexed papers that have themselves been cited), including 10 papers in Artificial Intelligence, 2 papers in Information Systems and 1 paper in Molecular Biology. Recurrent topics in Mahmoud Ghoneim’s work include Natural Language Processing Techniques (9 papers), Topic Modeling (7 papers) and Text Readability and Simplification (4 papers). Mahmoud Ghoneim is often cited by papers focused on Natural Language Processing Techniques (9 papers), Topic Modeling (7 papers) and Text Readability and Simplification (4 papers). Mahmoud Ghoneim collaborates with scholars based in United States, Egypt and Hong Kong. Mahmoud Ghoneim's co-authors include Mona Diab, Abdelati Hawwari, Thamar Solorio, Fahad AlGhamdi, Nicolas Rey-Villamizar, Julia Hirschberg, Elizabeth A. Blair, Steven Bethard, Alison H. Chang and Pascale Fung and has published in prestigious journals such as Language Resources and Evaluation, International Journal of Communication Networks and Information Security (IJCNIS) and CiteSeer X (The Pennsylvania State University).

In The Last Decade

Co-authorship network of co-authors of Mahmoud Ghoneim i

Fields of papers citing papers by Mahmoud Ghoneim

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Mahmoud Ghoneim

Since Specialization
Citations

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