Ammar Mohammed

32 papers and 908 indexed citations i.

About

Ammar Mohammed is a scholar working on Artificial Intelligence, Computer Vision and Pattern Recognition and Signal Processing. According to data from OpenAlex, Ammar Mohammed has authored 32 papers receiving a total of 908 indexed citations (citations by other indexed papers that have themselves been cited), including 19 papers in Artificial Intelligence, 7 papers in Computer Vision and Pattern Recognition and 4 papers in Signal Processing. Recurrent topics in Ammar Mohammed’s work include Topic Modeling (8 papers), Advanced Text Analysis Techniques (7 papers) and Sentiment Analysis and Opinion Mining (6 papers). Ammar Mohammed is often cited by papers focused on Topic Modeling (8 papers), Advanced Text Analysis Techniques (7 papers) and Sentiment Analysis and Opinion Mining (6 papers). Ammar Mohammed collaborates with scholars based in Egypt, Saudi Arabia and Iraq. Ammar Mohammed's co-authors include Rania Kora, Hesham A. Hefny, Wilfried Elmenreich, Jagadeesh Pasupuleti, Tamer Khatib, Eslam Amer, Ahmed Elmogy, Atef Ibrahim, Usman Tariq and Ahmed Sharaf Eldin and has published in prestigious journals such as Renewable and Sustainable Energy Reviews, Expert Systems with Applications and IEEE Access.

In The Last Decade

Co-authorship network of co-authors of Ammar Mohammed i

Fields of papers citing papers by Ammar Mohammed

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Ammar Mohammed

Since Specialization
Citations

This map shows the geographic impact of Ammar Mohammed'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 Ammar Mohammed with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Ammar Mohammed 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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2025