Mohammad Salameh

23 papers and 770 indexed citations i.

About

Mohammad Salameh is a scholar working on Artificial Intelligence, Computer Vision and Pattern Recognition and Electrical and Electronic Engineering. According to data from OpenAlex, Mohammad Salameh has authored 23 papers receiving a total of 770 indexed citations (citations by other indexed papers that have themselves been cited), including 19 papers in Artificial Intelligence, 5 papers in Computer Vision and Pattern Recognition and 3 papers in Electrical and Electronic Engineering. Recurrent topics in Mohammad Salameh’s work include Topic Modeling (8 papers), Natural Language Processing Techniques (6 papers) and Sentiment Analysis and Opinion Mining (5 papers). Mohammad Salameh is often cited by papers focused on Topic Modeling (8 papers), Natural Language Processing Techniques (6 papers) and Sentiment Analysis and Opinion Mining (5 papers). Mohammad Salameh collaborates with scholars based in Canada, China and United States. Mohammad Salameh's co-authors include Saif M. Mohammad, Svetlana Kiritchenko, Felipe Bravo-Márquez, Houda Bouamor, Nizar Habash, Randy Goebel, Hengshuai Yao, Shangling Jui, Di Niu and Wajdi Zaghouani and has published in prestigious journals such as IEEE Access, Sustainability and Journal of Artificial Intelligence Research.

In The Last Decade

Co-authorship network of co-authors of Mohammad Salameh i

Fields of papers citing papers by Mohammad Salameh

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Mohammad Salameh

Since Specialization
Citations

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