Nadi Tomeh

16 papers and 128 indexed citations i.

About

Nadi Tomeh is a scholar working on Artificial Intelligence, Computer Vision and Pattern Recognition and Information Systems. According to data from OpenAlex, Nadi Tomeh has authored 16 papers receiving a total of 128 indexed citations (citations by other indexed papers that have themselves been cited), including 15 papers in Artificial Intelligence, 5 papers in Computer Vision and Pattern Recognition and 1 paper in Information Systems. Recurrent topics in Nadi Tomeh’s work include Natural Language Processing Techniques (13 papers), Topic Modeling (12 papers) and Text Readability and Simplification (4 papers). Nadi Tomeh is often cited by papers focused on Natural Language Processing Techniques (13 papers), Topic Modeling (12 papers) and Text Readability and Simplification (4 papers). Nadi Tomeh collaborates with scholars based in France, United States and United Arab Emirates. Nadi Tomeh's co-authors include Nizar Habash, Ramy Eskander, Owen Rambow, Ryan M. Roth, Joseph Le Roux, Guillaume Wisniewski, Thierry Charnois, Wajdi Zaghouani, Andréa Gesmundo and Marco Turchi and has published in prestigious journals such as Machine Translation, CiteSeer X (The Pennsylvania State University) and arXiv (Cornell University).

In The Last Decade

Co-authorship network of co-authors of Nadi Tomeh i

Fields of papers citing papers by Nadi Tomeh

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Nadi Tomeh

Since Specialization
Citations

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