Nizar Habash

134 papers and 2.8k indexed citations i.

About

Nizar Habash is a scholar working on Artificial Intelligence, Language and Linguistics and Computer Vision and Pattern Recognition. According to data from OpenAlex, Nizar Habash has authored 134 papers receiving a total of 2.8k indexed citations (citations by other indexed papers that have themselves been cited), including 132 papers in Artificial Intelligence, 17 papers in Language and Linguistics and 15 papers in Computer Vision and Pattern Recognition. Recurrent topics in Nizar Habash’s work include Natural Language Processing Techniques (121 papers), Topic Modeling (104 papers) and Text Readability and Simplification (33 papers). Nizar Habash is often cited by papers focused on Natural Language Processing Techniques (121 papers), Topic Modeling (104 papers) and Text Readability and Simplification (33 papers). Nizar Habash collaborates with scholars based in United States, United Arab Emirates and Qatar. Nizar Habash's co-authors include Owen Rambow, Fatiha Sadat, Mona Diab, Ramy Eskander, Ryan M. Roth, Nasser Zalmout, Ahmed El Kholy, Houda Bouamor, Wassim El‐Hajj and Hazem Hajj and has published in prestigious journals such as Communications of the ACM, Sociological Methodology and Computational Linguistics.

In The Last Decade

Co-authorship network of co-authors of Nizar Habash i

Fields of papers citing papers by Nizar Habash

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Nizar Habash

Since Specialization
Citations

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