Bashar Alhafni

About

Bashar Alhafni is a scholar working on Artificial Intelligence, Statistical and Nonlinear Physics and Language and Linguistics. According to data from OpenAlex, Bashar Alhafni has authored 7 papers receiving a total of 44 indexed citations (citations by other indexed papers that have themselves been cited), including 6 papers in Artificial Intelligence, 1 paper in Statistical and Nonlinear Physics and 1 paper in Language and Linguistics. Recurrent topics in Bashar Alhafni’s work include Natural Language Processing Techniques (5 papers), Text Readability and Simplification (4 papers) and Topic Modeling (3 papers). Bashar Alhafni is often cited by papers focused on Natural Language Processing Techniques (5 papers), Text Readability and Simplification (4 papers) and Topic Modeling (3 papers). Bashar Alhafni collaborates with scholars based in United States, United Arab Emirates and Qatar. Bashar Alhafni's co-authors include Nizar Habash, Nasser Zalmout, Salam Khalifa, Alexander Erdmann, Go Inoue, Ossama Obeid, Mai Oudah, Dima Taji, Houda Bouamor and Vijay Shanker and has published in prestigious journals such as Language Resources and Evaluation, arXiv (Cornell University) and Proceedings of the 2022 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies.

In The Last Decade

Co-authorship network of co-authors of Bashar Alhafni i

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Fields of papers citing papers by Bashar Alhafni

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Bashar Alhafni

Since Specialization

Citations

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