Bashar Alhafni

524 total citations
13 papers, 120 citations indexed

About

Bashar Alhafni is a scholar working on Artificial Intelligence, Communication and Statistical and Nonlinear Physics. According to data from OpenAlex, Bashar Alhafni has authored 13 papers receiving a total of 120 indexed citations (citations by other indexed papers that have themselves been cited), including 12 papers in Artificial Intelligence, 1 paper in Communication and 1 paper in Statistical and Nonlinear Physics. Recurrent topics in Bashar Alhafni's work include Natural Language Processing Techniques (10 papers), Text Readability and Simplification (8 papers) and Topic Modeling (6 papers). Bashar Alhafni is often cited by papers focused on Natural Language Processing Techniques (10 papers), Text Readability and Simplification (8 papers) and Topic Modeling (6 papers). Bashar Alhafni collaborates with scholars based in United States, Qatar and United Arab Emirates. Bashar Alhafni's co-authors include Nizar Habash, Dima Taji, Salam Khalifa, Nasser Zalmout, Mai Oudah, Go Inoue, Fadhl Eryani, Alexander Erdmann, Ossama Obeid and Houda Bouamor and has published in prestigious journals such as Language Resources and Evaluation and Proceedings of the 2022 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies.

In The Last Decade

Bashar Alhafni

8 papers receiving 112 citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name	h						Papers	Cites
Bashar Alhafni United States	4	118	12	10	10	7	13	120
Dima Taji United States	6	152 1.3×	16 1.3×	19 1.9×	13 1.3×	9 1.3×	12	169
Shachi Dave United States	6	134 1.1×	24 2.0×	8 0.8×	21 2.1×	4 0.6×	10	147
Abdelhadi Soudi Morocco	4	98 0.8×	17 1.4×	11 1.1×	15 1.5×	3 0.4×	9	106
Marco Antonio Sobrevilla Cabezudo Brazil	6	85 0.7×	8 0.7×	6 0.6×	7 0.7×	3 0.4×	18	89
Liane Guillou United Kingdom	9	229 1.9×	19 1.6×	10 1.0×	15 1.5×	3 0.4×	18	240
Harsh Jhamtani United States	7	81 0.7×	22 1.8×	13 1.3×	4 0.4×	12 1.7×	14	102
Hugo Hernault Japan	5	167 1.4×	12 1.0×	11 1.1×	9 0.9×	3 0.4×	7	174
Eva Vanmassenhove Netherlands	7	151 1.3×	20 1.7×	7 0.7×	18 1.8×	2 0.3×	17	169
Qijun Tan United States	4	160 1.4×	34 2.8×	22 2.2×	6 0.6×	6 0.9×	5	174

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).

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.

Co-authorship network of co-authors of Bashar Alhafni

This figure shows the co-authorship network connecting the top 25 collaborators of Bashar Alhafni. A scholar is included among the top collaborators of Bashar Alhafni based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Bashar Alhafni. Bashar Alhafni is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

Sort: Min cites: Since: Top N: Style:

13 of 13 papers shown

1.

Alhafni, Bashar & Nizar Habash. (2025). Enhancing Text Editing for Grammatical Error Correction: Arabic as a Case Study. 17892–17914.

2.

Alhafni, Bashar, et al.. (2025). Enhancing Arabic Automated Essay Scoring with Synthetic Data and Error Injection. 549–563.

3.

Alhafni, Bashar, et al.. (2024). Strategies for Arabic Readability Modeling. 55–66. 1 indexed citations

4.

Alhafni, Bashar, et al.. (2024). Exploiting Dialect Identification in Automatic Dialectal Text Normalization. 42–54.

5.

Kulkarni, Vivek, et al.. (2024). mEdIT: Multilingual Text Editing via Instruction Tuning. 979–1001.

6.

Alhafni, Bashar, et al.. (2023). Advancements in Arabic Grammatical Error Detection and Correction: An Empirical Investigation. 6430–6448. 5 indexed citations

7.

Alhafni, Bashar, Nizar Habash, Houda Bouamor, et al.. (2022). The Shared Task on Gender Rewriting. 98–107. 1 indexed citations

8.

Alhafni, Bashar, et al.. (2022). Arabic Word-level Readability Visualization for Assisted Text Simplification. 242–249. 1 indexed citations

9.

Alhafni, Bashar, et al.. (2022). CrisisLTLSum: A Benchmark for Local Crisis Event Timeline Extraction and Summarization. 5455–5477.

10.

Alhafni, Bashar, Nizar Habash, & Houda Bouamor. (2022). User-Centric Gender Rewriting. Proceedings of the 2022 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies. 618–631. 9 indexed citations

11.

Inoue, Go, et al.. (2021). The Interplay of Variant, Size, and Task Type in Arabic Pre-trained Language Models.. 92–104. 2 indexed citations

12.

Obeid, Ossama, Nasser Zalmout, Salam Khalifa, et al.. (2020). CAMeL tools: An open source python toolkit for arabic natural language processing. Language Resources and Evaluation. 7022–7032. 88 indexed citations

13.

Alhafni, Bashar, Nizar Habash, & Houda Bouamor. (2020). Gender-Aware Reinflection using Linguistically Enhanced Neural Models. 139–150. 13 indexed citations

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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