Hamdy Mubarak

4.0k total citations · 3 hit papers
66 papers, 1.9k citations indexed

About

Hamdy Mubarak is a scholar working on Artificial Intelligence, Information Systems and Sociology and Political Science. According to data from OpenAlex, Hamdy Mubarak has authored 66 papers receiving a total of 1.9k indexed citations (citations by other indexed papers that have themselves been cited), including 62 papers in Artificial Intelligence, 12 papers in Information Systems and 6 papers in Sociology and Political Science. Recurrent topics in Hamdy Mubarak's work include Natural Language Processing Techniques (40 papers), Topic Modeling (30 papers) and Hate Speech and Cyberbullying Detection (14 papers). Hamdy Mubarak is often cited by papers focused on Natural Language Processing Techniques (40 papers), Topic Modeling (30 papers) and Hate Speech and Cyberbullying Detection (14 papers). Hamdy Mubarak collaborates with scholars based in Qatar, United States and United Kingdom. Hamdy Mubarak's co-authors include Kareem Darwish, Ahmed Abdelalí, Walid Magdy, Preslav Nakov, Nadir Durrani, Alessandro Moschitti, Lluı́s Màrquez, Younes Samih, Ahmed Ali and Çağrı Çöltekin and has published in prestigious journals such as Information Processing & Management, Language Resources and Evaluation and Natural Language Engineering.

In The Last Decade

Hamdy Mubarak

62 papers receiving 1.7k citations

Hit Papers

SemEval-2020 Task 12: Multilingual Offensive Languag... 2016 2026 2019 2022 2020 2016 2017 50 100 150 200

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Hamdy Mubarak Qatar 21 1.8k 439 192 162 127 66 1.9k
Björn Gambäck Norway 18 1.3k 0.7× 250 0.6× 118 0.6× 115 0.7× 118 0.9× 91 1.5k
Bharathi Raja Chakravarthi Ireland 25 1.4k 0.8× 194 0.4× 115 0.6× 121 0.7× 157 1.2× 83 1.4k
Muhammad Abdul-Mageed Canada 19 1.5k 0.8× 249 0.6× 137 0.7× 28 0.2× 61 0.5× 88 1.7k
Alberto Barrón‐Cedeño Spain 25 1.9k 1.0× 544 1.2× 622 3.2× 79 0.5× 95 0.7× 76 2.1k
Amitava Das India 17 1.0k 0.6× 144 0.3× 84 0.4× 51 0.3× 46 0.4× 67 1.1k
Nithum Thain United States 10 975 0.5× 223 0.5× 168 0.9× 92 0.6× 189 1.5× 20 1.1k
Thomas Davidson United States 6 1.4k 0.7× 332 0.8× 197 1.0× 205 1.3× 308 2.4× 13 1.5k
Ahmed Abdelalí Qatar 18 924 0.5× 180 0.4× 93 0.5× 73 0.5× 21 0.2× 76 1.0k
Michael Wiegand Germany 12 1.5k 0.8× 326 0.7× 153 0.8× 114 0.7× 255 2.0× 65 1.6k
Debora Nozza Italy 14 906 0.5× 139 0.3× 118 0.6× 46 0.3× 127 1.0× 38 1.1k

Countries citing papers authored by Hamdy Mubarak

Since Specialization
Citations

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

Fields of papers citing papers by Hamdy Mubarak

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Hamdy Mubarak

This figure shows the co-authorship network connecting the top 25 collaborators of Hamdy Mubarak. A scholar is included among the top collaborators of Hamdy Mubarak 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 Hamdy Mubarak. Hamdy Mubarak is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
1.
Shelmanov, Artem, Hamdy Mubarak, Evgenii Tsymbalov, et al.. (2024). Fact-Checking the Output of Large Language Models via Token-Level Uncertainty Quantification. 9367–9385. 5 indexed citations
2.
Mubarak, Hamdy, et al.. (2023). Towards Generalization of Machine Learning Models: A Case Study of Arabic Sentiment Analysis. Proceedings of the International AAAI Conference on Web and Social Media. 17. 971–980. 2 indexed citations
3.
Chowdhury, Shammur Absar, et al.. (2023). SpeechBlender: Speech Augmentation Framework for Mispronunciation Data Generation. 26–30. 2 indexed citations
4.
Hasanain, Maram, Firoj Alam, Hamdy Mubarak, et al.. (2023). ArAIEval Shared Task: Persuasion Techniques and Disinformation Detection in Arabic Text. 483–493. 17 indexed citations
5.
Mubarak, Hamdy, Sabit Hassan, & Shammur Absar Chowdhury. (2023). Emojis as anchors to detect Arabic offensive language and hate speech. Natural Language Engineering. 29(6). 1436–1457. 25 indexed citations
6.
Abdelalí, Ahmed, Nadir Durrani, Cenk Demiroğlu, et al.. (2022). NatiQ: An End-to-end Text-to-Speech System for Arabic. 394–398. 3 indexed citations
7.
Alam, Firoj, Hamdy Mubarak, Wajdi Zaghouani, Giovanni Da San Martino, & Preslav Nakov. (2022). Overview of the WANLP 2022 Shared Task on Propaganda Detection in Arabic. Research Padua Archive (University of Padua). 108–118. 43 indexed citations
8.
Chowdhury, Shammur Absar, Hamdy Mubarak, Ahmed Abdelalí, et al.. (2020). A Multi-Platform Arabic News Comment Dataset for Offensive Language Detection. Language Resources and Evaluation. 6203–6212. 25 indexed citations
9.
Shon, Suwon, Ahmed Ali, Younes Samih, Hamdy Mubarak, & James Glass. (2020). ADI17: A Fine-Grained Arabic Dialect Identification Dataset. 8244–8248. 21 indexed citations
10.
Hassan, Sabit, Younes Samih, Hamdy Mubarak, & Ahmed Abdelalí. (2020). ALT at SemEval-2020 Task 12: Arabic and English Offensive Language Identification in Social Media. 1891–1897. 17 indexed citations
11.
Mubarak, Hamdy, Ahmed Abdelalí, Kareem Darwish, et al.. (2019). A System for Diacritizing Four Varieties of Arabic. 217–222. 6 indexed citations
12.
Mubarak, Hamdy. (2018). Build fast and accurate lemmatization for Arabic. Language Resources and Evaluation. 1128–1132. 6 indexed citations
13.
Magdy, Walid, et al.. (2018). Part-of-Speech Tagging for Arabic Gulf Dialect Using Bi-LSTM. Language Resources and Evaluation. 3925–3932. 11 indexed citations
14.
Nakov, Preslav, Doris Hoogeveen, Lluı́s Màrquez, et al.. (2017). SemEval-2017 Task 3: Community Question Answering. Institutional Research Information System (Università degli Studi di Trento). 27–48. 121 indexed citations
15.
Mubarak, Hamdy, Kareem Darwish, & Walid Magdy. (2017). Abusive Language Detection on Arabic Social Media. Edinburgh Research Explorer (University of Edinburgh). 52–56. 205 indexed citations breakdown →
16.
Mubarak, Hamdy & Ahmed Abdelalí. (2016). Arabic to English Person Name Transliteration using Twitter.. Language Resources and Evaluation. 351–355. 5 indexed citations
17.
Mubarak, Hamdy, Kareem Darwish, & Ahmed Abdelalí. (2015). QCRI$@$QALB-2015 Shared Task: Correction of Arabic Text for Native and Non-Native Speakers’ Errors. 150–154. 5 indexed citations
18.
Ali, Ahmed, Hamdy Mubarak, & Stephan Vogel. (2014). Advances in dialectal Arabic speech recognition: a study using Twitter to improve Egyptian ASR.. IWSLT. 19 indexed citations
19.
Darwish, Kareem, Ahmed Abdelalí, & Hamdy Mubarak. (2014). Using Stem-Templates to Improve Arabic POS and Gender/Number Tagging. Language Resources and Evaluation. 2926–2931. 23 indexed citations
20.
Mubarak, Hamdy, et al.. (2013). A review of Siddha cardiology and cardioprotective herbs.. International Journal of Herbal Medicine. 1(4). 71–75. 3 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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