Sabit Hassan

485 total citations
16 papers, 201 citations indexed

About

Sabit Hassan is a scholar working on Artificial Intelligence, Information Systems and Communication. According to data from OpenAlex, Sabit Hassan has authored 16 papers receiving a total of 201 indexed citations (citations by other indexed papers that have themselves been cited), including 14 papers in Artificial Intelligence, 4 papers in Information Systems and 1 paper in Communication. Recurrent topics in Sabit Hassan's work include Hate Speech and Cyberbullying Detection (6 papers), Topic Modeling (4 papers) and Natural Language Processing Techniques (4 papers). Sabit Hassan is often cited by papers focused on Hate Speech and Cyberbullying Detection (6 papers), Topic Modeling (4 papers) and Natural Language Processing Techniques (4 papers). Sabit Hassan collaborates with scholars based in United States, Qatar and United Kingdom. Sabit Hassan's co-authors include Hamdy Mubarak, Nizar Habash, Houda Bouamor, Ahmed Abdelalí, Shammur Absar Chowdhury, Younes Samih, Srinivasa Thirumalai, Kareem Darwish, Malihe Alikhani and Meng Ye and has published in prestigious journals such as Natural Language Engineering and BMC Ophthalmology.

In The Last Decade

Sabit Hassan

15 papers receiving 164 citations

Peers

Sabit Hassan
Comparison fields: 5 of 27
  • Artificial Intelligence 171
  • Information Systems 30
  • Ophthalmology 25
  • Communication 16
  • Pathology and Forensic Medicine 12
Replace Vishakh Padmakumar with:
Vishakh Padmakumar United States
Navya Jose India
Shruti Rijhwani United States
Ann Clifton Canada
Andrey Kutuzov Norway
Heba Elfardy United States
Marco Del Tredici Netherlands
Satish Golla India
Vigneshwaran Muralidaran United Kingdom
Prasanna Kumar Kumaresan India
Vishakh Padmakumar United States View profile →
Citations per field, relative to Sabit Hassan
Sabit Hassan · 1×
Citations per year, relative to Sabit Hassan
Sabit Hassan · 1×

Countries citing papers authored by Sabit Hassan

Since Specialization
Citations

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

Fields of papers citing papers by Sabit Hassan

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Sabit Hassan

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

All Works

16 of 16 papers shown
# Work Indexed citations
1 0
2 4
3 25
4 1
5 1
6 1
7
UL2C: Mapping User Locations to Countries on Arabic Twitter
1
8
Adult Content Detection on Arabic Twitter: Analysis and Experiments
10
9 14
10
QADI: Arabic Dialect Identification in the Wild
9
11 17
12
Constructing a Bilingual Corpus of Parallel Tweets.
3
13
ALT Submission for OSACT Shared Task on Offensive Language Detection
16
14 72
15 1
16 26

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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