Khalid Almubarak
Impact in
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- Artificial Intelligence in Healthcare and Education
- Artificial Intelligence top 10%
- Topic Modeling
- Natural Language Processing Techniques
- Text Readability and Simplification
- Speech and dialogue systems
- Speech Recognition and Synthesis
- Sentiment Analysis and Opinion Mining
Papers in
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- Natural Language Processing Techniques 5
- Topic Modeling 3
- Text Readability and Simplification 2
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- Misinformation and Its Impacts 2
- Socioeconomic Development in MENA 1
- Co-authors
- Stella Biderman (2 shared papers)Zaid Alyafeai (3 shared papers)Zheng Yong (2 shared papers)Alham Fikri Aji (2 shared papers)Edward Raff (2 shared papers)Lintang Sutawika (2 shared papers)Dragomir Radev (2 shared papers)Niklas Muennighoff (2 shared papers)
- Journals
- Rare & Special e-Zone (The Hong Kong University of Science and Technology) (1 paper)International Journal of Contemporary Research and Review (1 paper)Kocaeli Üniversitesi - AVESİS (1 paper)
- Partner nations
- Saudi ArabiaUnited StatesUnited Kingdom
In The Last Decade
Khalid Almubarak
7 papers receiving 206 citations
Khalid Almubarak's Hit Papers
Peers
Comparison fields: 5 of 46
- Health Informatics 11
- Artificial Intelligence 183
- Computer Vision and Pattern Recognition 31
- General Social Sciences 4
- Anatomy 1
Countries citing papers authored by Khalid Almubarak
This map shows the geographic impact of Khalid Almubarak'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 Khalid Almubarak with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Khalid Almubarak more than expected).
Fields of papers citing papers by Khalid Almubarak
This network shows the impact of papers produced by Khalid Almubarak. 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 Khalid Almubarak. The network helps show where Khalid Almubarak may publish in the future.
Co-authors
The 25 scholars most cited alongside Khalid Almubarak, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | Crosslingual Generalization through Multitask Finetuning Hit paper breakdown → | 2023 | 190 |
| 2 | 2023 | 9 | |
| 3 | 2024 | 6 | |
| 4 | 2022 | 4 | |
| 5 | 2022 | 3 | |
| 6 | 2019 | 3 | |
| 7 | 2024 | 2 | |
| 8 | 2024 | 0 | |
| 9 | 2025 | 0 |
About Khalid Almubarak
Khalid Almubarak is a scholar working on Artificial Intelligence, Sociology and Political Science, Computer Vision and Pattern Recognition, Infectious Diseases and Education, having authored 9 papers that have together received 217 indexed citations. Recurring topics across this work include Natural Language Processing Techniques (5 papers), Topic Modeling (3 papers), Misinformation and Its Impacts (2 papers), Advanced Steganography and Watermarking Techniques (2 papers), Digital Media Forensic Detection (2 papers), Text Readability and Simplification (2 papers), Socioeconomic Development in MENA (1 paper) and Dermatological diseases and infestations (1 paper). The work is most often cited by research in Health Informatics (11 citations), Artificial Intelligence (183 citations), Computer Vision and Pattern Recognition (31 citations), General Social Sciences (4 citations) and Anatomy (1 citation). Khalid Almubarak has collaborated with scholars based in Saudi Arabia, United States and United Kingdom. Frequent co-authors include Stella Biderman, Zaid Alyafeai, Zheng Yong, Alham Fikri Aji, Edward Raff, Lintang Sutawika, Dragomir Radev, Niklas Muennighoff, Adam Roberts and Samuel Albanie. Their work appears in journals such as Rare & Special e-Zone (The Hong Kong University of Science and Technology), International Journal of Contemporary Research and Review and Kocaeli Üniversitesi - AVESİS.
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.