Fahd S. Alotaibi
- Artificial Intelligence top 5%
- Topic Modeling 16
- Sentiment Analysis and Opinion Mining 8
- Natural Language Processing Techniques 8
- Text and Document Classification Technologies 7
- Advanced Text Analysis Techniques 6
- Machine Learning in Healthcare 4
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- COVID-19 diagnosis using AI 5
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- Blockchain Technology Applications and Security 3
- Co-authors
- Naif Radi AljohaniMark LeeWahab KhanAli DaudKhaled H. AlyoubiMuhammad Sher RamzanJamal Abdul NasirVishal Gupta
- Partner nations
- Saudi ArabiaChinaPakistan
In The Last Decade
Fahd S. Alotaibi
41 papers receiving 568 citations
Peers
Comparison fields: 5 of 114
- Health Information Management 153
- Medical Laboratory Technology 22
- Artificial Intelligence 334
- Health Informatics 11
- Information Systems and Management 28
Countries citing papers authored by Fahd S. Alotaibi
This map shows the geographic impact of Fahd S. Alotaibi'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 Fahd S. Alotaibi with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Fahd S. Alotaibi more than expected).
Fields of papers citing papers by Fahd S. Alotaibi
This network shows the impact of papers produced by Fahd S. Alotaibi. 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 Fahd S. Alotaibi. The network helps show where Fahd S. Alotaibi may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Fahd S. Alotaibi, 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 | 2025 | 1 | |
| 2 | 2024 | 20 | |
| 3 | 2024 | 1 | |
| 4 | 2024 | 0 | |
| 5 | 2023 | 5 | |
| 6 | 2023 | 5 | |
| 7 | 2023 | 1 | |
| 8 | 2023 | 2 | |
| 9 | 2023 | 36 | |
| 10 | 2023 | 9 | |
| 11 | 2022 | 9 | |
| 12 | 2021 | 2 | |
| 13 | 2020 | 1 | |
| 14 | 2019 | 6 | |
| 15 | 2019 | 29 | |
| 16 | 2018 | 29 | |
| 17 | 2017 | 2 | |
| 18 | A Hybrid Approach to Features Representation for Fine-grained Arabic Named Entity Recognition | 2014 | 10 |
| 19 | Automatically Developing a Fine-grained Arabic Named Entity Corpus and Gazetteer by utilizing Wikipedia | 2013 | 7 |
| 20 | Mapping Arabic Wikipedia into the Named Entities Taxonomy | 2012 | 12 |
About Fahd S. Alotaibi
Fahd S. Alotaibi is a scholar working on Health Informatics, Artificial Intelligence and Information Systems, having authored 46 papers that have together received 604 indexed citations. Recurring topics across this work include Topic Modeling (16 papers), Sentiment Analysis and Opinion Mining (8 papers), Natural Language Processing Techniques (8 papers), Text and Document Classification Technologies (7 papers), Advanced Text Analysis Techniques (6 papers), COVID-19 diagnosis using AI (5 papers), Machine Learning in Healthcare (4 papers) and Blockchain Technology Applications and Security (3 papers). The work is most often cited by research in Health Information Management (153 citations), Medical Laboratory Technology (22 citations) and Artificial Intelligence (334 citations). Fahd S. Alotaibi has collaborated with scholars based in Saudi Arabia, China and Pakistan. Frequent co-authors include Naif Radi Aljohani, Mark Lee, Wahab Khan, Ali Daud, Khaled H. Alyoubi, Muhammad Sher Ramzan, Jamal Abdul Nasir, Vishal Gupta, Gang Kou and Abdulmotaleb El Saddik. Their work appears in journals such as IEEE Access, Knowledge-Based Systems and Omega.
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.