Eshrag Refaee
Impact in
- Artificial Intelligence top 10%
- Sentiment Analysis and Opinion Mining
- Advanced Text Analysis Techniques
- Topic Modeling
- Text and Document Classification Technologies
- Natural Language Processing Techniques
Papers in
-
- Sentiment Analysis and Opinion Mining 5
- Advanced Text Analysis Techniques 3
- Hate Speech and Cyberbullying Detection 3
- Natural Language Processing Techniques 2
- Text and Document Classification Technologies 2
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- IoT and Edge/Fog Computing 2
- Co-authors
- Verena Rieser (4 shared papers)Ali Ahmad (2 shared papers)Shashi Kant Gupta (1 shared paper)Muhammad Azeem (1 shared paper)Basem Assiri (1 shared paper)Mohammad Alamgir Hossain (1 shared paper)Rajkumar Soundrapandiyan (1 shared paper)Marimuthu Karuppiah (1 shared paper)
- Journals
- Applied Sciences (1 paper)Mathematical Biosciences & Engineering (1 paper)Molecular Physics (1 paper)Complexity (1 paper)Wireless Communications and Mobile Computing (1 paper)
- Partner nations
- Saudi ArabiaUnited KingdomIndia
In The Last Decade
Eshrag Refaee
17 papers receiving 265 citations
Peers
Comparison fields: 5 of 66
- Artificial Intelligence 175
- Health Information Management 14
- Information Systems 54
- Computer Networks and Communications 40
- Geometry and Topology 15
Countries citing papers authored by Eshrag Refaee
This map shows the geographic impact of Eshrag Refaee'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 Eshrag Refaee with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Eshrag Refaee more than expected).
Fields of papers citing papers by Eshrag Refaee
This network shows the impact of papers produced by Eshrag Refaee. 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 Eshrag Refaee. The network helps show where Eshrag Refaee may publish in the future.
Co-authors
The 11 scholars most cited alongside Eshrag Refaee, 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 | An Arabic Twitter Corpus for Subjectivity and Sentiment Analysis | 2014 | 105 |
| 2 | 2022 | 41 | |
| 3 | 2015 | 22 | |
| 4 | 2022 | 18 | |
| 5 | 2021 | 17 | |
| 6 | 2016 | 17 | |
| 7 | 2014 | 15 | |
| 8 | 2021 | 10 | |
| 9 | 2023 | 8 | |
| 10 | 2022 | 7 | |
| 11 | 2022 | 6 | |
| 12 | 2024 | 4 | |
| 13 | 2022 | 2 | |
| 14 | 2021 | 2 | |
| 15 | 2022 | 1 | |
| 16 | 2025 | 1 | |
| 17 | 2023 | 1 | |
| 18 | 2021 | 0 |
About Eshrag Refaee
Eshrag Refaee is a scholar working on Artificial Intelligence, Computer Networks and Communications, Health Information Management, Sociology and Political Science and Information Systems, having authored 18 papers that have together received 277 indexed citations. Recurring topics across this work include Sentiment Analysis and Opinion Mining (5 papers), Advanced Text Analysis Techniques (3 papers), Hate Speech and Cyberbullying Detection (3 papers), Natural Language Processing Techniques (2 papers), Spam and Phishing Detection (2 papers), Text and Document Classification Technologies (2 papers), IoT and Edge/Fog Computing (2 papers) and Artificial Intelligence in Healthcare (2 papers). The work is most often cited by research in Artificial Intelligence (175 citations), Health Information Management (14 citations), Information Systems (54 citations), Computer Networks and Communications (40 citations) and Geometry and Topology (15 citations). Eshrag Refaee has collaborated with scholars based in Saudi Arabia, United Kingdom and India. Frequent co-authors include Verena Rieser, Ali Ahmad, Shashi Kant Gupta, Muhammad Azeem, Basem Assiri, Mohammad Alamgir Hossain, Rajkumar Soundrapandiyan, Marimuthu Karuppiah, R. Janarthanan and Motaz Saad. Their work appears in journals such as Applied Sciences, Mathematical Biosciences & Engineering, Molecular Physics, Complexity and Wireless Communications and Mobile Computing.
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.