Eshrag Ali Refaee
Impact in
- Artificial Intelligence top 5%
- Sentiment Analysis and Opinion Mining
- Natural Language Processing Techniques
- Authorship Attribution and Profiling
- Topic Modeling
- Speech Recognition and Synthesis
-
- IoT and Edge/Fog Computing
Papers in
-
- Sentiment Analysis and Opinion Mining 5
- AI in cancer detection 1
- Solar Radiation and Photovoltaics 1
- Topic Modeling 1
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- Artificial Intelligence in Healthcare 2
- Co-authors
- Verena Rieser (4 shared papers)Shervin Malmasi (1 shared paper)Mark Dras (1 shared paper)Ali Hasan Ahmad (2 shared papers)Shashi Kant Gupta (1 shared paper)Muhammad Azeem (1 shared paper)Abdullah M. Sheneamer (1 shared paper)Basem Assiri (1 shared paper)
- Journals
- Molecular Physics (1 paper)Applied Sciences (1 paper)Mathematical Biosciences & Engineering (1 paper)Wireless Communications and Mobile Computing (1 paper)Complexity (1 paper)
- Partner nations
- Saudi ArabiaUnited KingdomIndia
In The Last Decade
Eshrag Ali Refaee
19 papers receiving 382 citations
Peers
Comparison fields: 5 of 45
- Artificial Intelligence 267
- Computer Networks and Communications 36
- Geometry and Topology 16
- Health Information Management 11
- Information Systems 26
Countries citing papers authored by Eshrag Ali Refaee
This map shows the geographic impact of Eshrag Ali 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 Ali 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 Ali Refaee more than expected).
Fields of papers citing papers by Eshrag Ali Refaee
This network shows the impact of papers produced by Eshrag Ali 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 Ali Refaee. The network helps show where Eshrag Ali Refaee may publish in the future.
Co-authors
The 13 scholars most cited alongside Eshrag Ali 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 | 2014 | 125 | |
| 2 | 2016 | 58 | |
| 3 | 2022 | 47 | |
| 4 | 2015 | 24 | |
| 5 | 2016 | 20 | |
| 6 | 2014 | 19 | |
| 7 | 2017 | 18 | |
| 8 | 2021 | 18 | |
| 9 | 2022 | 18 | |
| 10 | 2021 | 10 | |
| 11 | 2022 | 10 | |
| 12 | 2024 | 9 | |
| 13 | 2023 | 8 | |
| 14 | 2022 | 7 | |
| 15 | 2021 | 2 | |
| 16 | 2022 | 2 | |
| 17 | 2022 | 2 | |
| 18 | 2023 | 2 | |
| 19 | 2025 | 2 | |
| 20 | 2021 | 0 |
About Eshrag Ali Refaee
Eshrag Ali Refaee is a scholar working on Artificial Intelligence, Health Information Management, Geometry and Topology, Computer Networks and Communications and Information Systems, having authored 20 papers that have together received 401 indexed citations. Recurring topics across this work include Sentiment Analysis and Opinion Mining (5 papers), Artificial Intelligence in Healthcare (2 papers), Graph theory and applications (2 papers), Security in Wireless Sensor Networks (2 papers), Internet of Things and AI (2 papers), AI in cancer detection (1 paper), Solar Radiation and Photovoltaics (1 paper) and Topic Modeling (1 paper). The work is most often cited by research in Artificial Intelligence (267 citations), Computer Networks and Communications (36 citations), Geometry and Topology (16 citations), Health Information Management (11 citations) and Information Systems (26 citations). Eshrag Ali Refaee has collaborated with scholars based in Saudi Arabia, United Kingdom and India. Frequent co-authors include Verena Rieser, Shervin Malmasi, Mark Dras, Ali Hasan Ahmad, Shashi Kant Gupta, Muhammad Azeem, Abdullah M. Sheneamer, Basem Assiri, Mohammad Alamgir Hossain and Rajkumar Soundrapandiyan. Their work appears in journals such as Molecular Physics, Applied Sciences, Mathematical Biosciences & Engineering, Wireless Communications and Mobile Computing and Complexity.
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.