Mohammad R. Eissa
Impact in
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- Artificial Intelligence in Healthcare
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- Advanced Wireless Communication Technologies
- Advanced MIMO Systems Optimization
- Optical Wireless Communication Technologies
- Energy Harvesting in Wireless Networks
- Millimeter-Wave Propagation and Modeling
Papers in
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- Diabetes Management and Research 5
- Diabetes, Cardiovascular Risks, and Lipoproteins 1
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- Machine Learning in Healthcare 2
- Data Stream Mining Techniques 1
- Co-authors
- Marwah Abdulrazzaq Naser (1 shared paper)Nor Kamariah Noordin (1 shared paper)Basheera M. Mahmmod (1 shared paper)Sadiq H. Abdulhussain (1 shared paper)Sadiq M. Sait (1 shared paper)Khaled A. Al-Utaibi (1 shared paper)Muntadher Alsabah (1 shared paper)Mohammed Benaissa (7 shared papers)
- Journals
- IEEE Journal of Biomedical and Health Informatics (2 papers)Computers in Biology and Medicine (1 paper)IEEE Access (1 paper)Talanta (1 paper)Diabetic Medicine (1 paper)
- Partner nations
- United KingdomIraqSaudi Arabia
In The Last Decade
Mohammad R. Eissa
8 papers receiving 382 citations
Mohammad R. Eissa's Hit Papers
Peers
Comparison fields: 5 of 68
- Health Information Management 43
- Electrical and Electronic Engineering 253
- Aerospace Engineering 81
- Computer Networks and Communications 68
- Endocrinology, Diabetes and Metabolism 43
Countries citing papers authored by Mohammad R. Eissa
This map shows the geographic impact of Mohammad R. Eissa'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 Mohammad R. Eissa with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Mohammad R. Eissa more than expected).
Fields of papers citing papers by Mohammad R. Eissa
This network shows the impact of papers produced by Mohammad R. Eissa. 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 Mohammad R. Eissa. The network helps show where Mohammad R. Eissa may publish in the future.
Co-authors
The 13 scholars most cited alongside Mohammad R. Eissa, 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 | 6G Wireless Communications Networks: A Comprehensive Survey Hit paper breakdown → | 2021 | 310 |
| 2 | 2020 | 36 | |
| 3 | 2022 | 18 | |
| 4 | 2020 | 10 | |
| 5 | A deep neural network application for improved prediction of HbA1c in type 1 diabetes | 2020 | 9 |
| 6 | 2020 | 7 | |
| 7 | 2022 | 7 | |
| 8 | 2023 | 3 |
About Mohammad R. Eissa
Mohammad R. Eissa is a scholar working on Endocrinology, Diabetes and Metabolism, Artificial Intelligence, Cardiology and Cardiovascular Medicine, Signal Processing and Infectious Diseases, having authored 8 papers that have together received 400 indexed citations. Recurring topics across this work include Diabetes Management and Research (5 papers), Time Series Analysis and Forecasting (2 papers), Machine Learning in Healthcare (2 papers), ECG Monitoring and Analysis (2 papers), Diabetes, Cardiovascular Risks, and Lipoproteins (1 paper), Data Stream Mining Techniques (1 paper), COVID-19 diagnosis using AI (1 paper) and Artificial Intelligence in Healthcare (1 paper). The work is most often cited by research in Health Information Management (43 citations), Electrical and Electronic Engineering (253 citations), Aerospace Engineering (81 citations), Computer Networks and Communications (68 citations) and Endocrinology, Diabetes and Metabolism (43 citations). Mohammad R. Eissa has collaborated with scholars based in United Kingdom, Iraq and Saudi Arabia. Frequent co-authors include Marwah Abdulrazzaq Naser, Nor Kamariah Noordin, Basheera M. Mahmmod, Sadiq H. Abdulhussain, Sadiq M. Sait, Khaled A. Al-Utaibi, Muntadher Alsabah, Mohammed Benaissa, Tim Good and Hui Zheng. Their work appears in journals such as IEEE Journal of Biomedical and Health Informatics, Computers in Biology and Medicine, IEEE Access, Talanta and Diabetic Medicine.
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.