Asmaa S.A. Hammad
Impact in
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- Emotion and Mood Recognition
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- EEG and Brain-Computer Interfaces
Papers in
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- Emotion and Mood Recognition 3
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- Sirtuins and Resveratrol in Medicine 1
- Co-authors
- Abd El-Majeed Amin Ali (3 shared papers)Essam Halim Houssein (4 shared papers)Marwa M. Emam (2 shared papers)Ashraf Taye (2 shared papers)Gehan Hussein Heeba (2 shared papers)Al‐Shaimaa F. Ahmed (2 shared papers)Manal Abdullah Alohali (1 shared paper)Mahmoud El‐Daly (2 shared papers)
- Journals
- Neural Computing and Applications (1 paper)Chemico-Biological Interactions (1 paper)Life Sciences (1 paper)Computers in Biology and Medicine (1 paper)Biomedical Signal Processing and Control (1 paper)
- Partner nations
- EgyptSaudi Arabia
In The Last Decade
Asmaa S.A. Hammad
7 papers receiving 349 citations
Asmaa S.A. Hammad's Hit Papers
Peers
Comparison fields: 5 of 45
- Experimental and Cognitive Psychology 200
- Cognitive Neuroscience 76
- Geriatrics and Gerontology 6
- Artificial Intelligence 32
- Human-Computer Interaction 5
Countries citing papers authored by Asmaa S.A. Hammad
This map shows the geographic impact of Asmaa S.A. Hammad'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 Asmaa S.A. Hammad with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Asmaa S.A. Hammad more than expected).
Fields of papers citing papers by Asmaa S.A. Hammad
This network shows the impact of papers produced by Asmaa S.A. Hammad. 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 Asmaa S.A. Hammad. The network helps show where Asmaa S.A. Hammad may publish in the future.
Co-authors
The 13 scholars most cited alongside Asmaa S.A. Hammad, 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 | Human emotion recognition from EEG-based brain–computer interface using machine learning: a comprehensive review Hit paper breakdown → | 2022 | 280 |
| 2 | 2024 | 32 | |
| 3 | 2019 | 17 | |
| 4 | 2024 | 16 | |
| 5 | 2023 | 9 | |
| 6 | 2022 | 5 | |
| 7 | 2018 | 2 | |
| 8 | 2026 | 0 |
About Asmaa S.A. Hammad
Asmaa S.A. Hammad is a scholar working on Experimental and Cognitive Psychology, Geriatrics and Gerontology, Oncology, Cognitive Neuroscience and Cardiology and Cardiovascular Medicine, having authored 8 papers that have together received 361 indexed citations. Recurring topics across this work include Emotion and Mood Recognition (3 papers), Cancer Treatment and Pharmacology (2 papers), Heme Oxygenase-1 and Carbon Monoxide (2 papers), EEG and Brain-Computer Interfaces (1 paper), Sirtuins and Resveratrol in Medicine (1 paper), Nitric Oxide and Endothelin Effects (1 paper), Metaheuristic Optimization Algorithms Research (1 paper) and Cardiovascular Function and Risk Factors (1 paper). The work is most often cited by research in Experimental and Cognitive Psychology (200 citations), Cognitive Neuroscience (76 citations), Geriatrics and Gerontology (6 citations), Artificial Intelligence (32 citations) and Human-Computer Interaction (5 citations). Asmaa S.A. Hammad has collaborated with scholars based in Egypt and Saudi Arabia. Frequent co-authors include Abd El-Majeed Amin Ali, Essam Halim Houssein, Marwa M. Emam, Ashraf Taye, Gehan Hussein Heeba, Al‐Shaimaa F. Ahmed, Manal Abdullah Alohali, Mahmoud El‐Daly, Nagwan M. Abdel Samee and Mohamed M. Sayed‐Ahmed. Their work appears in journals such as Neural Computing and Applications, Chemico-Biological Interactions, Life Sciences, Computers in Biology and Medicine and Biomedical Signal Processing and Control.
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.