Merey Ramazanova
Impact in
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- Plant and animal studies
Papers in
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- Anomaly Detection Techniques and Applications 2
- Domain Adaptation and Few-Shot Learning 1
- Natural Language Processing Techniques 1
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- Human Pose and Action Recognition 3
- Multimodal Machine Learning Applications 2
- Video Analysis and Summarization 1
- Co-authors
- Bernard Ghanem (5 shared papers)Jian You Wang (1 shared paper)Silvio Giancola (2 shared papers)Abrar Felemban (1 shared paper)Salim Al‐Babili (1 shared paper)Boubacar A. Kountche (1 shared paper)Justine Braguy (1 shared paper)Pei-Yu Lin (1 shared paper)
- Journals
- PLANT PHYSIOLOGY (1 paper)King Abdullah University of Science and Technology Repository (King Abdullah University of Science and Technology) (2 papers)
- Partner nations
- Saudi ArabiaGermanyItaly
In The Last Decade
Merey Ramazanova
3 papers receiving 41 citations
Peers
Comparison fields: 5 of 20
- Acoustics and Ultrasonics 1
- Ecology, Evolution, Behavior and Systematics 16
- Plant Science 25
- Computer Vision and Pattern Recognition 7
- Physiology 1
Countries citing papers authored by Merey Ramazanova
This map shows the geographic impact of Merey Ramazanova'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 Merey Ramazanova with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Merey Ramazanova more than expected).
Fields of papers citing papers by Merey Ramazanova
This network shows the impact of papers produced by Merey Ramazanova. 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 Merey Ramazanova. The network helps show where Merey Ramazanova may publish in the future.
Co-authors
The 20 scholars most cited alongside Merey Ramazanova, 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 | 2021 | 31 | |
| 2 | 2023 | 6 | |
| 3 | 2023 | 4 | |
| 4 | 2024 | 0 | |
| 5 | 2025 | 0 | |
| 6 | 2025 | 0 |
About Merey Ramazanova
Merey Ramazanova is a scholar working on Artificial Intelligence, Computer Vision and Pattern Recognition, Pharmacology, Ecology, Evolution, Behavior and Systematics and Complementary and alternative medicine, having authored 6 papers that have together received 41 indexed citations. Recurring topics across this work include Human Pose and Action Recognition (3 papers), Multimodal Machine Learning Applications (2 papers), Anomaly Detection Techniques and Applications (2 papers), Domain Adaptation and Few-Shot Learning (1 paper), Video Analysis and Summarization (1 paper), Natural Language Processing Techniques (1 paper), Acupuncture Treatment Research Studies (1 paper) and Plant and animal studies (1 paper). The work is most often cited by research in Acoustics and Ultrasonics (1 citation), Ecology, Evolution, Behavior and Systematics (16 citations), Plant Science (25 citations), Computer Vision and Pattern Recognition (7 citations) and Physiology (1 citation). Merey Ramazanova has collaborated with scholars based in Saudi Arabia, Germany and Italy. Frequent co-authors include Bernard Ghanem, Jian You Wang, Silvio Giancola, Abrar Felemban, Salim Al‐Babili, Boubacar A. Kountche, Justine Braguy, Pei-Yu Lin, Muhammad Jamil and Imran Haider. Their work appears in journals such as PLANT PHYSIOLOGY and King Abdullah University of Science and Technology Repository (King Abdullah University of Science and Technology).
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.