Emad Nabil
Impact in
- Artificial Intelligence top 5%
- Metaheuristic Optimization Algorithms Research
- Evolutionary Algorithms and Applications
- Machine Learning and Data Classification
- AI in cancer detection
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- Advanced Multi-Objective Optimization Algorithms
Papers in
-
- Natural Language Processing Techniques 5
- Topic Modeling 5
- Text and Document Classification Technologies 3
- Metaheuristic Optimization Algorithms Research 3
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- Bioinformatics and Genomic Networks 4
- Gene expression and cancer classification 3
- Co-authors
- Amr Badr (7 shared papers)Essam H. Houssein (3 shared papers)Diaa Salama AbdElminaam (1 shared paper)Ibrahim Farag (5 shared papers)Mohamed Torky (1 shared paper)Wael Said (1 shared paper)Hesham Hassan (1 shared paper)Marwan Torki (6 shared papers)
- Journals
- IEEE Access (4 papers)PeerJ Computer Science (2 papers)Big Data and Cognitive Computing (2 papers)Alexandria Engineering Journal (1 paper)Arabian Journal for Science and Engineering (1 paper)
- Partner nations
- EgyptSaudi ArabiaCzechia
In The Last Decade
Emad Nabil
26 papers receiving 459 citations
Peers
Comparison fields: 5 of 92
- Artificial Intelligence 258
- Computational Theory and Mathematics 86
- Computer Vision and Pattern Recognition 82
- Industrial and Manufacturing Engineering 27
- Health Information Management 12
Countries citing papers authored by Emad Nabil
This map shows the geographic impact of Emad Nabil'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 Emad Nabil with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Emad Nabil more than expected).
Fields of papers citing papers by Emad Nabil
This network shows the impact of papers produced by Emad Nabil. 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 Emad Nabil. The network helps show where Emad Nabil may publish in the future.
Co-authors
The 21 scholars most cited alongside Emad Nabil, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 31 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2016 | 176 | |
| 2 | 2016 | 97 | |
| 3 | 2021 | 63 | |
| 4 | 2019 | 21 | |
| 5 | 2021 | 19 | |
| 6 | 2020 | 16 | |
| 7 | 2021 | 12 | |
| 8 | 2020 | 11 | |
| 9 | 2017 | 10 | |
| 10 | 2021 | 9 | |
| 11 | 2022 | 7 | |
| 12 | 2021 | 6 | |
| 13 | 2023 | 4 | |
| 14 | 2021 | 4 | |
| 15 | A Hybrid Artificial Immune Genetic Algorithm with Fuzzy Rules for Breast Cancer Diagnosis | 2008 | 4 |
| 16 | 2020 | 4 | |
| 17 | 2009 | 3 | |
| 18 | 2022 | 3 | |
| 19 | 2023 | 2 | |
| 20 | 2024 | 2 |
About Emad Nabil
Emad Nabil is a scholar working on Artificial Intelligence, Molecular Biology, Computer Vision and Pattern Recognition, Biomedical Engineering and Computer Networks and Communications, having authored 31 papers that have together received 481 indexed citations. Recurring topics across this work include Artificial Immune Systems Applications (5 papers), Natural Language Processing Techniques (5 papers), Topic Modeling (5 papers), Bioinformatics and Genomic Networks (4 papers), Text and Document Classification Technologies (3 papers), Metaheuristic Optimization Algorithms Research (3 papers), Gene expression and cancer classification (3 papers) and T-cell and B-cell Immunology (2 papers). The work is most often cited by research in Artificial Intelligence (258 citations), Computational Theory and Mathematics (86 citations), Computer Vision and Pattern Recognition (82 citations), Industrial and Manufacturing Engineering (27 citations) and Health Information Management (12 citations). Emad Nabil has collaborated with scholars based in Egypt, Saudi Arabia and Czechia. Frequent co-authors include Amr Badr, Essam H. Houssein, Diaa Salama AbdElminaam, Ibrahim Farag, Mohamed Torky, Wael Said, Hesham Hassan, Marwan Torki, Khaled Elsayed and Sherif Khattab. Their work appears in journals such as IEEE Access, PeerJ Computer Science, Big Data and Cognitive Computing, Alexandria Engineering Journal and Arabian Journal for Science and Engineering.
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.