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 7
- Topic Modeling 7
- Metaheuristic Optimization Algorithms Research 3
- Text and Document Classification Technologies 3
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- Bioinformatics and Genomic Networks 4
- Gene expression and cancer classification 3
- Co-authors
- Amr Badr (8 shared papers)Essam H. Houssein (3 shared papers)Diaa Salama AbdElminaam (1 shared paper)Wael Said (1 shared paper)Mohamed Torky (1 shared paper)Ibrahim Farag (5 shared papers)Marwan Torki (7 shared papers)Hesham Hassan (1 shared paper)
- Journals
- IEEE Access (4 papers)Big Data and Cognitive Computing (2 papers)PeerJ Computer Science (2 papers)Expert Systems with Applications (1 paper)Computer Methods and Programs in Biomedicine (1 paper)
- Partner nations
- EgyptSaudi ArabiaUnited States
In The Last Decade
Emad Nabil
31 papers receiving 535 citations
Peers
Comparison fields: 5 of 95
- Artificial Intelligence 297
- Computational Theory and Mathematics 102
- Computer Vision and Pattern Recognition 89
- Health Information Management 17
- Industrial and Manufacturing Engineering 28
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 22 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 36 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2016 | 198 | |
| 2 | 2016 | 107 | |
| 3 | 2021 | 70 | |
| 4 | 2019 | 27 | |
| 5 | 2021 | 19 | |
| 6 | 2020 | 18 | |
| 7 | 2017 | 13 | |
| 8 | 2021 | 12 | |
| 9 | 2020 | 12 | |
| 10 | 2021 | 11 | |
| 11 | 2022 | 7 | |
| 12 | 2021 | 6 | |
| 13 | 2023 | 6 | |
| 14 | A Hybrid Artificial Immune Genetic Algorithm with Fuzzy Rules for Breast Cancer Diagnosis | 2008 | 5 |
| 15 | 2021 | 5 | |
| 16 | 2009 | 4 | |
| 17 | 2022 | 4 | |
| 18 | 2023 | 4 | |
| 19 | 2020 | 4 | |
| 20 | 2015 | 3 |
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 36 papers that have together received 550 indexed citations. Recurring topics across this work include Natural Language Processing Techniques (7 papers), Topic Modeling (7 papers), Artificial Immune Systems Applications (5 papers), Bioinformatics and Genomic Networks (4 papers), Gene expression and cancer classification (3 papers), Oil and Gas Production Techniques (3 papers), Metaheuristic Optimization Algorithms Research (3 papers) and Text and Document Classification Technologies (3 papers). The work is most often cited by research in Artificial Intelligence (297 citations), Computational Theory and Mathematics (102 citations), Computer Vision and Pattern Recognition (89 citations), Health Information Management (17 citations) and Industrial and Manufacturing Engineering (28 citations). Emad Nabil has collaborated with scholars based in Egypt, Saudi Arabia and United States. Frequent co-authors include Amr Badr, Essam H. Houssein, Diaa Salama AbdElminaam, Wael Said, Mohamed Torky, Ibrahim Farag, Marwan Torki, Hesham Hassan, Mustafa ElNainay and M. Abdeen. Their work appears in journals such as IEEE Access, Big Data and Cognitive Computing, PeerJ Computer Science, Expert Systems with Applications and Computer Methods and Programs in Biomedicine.
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.