Amr Badr
- Artificial Intelligence top 5%
- Computer Vision and Pattern Recognition top 10%
- Molecular Biology
- Plant Science
- Electrical and Electronic Engineering
- Co-authors
- Mohammad NassefIbrahim FaragAboul Ella HassanienHesham A. HefnyEmad NabilNashwa El-BendaryManal TantawiHowida A. Shedeed
- Topics
- Machine Learning in Bioinformatics (11 papers)vaccines and immunoinformatics approaches (8 papers)Metaheuristic Optimization Algorithms Research (8 papers)
- Journals
- SHILAP Revista de lepidopterologíaExpert Systems with ApplicationsIEEE Access
- Partner nations
- EgyptSaudi ArabiaUnited States
In The Last Decade
Amr Badr
64 papers receiving 1.0k citations
Peers
Comparison fields: 5 of 125
- Artificial Intelligence 365
- Computer Vision and Pattern Recognition 135
- Molecular Biology 132
- Plant Science 131
- Electrical and Electronic Engineering 126
Countries citing papers authored by Amr Badr
This map shows the geographic impact of Amr Badr'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 Amr Badr with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Amr Badr more than expected).
Fields of papers citing papers by Amr Badr
This network shows the impact of papers produced by Amr Badr. 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 Amr Badr. The network helps show where Amr Badr may publish in the future.
Co-authorship network of co-authors of Amr Badr
This figure shows the co-authorship network connecting the top 25 collaborators of Amr Badr. A scholar is included among the top collaborators of Amr Badr based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Amr Badr. Amr Badr is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 9 | |
| 2 | 2 | |
| 3 | 1 | |
| 4 | 4 | |
| 5 | 5 | |
| 6 | 4 | |
| 7 | 161 | |
| 8 | 5 | |
| 9 | 10 | |
| 10 | 3 | |
| 11 | 3 | |
| 12 | 97 | |
| 13 | 1 | |
| 14 | Using machine learning techniques for evaluating tomato ripeness. Expert Syst. Appl. | 1 |
| 15 | 9 | |
| 16 | 16 | |
| 17 | Cellular Evolutionary Algorithms for Solving Protein Folding Problem | 1 |
| 18 | A Decision Support System for the Egyptian Cabinet Using a Hybrid of Mining Algorithms. | 1 |
| 19 | 3 | |
| 20 | 9 |
About Amr Badr
Amr Badr is a scholar working on Artificial Intelligence, Signal Processing and Computer Vision and Pattern Recognition, having authored 70 papers that have together received 1.0k indexed citations. Recurring topics across this work include Machine Learning in Bioinformatics (11 papers), vaccines and immunoinformatics approaches (8 papers) and Metaheuristic Optimization Algorithms Research (8 papers). The work is most often cited by research in Artificial Intelligence (365 citations), Analytical Chemistry (109 citations) and Signal Processing (72 citations). Amr Badr has collaborated with scholars based in Egypt, Saudi Arabia and United States. Frequent co-authors include Mohammad Nassef, Ibrahim Farag, Aboul Ella Hassanien, Hesham A. Hefny, Emad Nabil, Nashwa El-Bendary, Manal Tantawi, Howida A. Shedeed, M. B. Abdelhalim and Khaled A. Hassan. Their work appears in journals such as SHILAP Revista de lepidopterología, Expert Systems with Applications and IEEE Access.
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.