Mohammed El-Abd
Impact in
- Artificial Intelligence top 2%
- Metaheuristic Optimization Algorithms Research
- Evolutionary Algorithms and Applications
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- Advanced Multi-Objective Optimization Algorithms
Papers in
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- Metaheuristic Optimization Algorithms Research 45
- Evolutionary Algorithms and Applications 34
- Neural Networks and Applications 5
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- Advanced Multi-Objective Optimization Algorithms 24
- Co-authors
- Mohamed S. Kamel (12 shared papers)Mounib Khanafer (7 shared papers)Kaizhou Gao (1 shared paper)Issam Damaj (3 shared papers)Yousry AbdulAzeem (1 shared paper)Ahmed Shaker (1 shared paper)Hassan Hassan (1 shared paper)Hossam Magdy Balaha (1 shared paper)
In The Last Decade
Mohammed El-Abd
79 papers receiving 1.2k citations
Peers
Comparison fields: 5 of 120
- Artificial Intelligence 635
- Computational Theory and Mathematics 287
- Industrial and Manufacturing Engineering 100
- Architecture 13
- Media Technology 65
Countries citing papers authored by Mohammed El-Abd
This map shows the geographic impact of Mohammed El-Abd'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 Mohammed El-Abd with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Mohammed El-Abd more than expected).
Fields of papers citing papers by Mohammed El-Abd
This network shows the impact of papers produced by Mohammed El-Abd. 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 Mohammed El-Abd. The network helps show where Mohammed El-Abd may publish in the future.
Co-authors
The 25 scholars most cited alongside Mohammed El-Abd, 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 85 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2020 | 120 | |
| 2 | 2011 | 97 | |
| 3 | 2017 | 86 | |
| 4 | 2013 | 72 | |
| 5 | 2017 | 54 | |
| 6 | 2012 | 45 | |
| 7 | 2024 | 41 | |
| 8 | 2011 | 40 | |
| 9 | 2010 | 35 | |
| 10 | 2013 | 33 | |
| 11 | 2017 | 32 | |
| 12 | 2017 | 31 | |
| 13 | 2008 | 31 | |
| 14 | 2011 | 30 | |
| 15 | 2009 | 28 | |
| 16 | 2015 | 25 | |
| 17 | 2016 | 23 | |
| 18 | 2009 | 22 | |
| 19 | 2015 | 19 | |
| 20 | 2021 | 19 |
About Mohammed El-Abd
Mohammed El-Abd is a scholar working on Artificial Intelligence, Computational Theory and Mathematics, Electrical and Electronic Engineering, Mechanical Engineering and Computer Networks and Communications, having authored 85 papers that have together received 1.3k indexed citations. Recurring topics across this work include Metaheuristic Optimization Algorithms Research (45 papers), Evolutionary Algorithms and Applications (34 papers), Advanced Multi-Objective Optimization Algorithms (24 papers), IoT-based Smart Home Systems (6 papers), Neural Networks and Applications (5 papers), Experimental Learning in Engineering (4 papers), Engineering Education and Pedagogy (3 papers) and Optimization and Search Problems (3 papers). The work is most often cited by research in Artificial Intelligence (635 citations), Computational Theory and Mathematics (287 citations), Industrial and Manufacturing Engineering (100 citations), Architecture (13 citations) and Media Technology (65 citations). Mohammed El-Abd has collaborated with scholars based in Kuwait, Canada and Australia. Frequent co-authors include Mohamed S. Kamel, Mounib Khanafer, Kaizhou Gao, Issam Damaj, Yousry AbdulAzeem, Ahmed Shaker, Hassan Hassan, Hossam Magdy Balaha, Mahmoud Badawy and M.I. Elmasry. Their work appears in journals such as Swarm and Evolutionary Computation, Results in Engineering, Neural Computing and Applications, Scientific Reports and IEEE Transactions on Intelligent Transportation Systems.
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.