Waleed M. Mohamed
- Artificial Intelligence top 2%
- Metaheuristic Optimization Algorithms Research 6
- Quantum Computing Algorithms and Architecture 3
- Quantum Information and Cryptography 3
-
- Computational Drug Discovery Methods 4
- Advanced Multi-Objective Optimization Algorithms 2
-
- Stock Market Forecasting Methods 4
- Health Information Management top 10%
-
- Air Quality Monitoring and Forecasting 2
-
- Analytical Chemistry and Chromatography 2
- Co-authors
- Essam H. HousseinMosa E. HosneyM. HassaballahMohamed ElhosenyDiego OlivaMohamed A. MahdyMaude Josée BlondinRam Sarkar
- Cited by
- Artificial IntelligenceComputational Theory and MathematicsManagement Science and Operations Research
In The Last Decade
Waleed M. Mohamed
20 papers receiving 908 citations
Peers
Comparison fields: 5 of 100
- Artificial Intelligence 542
- Computational Theory and Mathematics 230
- Management Science and Operations Research 78
- Health Informatics 8
- Health Information Management 25
Countries citing papers authored by Waleed M. Mohamed
This map shows the geographic impact of Waleed M. Mohamed'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 Waleed M. Mohamed with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Waleed M. Mohamed more than expected).
Fields of papers citing papers by Waleed M. Mohamed
This network shows the impact of papers produced by Waleed M. Mohamed. 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 Waleed M. Mohamed. The network helps show where Waleed M. Mohamed may publish in the future.
Co-authorship network
The 22 scholars most cited alongside Waleed M. Mohamed, 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 | 2025 | 0 | |
| 2 | 2025 | 2 | |
| 3 | 2025 | 0 | |
| 4 | 2025 | 0 | |
| 5 | 2025 | 1 | |
| 6 | 2024 | 19 | |
| 7 | 2024 | 2 | |
| 8 | 2023 | 16 | |
| 9 | 2023 | 9 | |
| 10 | 2022 | 41 | |
| 11 | 2022 | 8 | |
| 12 | 2022 | 84 | |
| 13 | 2021 | 4 | |
| 14 | 2021 | 53 | |
| 15 | 2021 | 48 | |
| 16 | 2021 | 134 | |
| 17 | 2020 | 88 | |
| 18 | 2020 | 24 | |
| 19 | 2020 | 29 | |
| 20 | USING SCHEMA MATCHING IN DATA TRANSFORMATIONFOR WAREHOUSING WEB DATA | 2013 | 1 |
About Waleed M. Mohamed
Waleed M. Mohamed is a scholar working on Management Science and Operations Research, Artificial Intelligence and Computational Theory and Mathematics, having authored 23 papers that have together received 931 indexed citations. Recurring topics across this work include Metaheuristic Optimization Algorithms Research (6 papers), Computational Drug Discovery Methods (4 papers), Stock Market Forecasting Methods (4 papers), Quantum Computing Algorithms and Architecture (3 papers), Quantum Information and Cryptography (3 papers), Air Quality Monitoring and Forecasting (2 papers), Advanced Multi-Objective Optimization Algorithms (2 papers) and Analytical Chemistry and Chromatography (2 papers). The work is most often cited by research in Artificial Intelligence (542 citations), Computational Theory and Mathematics (230 citations) and Management Science and Operations Research (78 citations). Waleed M. Mohamed has collaborated with scholars based in Egypt, Mexico and China. Frequent co-authors include Essam H. Houssein, Mosa E. Hosney, M. Hassaballah, Mohamed Elhoseny, Diego Oliva, Mohamed A. Mahdy, Maude Josée Blondin, Ram Sarkar, Awais Manzoor and Eman M. G. Younis. Their work appears in journals such as Scientific Reports, Expert Systems with Applications and IEEE Internet of Things Journal.
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.