Abdullah Mohamed

3.5k total citations · 1 hit paper
172 papers, 2.3k citations indexed

About

Abdullah Mohamed is a scholar working on Artificial Intelligence, Civil and Structural Engineering and Mechanical Engineering. According to data from OpenAlex, Abdullah Mohamed has authored 172 papers receiving a total of 2.3k indexed citations (citations by other indexed papers that have themselves been cited), including 39 papers in Artificial Intelligence, 28 papers in Civil and Structural Engineering and 26 papers in Mechanical Engineering. Recurrent topics in Abdullah Mohamed's work include Nanofluid Flow and Heat Transfer (17 papers), Innovative concrete reinforcement materials (17 papers) and Concrete and Cement Materials Research (17 papers). Abdullah Mohamed is often cited by papers focused on Nanofluid Flow and Heat Transfer (17 papers), Innovative concrete reinforcement materials (17 papers) and Concrete and Cement Materials Research (17 papers). Abdullah Mohamed collaborates with scholars based in Egypt, Saudi Arabia and Pakistan. Abdullah Mohamed's co-authors include Ilyas Khan, Muhammad Umer, Nikolai Vatin, Imran Ashraf, Ala’ Abdulmajid Eshmawi, Waqas Ahmad, Abdeliazim Mustafa Mohamed, Saima Sadiq, Muhammad Faisal Javed and Raid Alrowais and has published in prestigious journals such as PLoS ONE, Scientific Reports and International Journal of Hydrogen Energy.

In The Last Decade

Abdullah Mohamed

165 papers receiving 2.2k citations

Hit Papers

Computational Valuation o... 2022 2026 2023 2024 2022 50 100 150

Author Peers

Peers are selected by citation overlap in the author's most active subfields. citations · hero ref

Author Last Decade Papers Cites
Abdullah Mohamed 474 459 405 330 307 172 2.3k
Sina Ardabili 518 1.1× 161 0.4× 353 0.9× 278 0.8× 510 1.7× 72 2.8k
Jiajun Wang 224 0.5× 499 1.1× 728 1.8× 356 1.1× 179 0.6× 212 3.0k
Imad A. Basheer 356 0.8× 748 1.6× 412 1.0× 161 0.5× 569 1.9× 53 3.5k
Valentina Colla 512 1.1× 222 0.5× 1.2k 2.9× 421 1.3× 350 1.1× 216 3.3k
Danel Draguljić 381 0.8× 225 0.5× 517 1.3× 176 0.5× 116 0.4× 18 2.6k
Sumit Singh Chauhan 187 0.4× 217 0.5× 277 0.7× 173 0.5× 596 1.9× 6 2.8k
Weihua Su 390 0.8× 369 0.8× 233 0.6× 49 0.1× 209 0.7× 222 3.9k
Nan Ye 181 0.4× 1.0k 2.2× 714 1.8× 731 2.2× 336 1.1× 176 3.3k
Kanak Kalita 295 0.6× 332 0.7× 854 2.1× 81 0.2× 252 0.8× 164 2.4k
Seunghye Lee 255 0.5× 1.2k 2.6× 471 1.2× 295 0.9× 113 0.4× 93 2.3k

Countries citing papers authored by Abdullah Mohamed

Since Specialization
Citations

This map shows the geographic impact of Abdullah 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 Abdullah Mohamed with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Abdullah Mohamed more than expected).

Fields of papers citing papers by Abdullah Mohamed

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Abdullah 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 Abdullah Mohamed. The network helps show where Abdullah Mohamed may publish in the future.

Co-authorship network of co-authors of Abdullah Mohamed

This figure shows the co-authorship network connecting the top 25 collaborators of Abdullah Mohamed. A scholar is included among the top collaborators of Abdullah Mohamed 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 Abdullah Mohamed. Abdullah Mohamed is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
1.
Saleem, M. A. M., et al.. (2024). Statistical insight into the quality of reinforcing steel bars used in construction projects. Case Studies in Construction Materials. 21. e03698–e03698.
3.
Khan, Muhammad Farooq Saleem, Xu Zhou, Ghulam Bary, et al.. (2023). Method development for simultaneous estimation of Amlodipine Besylate and Perindopril Tertbutyl amine in fixed-dose. Heliyon. 9(3). e14209–e14209. 1 indexed citations
4.
Alamgeer, Mohammad, et al.. (2023). Dung Beetle Optimization with Deep Feature Fusion Model for Lung Cancer Detection and Classification. Cancers. 15(15). 3982–3982. 19 indexed citations
5.
Almuqren, Latifah, et al.. (2023). Automated Video-Based Face Detection Using Harris Hawks Optimization with Deep Learning. Computers, materials & continua/Computers, materials & continua (Print). 75(3). 4917–4933. 1 indexed citations
6.
Duhayyim, Mesfer Al, Jaber S. Alzahrani, Abdullah Mohamed, et al.. (2023). Multi-Versus Optimization with Deep Reinforcement Learning Enabled Affect Analysis on Arabic Corpus. Computer Systems Science and Engineering. 47(3). 3049–3065. 1 indexed citations
7.
Almuqren, Latifah, et al.. (2023). Blockchain-Assisted Vehicle and Cargo Matching Using Optimal Fuzzy Restricted Boltzmann Machine in Autonomous Transport System. IEEE Access. 11. 105698–105705. 3 indexed citations
8.
Mahmood, Khalid, et al.. (2023). Modified Red Fox Optimizer With Deep Learning Enabled False Data Injection Attack Detection. IEEE Access. 11. 79256–79264. 6 indexed citations
9.
Alrowais, Fadwa, Khalid Mahmood, Saud S. Alotaibi, et al.. (2023). Laryngeal Cancer Detection and Classification Using Aquila Optimization Algorithm With Deep Learning on Throat Region Images. IEEE Access. 11. 115306–115315. 12 indexed citations
10.
Ahmed, Jawad, et al.. (2023). Mixed convection phenomenon for hybrid nanofluid flow exterior to a vertical spinning cylinder with binary chemical reaction and activation energy. Case Studies in Thermal Engineering. 54. 103943–103943. 20 indexed citations
11.
12.
Alabdulkreem, Eatedal, et al.. (2023). Bone Cancer Detection and Classification Using Owl Search Algorithm With Deep Learning on X-Ray Images. IEEE Access. 11. 109095–109103. 11 indexed citations
13.
Pan, Xingchen, Yixuan Xiao, Waqas Ahmad, et al.. (2022). Use of Artificial Intelligence Methods for Predicting the Strength of Recycled Aggregate Concrete and the Influence of Raw Ingredients. Materials. 15(12). 4194–4194. 16 indexed citations
14.
Shah, Hammad Ahmed, et al.. (2022). Predicting Compressive and Splitting Tensile Strengths of Silica Fume Concrete Using M5P Model Tree Algorithm. Materials. 15(15). 5436–5436. 21 indexed citations
15.
Umer, Muhammad, Fadwa Alrowais, Abid Ishaq, et al.. (2022). Breast Cancer Detection Using Convoluted Features and Ensemble Machine Learning Algorithm. Cancers. 14(23). 6015–6015. 28 indexed citations
16.
Javed, Muhammad Faisal, Raid Alrowais, Alamgir Khalil, et al.. (2022). Predicting the Lateral Load Carrying Capacity of Reinforced Concrete Rectangular Columns: Gene Expression Programming. Materials. 15(7). 2673–2673. 14 indexed citations
17.
Liu, Chao, Naeim Farouk, Hamdi Ayed, et al.. (2022). Simulation of MHD free convection inside a square enclosure filled porous foam. Case Studies in Thermal Engineering. 32. 101901–101901. 7 indexed citations
18.
Shariffuddin, Jun Haslinda, Abdullah O. Baarimah, Amin Al‐Fakih, et al.. (2022). Elucidating the Effects of Reaction Time on the Physicochemical Characterization of Valorized Synthesized Alumina. Materials. 15(9). 3046–3046. 12 indexed citations
19.
Tripathi, Varun, Somnath Chattopadhyaya, Alok Mukhopadhyay, et al.. (2022). A Sustainable Productive Method for Enhancing Operational Excellence in Shop Floor Management for Industry 4.0 Using Hybrid Integration of Lean and Smart Manufacturing: An Ingenious Case Study. Sustainability. 14(12). 7452–7452. 31 indexed citations
20.
Zafar, Adeel, Muhammad Afzal, Muhammad Faisal Javed, et al.. (2022). Advanced Machine Learning Modeling Approach for Prediction of Compressive Strength of FRP Confined Concrete Using Multiphysics Genetic Expression Programming. Polymers. 14(9). 1789–1789. 46 indexed citations

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.

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