Elfadil A. Mohamed

739 total citations
27 papers, 388 citations indexed

About

Elfadil A. Mohamed is a scholar working on Artificial Intelligence, Information Systems and Education. According to data from OpenAlex, Elfadil A. Mohamed has authored 27 papers receiving a total of 388 indexed citations (citations by other indexed papers that have themselves been cited), including 9 papers in Artificial Intelligence, 5 papers in Information Systems and 5 papers in Education. Recurrent topics in Elfadil A. Mohamed's work include Online and Blended Learning (5 papers), Stock Market Forecasting Methods (4 papers) and Online Learning and Analytics (3 papers). Elfadil A. Mohamed is often cited by papers focused on Online and Blended Learning (5 papers), Stock Market Forecasting Methods (4 papers) and Online Learning and Analytics (3 papers). Elfadil A. Mohamed collaborates with scholars based in United Arab Emirates, Saudi Arabia and Palestinian Territory. Elfadil A. Mohamed's co-authors include Nazar Zaki, Nasser Taleb, Hany Alashwal, Mirna Nachouki, Tetiana Habuza, Yauhen Statsenko, M. M. Yagoub, Malik Braik, Mohammed A. Awadallah and Mohammed Azmi Al‐Betar and has published in prestigious journals such as IEEE Access, Natural Hazards and Neural Computing and Applications.

In The Last Decade

Elfadil A. Mohamed

26 papers receiving 370 citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Elfadil A. Mohamed United Arab Emirates 13 82 80 57 51 43 27 388
Xiangming Mu United States 13 87 1.1× 77 1.0× 31 0.5× 40 0.8× 57 1.3× 47 468
El‐Sayed Atlam Japan 14 268 3.3× 132 1.6× 13 0.2× 15 0.3× 44 1.0× 46 555
Farhat Iqbal Australia 7 159 1.9× 147 1.8× 35 0.6× 14 0.3× 51 1.2× 10 445
Dewi Retno Sari Saputro Indonesia 11 43 0.5× 90 1.1× 10 0.2× 195 3.8× 13 0.3× 117 502
Giovanni Stilo Italy 11 201 2.5× 99 1.2× 72 1.3× 15 0.3× 94 2.2× 48 497
Alexandra Sasha Luccioni Canada 10 135 1.6× 70 0.9× 31 0.5× 6 0.1× 47 1.1× 22 465
Bahjat Fakieh Saudi Arabia 10 119 1.5× 50 0.6× 41 0.7× 25 0.5× 30 0.7× 30 427
Russ Burtner United States 7 71 0.9× 43 0.5× 76 1.3× 3 0.1× 76 1.8× 11 464
Vibhakar Mansotra India 13 237 2.9× 67 0.8× 9 0.2× 7 0.1× 24 0.6× 58 592
Shoko Wakamiya Japan 15 213 2.6× 81 1.0× 27 0.5× 4 0.1× 111 2.6× 83 761

Countries citing papers authored by Elfadil A. Mohamed

Since Specialization
Citations

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

Fields of papers citing papers by Elfadil A. Mohamed

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Elfadil A. Mohamed

This figure shows the co-authorship network connecting the top 25 collaborators of Elfadil A. Mohamed. A scholar is included among the top collaborators of Elfadil A. 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 Elfadil A. Mohamed. Elfadil A. 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.
Mohammad, Yara, Mirna Nachouki, & Elfadil A. Mohamed. (2025). Knowledge Management Systems in Business Management Using Knowledge Graphs and Semantic Technologies. International Journal of Knowledge Management. 21(1). 1–29. 1 indexed citations
2.
3.
Al‐Betar, Mohammed Azmi, et al.. (2024). Augmented electric eel foraging optimization algorithm for feature selection with high-dimensional biological and medical diagnosis. Neural Computing and Applications. 36(35). 22171–22221. 5 indexed citations
4.
Jasmi, Fatma Al, et al.. (2024). A review of deep learning models and online healthcare databases for electronic health records and their use for health prediction. Artificial Intelligence Review. 57(9). 9 indexed citations
5.
Mohamed, Elfadil A., Malik Braik, Mohammed Azmi Al‐Betar, & Mohammed A. Awadallah. (2024). Boosted Spider Wasp Optimizer for High-dimensional Feature Selection. Journal of Bionic Engineering. 21(5). 2424–2459. 10 indexed citations
6.
Nachouki, Mirna, et al.. (2023). Student course grade prediction using the random forest algorithm: Analysis of predictors' importance. Trends in Neuroscience and Education. 33. 100214–100214. 21 indexed citations
7.
Mohamed, Elfadil A., et al.. (2023). Analysis of the Factors Affecting Student Performance Using a Neuro-Fuzzy Approach. Education Sciences. 13(3). 313–313. 17 indexed citations
8.
Mohamed, Elfadil A., et al.. (2023). The role of artificial intelligence in developing a banking risk index: an application of Adaptive Neural Network-Based Fuzzy Inference System (ANFIS). Artificial Intelligence Review. 56(11). 13873–13895. 16 indexed citations
9.
Habuza, Tetiana, Nazar Zaki, Elfadil A. Mohamed, & Yauhen Statsenko. (2022). Deviation From Model of Normal Aging in Alzheimer’s Disease: Application of Deep Learning to Structural MRI Data and Cognitive Tests. IEEE Access. 10. 53234–53249. 18 indexed citations
10.
Mohamed, Elfadil A., et al.. (2021). The Effects of E-Learning on Students’ Motivation to Learn in Higher Education. Online Learning. 25(3). 29 indexed citations
11.
Zaki, Nazar & Elfadil A. Mohamed. (2021). The estimations of the COVID-19 incubation period: A scoping reviews of the literature. Journal of Infection and Public Health. 14(5). 638–646. 59 indexed citations
12.
Mohamed, Elfadil A., et al.. (2021). Impact of corporate performance on stock price predictions in the UAE markets: Neuro‐fuzzy model. Intelligent systems in accounting, finance and management. 28(1). 52–71. 16 indexed citations
13.
Yagoub, M. M., et al.. (2020). Newspapers as a validation proxy for GIS modeling in Fujairah, United Arab Emirates: identifying flood-prone areas. Natural Hazards. 104(1). 111–141. 28 indexed citations
14.
Mohamed, Elfadil A., et al.. (2019). Designing a Generic Information Systems Audit Framework to Improve the Quality of Audit in Higher Education. Journal of Computer Science. 15(5). 664–672. 1 indexed citations
15.
Zaki, Nazar, et al.. (2019). Using Educational Data Mining Techniques to Predict Student Performance. 1–5. 23 indexed citations
16.
Mohamed, Elfadil A., et al.. (2018). Increase the Exploitation of Mars Satellite Images Via Deep Learning Techniques. 171–175. 2 indexed citations
17.
Zaki, Nazar, et al.. (2018). Link Prediction in Dynamic Social Networks: A Literature Review. 200–207. 8 indexed citations
18.
Taleb, Nasser, et al.. (2018). Evaluating the usefulness of e-learning management system delivery in higher education. International Journal of Economics and Business Research. 16(2). 162–162. 16 indexed citations
19.
Zaki, Nazar, Elfadil A. Mohamed, & Antonio Mora. (2015). Characterization of Protein Complexes and Subcomplexes in Protein-Protein Interaction Databases. Biochemistry Research International. 2015. 1–12. 1 indexed citations
20.

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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