Mohamed Hamada

1.5k total citations
100 papers, 878 citations indexed

About

Mohamed Hamada is a scholar working on Artificial Intelligence, Computer Vision and Pattern Recognition and Information Systems. According to data from OpenAlex, Mohamed Hamada has authored 100 papers receiving a total of 878 indexed citations (citations by other indexed papers that have themselves been cited), including 41 papers in Artificial Intelligence, 29 papers in Computer Vision and Pattern Recognition and 27 papers in Information Systems. Recurrent topics in Mohamed Hamada's work include Recommender Systems and Techniques (16 papers), Advanced Data Compression Techniques (11 papers) and Online Learning and Analytics (9 papers). Mohamed Hamada is often cited by papers focused on Recommender Systems and Techniques (16 papers), Advanced Data Compression Techniques (11 papers) and Online Learning and Analytics (9 papers). Mohamed Hamada collaborates with scholars based in Japan, Nigeria and Egypt. Mohamed Hamada's co-authors include Mohammed Hassan, Md. Atiqur Rahman, Mohamed G. Hassan, Farouq Aliyu, Jungpil Shin, Md. Imtaiyaz Hassan, Nkiruka Odu, Anand Mahendran, Hazem M. El‐Bakry and Rajesh Prasad and has published in prestigious journals such as SHILAP Revista de lepidopterología, Scientific Reports and IEEE Access.

In The Last Decade

Mohamed Hamada

91 papers receiving 825 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Mohamed Hamada Japan	17	362	264	248	119	71	100	878
Sellappan Palaniappan Malaysia	14	288 0.8×	183 0.7×	244 1.0×	228 1.9×	96 1.4×	59	1.0k
Teguh Bharata Adji Indonesia	16	364 1.0×	274 1.0×	366 1.5×	43 0.4×	78 1.1×	167	1.1k
Mihaela Cocea United Kingdom	20	671 1.9×	325 1.2×	145 0.6×	201 1.7×	54 0.8×	75	1.2k
Xia Sun China	21	562 1.6×	141 0.5×	151 0.6×	167 1.4×	99 1.4×	111	1.1k
Shahreen Kasim Malaysia	16	250 0.7×	244 0.9×	134 0.5×	32 0.3×	152 2.1×	142	899
Divakar Yadav India	14	532 1.5×	246 0.9×	237 1.0×	34 0.3×	66 0.9×	108	1.0k
Álvaro Figueira Portugal	9	231 0.6×	198 0.8×	58 0.2×	151 1.3×	35 0.5×	58	696
Phivos Mylonas Greece	18	376 1.0×	253 1.0×	451 1.8×	63 0.5×	92 1.3×	176	1.2k
Antonio Bahamonde Spain	17	380 1.0×	165 0.6×	130 0.5×	40 0.3×	24 0.3×	48	793
El Habib Benlahmar Morocco	14	403 1.1×	177 0.7×	53 0.2×	60 0.5×	111 1.6×	99	793

Countries citing papers authored by Mohamed Hamada

Since Specialization

Citations

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

Fields of papers citing papers by Mohamed Hamada

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Mohamed Hamada

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

All Works

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20 of 20 papers shown

1.

Prasad, Rajesh, et al.. (2025). FairCXRnet: A Multi-Task Learning Model for Domain Adaptation in Chest X-Ray Classification for Low Resource Settings. SHILAP Revista de lepidopterología. 16–16.

2.

Hassan, Md. Imtaiyaz, et al.. (2025). Lightweight Deep Learning Models For Edge Devices—A Survey. 17. 18–18. 3 indexed citations

3.

Hassan, Md. Imtaiyaz, et al.. (2025). Lightweight Deep Learning Models For Edge Devices—A Survey. 17. 18–18. 3 indexed citations

4.

Hamada, Mohamed, et al.. (2025). Deep learning-based multi-criteria recommender system for technology-enhanced learning. Scientific Reports. 15(1). 13075–13075. 1 indexed citations

5.

Hamada, Mohamed, et al.. (2024). A regularized CNN approach for detecting cervical cancer. AIP conference proceedings. 3220. 30002–30002.

6.

Aaron, A., et al.. (2023). A Lightweight Deep Learning Model for Identifying Weeds in Corn and Soybean Using Quantization. SHILAP Revista de lepidopterología. 318–318. 4 indexed citations

7.

Hassan, Mohammed, et al.. (2022). Low-Power Deep Learning Model for Plant Disease Detection for Smart-Hydroponics Using Knowledge Distillation Techniques. Journal of Low Power Electronics and Applications. 12(2). 24–24. 18 indexed citations

8.

Hamada, Mohamed, et al.. (2022). State-of-the-Art Survey on Deep Learning-Based Recommender Systems for E-Learning. Applied Sciences. 12(23). 11996–11996. 15 indexed citations

9.

Hamada, Mohamed, et al.. (2022). A Machine Learning Method for Classification of Cervical Cancer. Electronics. 11(3). 463–463. 69 indexed citations

10.

Hassan, Mohammed, et al.. (2022). An LDA–SVM Machine Learning Model for Breast Cancer Classification. BioMedInformatics. 2(3). 345–358. 40 indexed citations

11.

Rahman, Md. Atiqur & Mohamed Hamada. (2022). A prediction-based lossless image compression procedure using dimension reduction and Huffman coding. Multimedia Tools and Applications. 82(3). 4081–4105. 4 indexed citations

12.

Rahman, Md. Atiqur & Mohamed Hamada. (2021). PCBMS: A Model to Select an Optimal Lossless Image Compression Technique. IEEE Access. 9. 167426–167433. 3 indexed citations

13.

Mahendran, Anand, et al.. (2021). A novel cryptosystem using DNA sequencing and contextual array splicing system for Medical Internet of Things. Computers & Electrical Engineering. 96. 107429–107429. 4 indexed citations

14.

Namisango, Eve, et al.. (2020). “From good hearted community members we get volunteers” – an exploratory study of palliative care volunteers across Africa. BMC Palliative Care. 19(1). 48–48. 11 indexed citations

15.

Hamada, Mohamed, et al.. (2017). A Neural Network Recommendation Approach for Improving Accuracy of Multi-criteria Collaborative Filtering. IEICE Technical Report; IEICE Tech. Rep.. 117(75). 17–20. 3 indexed citations

16.

Hamada, Mohamed. (2014). Active and collaborative learning : practices, problems and prospects. Nova Science Publishers, Inc. eBooks. 4 indexed citations

17.

Hamada, Mohamed. (2013). E-Learning: New Technology, Applications and Future Trends. Nova Science Publishers, Inc. eBooks. 3 indexed citations

18.

Hamada, Mohamed, et al.. (2013). PERVASIVENESS OF E-LEARNING AND ITS IMPACT ON THE NIGERIAN TERTIARY EDUCATIONAL SYSTEM. 2276–2284. 1 indexed citations

19.

Hamada, Mohamed. (2008). An Example of Virtual Environment and Web-based Application in Learning.. 7. 1–8. 6 indexed citations

20.

Middeldorp, Aart, et al.. (2002). Complete Selection Functions for a Lazy Conditional Narrowing Calculus.. 2002. 3 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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