Hamoud Alshammari

630 total citations
27 papers, 392 citations indexed

About

Hamoud Alshammari is a scholar working on Artificial Intelligence, Information Systems and Computer Networks and Communications. According to data from OpenAlex, Hamoud Alshammari has authored 27 papers receiving a total of 392 indexed citations (citations by other indexed papers that have themselves been cited), including 11 papers in Artificial Intelligence, 7 papers in Information Systems and 6 papers in Computer Networks and Communications. Recurrent topics in Hamoud Alshammari's work include Cloud Computing and Resource Management (6 papers), Spectroscopy and Chemometric Analyses (5 papers) and IoT and Edge/Fog Computing (5 papers). Hamoud Alshammari is often cited by papers focused on Cloud Computing and Resource Management (6 papers), Spectroscopy and Chemometric Analyses (5 papers) and IoT and Edge/Fog Computing (5 papers). Hamoud Alshammari collaborates with scholars based in Saudi Arabia, United States and Tunisia. Hamoud Alshammari's co-authors include Karim Gasmi, Mahmood A. Mahmood, Osama R. Shahin, Lassaad Ben Ammar, Moez Krichen, Ahmed I. Taloba, Rasha M. Abd El-Aziz, Sameh Abd El-Ghany, Hanen Karamti and Jeongkyu Lee and has published in prestigious journals such as Scientific Reports, Computers and Electronics in Agriculture and Applied Sciences.

In The Last Decade

Hamoud Alshammari

26 papers receiving 375 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Hamoud Alshammari Saudi Arabia 11 111 98 75 69 59 27 392
G. Sambasivam India 9 189 1.7× 100 1.0× 68 0.9× 71 1.0× 75 1.3× 20 447
Abhishek Raghuvanshi India 6 87 0.8× 118 1.2× 97 1.3× 41 0.6× 34 0.6× 19 383
Shweta Lamba India 12 244 2.2× 72 0.7× 69 0.9× 44 0.6× 78 1.3× 29 426
Mahmood A. Mahmood Saudi Arabia 8 75 0.7× 130 1.3× 40 0.5× 44 0.6× 41 0.7× 30 328
Naresh Kumar Trivedi India 13 319 2.9× 99 1.0× 49 0.7× 36 0.5× 119 2.0× 73 615
Ritesh Maurya India 11 41 0.4× 142 1.4× 69 0.9× 52 0.8× 22 0.4× 37 337
Ali Kartit Morocco 11 50 0.5× 110 1.1× 96 1.3× 59 0.9× 16 0.3× 54 372
S. M. Meena India 11 110 1.0× 109 1.1× 91 1.2× 17 0.2× 63 1.1× 53 418
L. Sujihelen India 8 62 0.6× 77 0.8× 48 0.6× 28 0.4× 19 0.3× 38 318
Samreen Naeem Pakistan 10 130 1.2× 93 0.9× 16 0.2× 95 1.4× 98 1.7× 26 434

Countries citing papers authored by Hamoud Alshammari

Since Specialization
Citations

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

Fields of papers citing papers by Hamoud Alshammari

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Hamoud Alshammari

This figure shows the co-authorship network connecting the top 25 collaborators of Hamoud Alshammari. A scholar is included among the top collaborators of Hamoud Alshammari 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 Hamoud Alshammari. Hamoud Alshammari 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.
Alzahrani, Abdulrahman, et al.. (2025). Intelligent integration of AI and IoT for advancing ecological health, medical services, and community prosperity. Alexandria Engineering Journal. 127. 522–540. 1 indexed citations
2.
Shahin, Osama R., et al.. (2025). Automated multi-model framework for malaria detection using deep learning and feature fusion. Scientific Reports. 15(1). 25672–25672. 2 indexed citations
3.
Gasmi, Karim, Ahmed Kharrat, Lassaad Ben Ammar, et al.. (2024). Classification of MRI brain tumors based on registration preprocessing and deep belief networks. AIMS Mathematics. 9(2). 4604–4631. 4 indexed citations
4.
Alshammari, Hamoud & Abdulrahman Alzahrani. (2023). Employing a hybrid lion-firefly algorithm for recognition and classification of olive leaf disease in Saudi Arabia. Alexandria Engineering Journal. 84. 215–226. 3 indexed citations
5.
Alshammari, Hamoud, Ahmed I. Taloba, & Osama R. Shahin. (2023). Identification of olive leaf disease through optimized deep learning approach. Alexandria Engineering Journal. 72. 213–224. 28 indexed citations
6.
Taher, Fatma, et al.. (2023). Cardiac Arrhythmia Disease Classifier Model Based on a Fuzzy Fusion Approach. Computers, materials & continua/Computers, materials & continua (Print). 75(2). 4485–4499. 3 indexed citations
7.
Shahin, Osama R., Hamoud Alshammari, Ahmed I. Taloba, & Rasha M. Abd El-Aziz. (2022). Machine Learning Approach for Autonomous Detection and Classification of COVID-19 Virus. Computers & Electrical Engineering. 101. 108055–108055. 34 indexed citations
8.
Alshammari, Hamoud, et al.. (2022). Choosing the best quality of service algorithm using OPNET simulation. International Journal of Power Electronics and Drive Systems/International Journal of Electrical and Computer Engineering. 12(4). 4079–4079.
9.
Gasmi, Karim, Hamoud Alshammari, Hanen Karamti, et al.. (2022). Tuberculosis Disease Diagnosis Based on an Optimized Machine Learning Model. Journal of Healthcare Engineering. 2022. 1–13. 52 indexed citations
10.
Alshammari, Hamoud, et al.. (2022). Optimal Deep Learning Model for Olive Disease Diagnosis Based on an Adaptive Genetic Algorithm. Wireless Communications and Mobile Computing. 2022(1). 28 indexed citations
11.
Alshammari, Hamoud, et al.. (2022). Olive Disease Classification Based on Vision Transformer and CNN Models. Computational Intelligence and Neuroscience. 2022. 1–10. 57 indexed citations
12.
Razaque, Abdul, Munif Alotaibi, Bandar Alotaibi, et al.. (2022). Anomaly Detection Paradigm for Multivariate Time Series Data Mining for Healthcare. Applied Sciences. 12(17). 8902–8902. 8 indexed citations
13.
Alshammari, Hamoud, et al.. (2022). Expansion of the olive crop based on modeling climatic variables using geographic information system (GIS) in Aljouf region KSA. Computers and Electronics in Agriculture. 202. 107280–107280. 7 indexed citations
14.
Alshammari, Hamoud & Osama R. Shahin. (2022). An Efficient Deep Learning Mechanism for the Recognition of Olive Trees in Jouf Region. Computational Intelligence and Neuroscience. 2022. 1–13. 6 indexed citations
15.
Gasmi, Karim, et al.. (2021). Optimal Deep Neural Network-Based Model for Answering Visual Medical Question. Cybernetics & Systems. 53(5). 403–424. 17 indexed citations
16.
Alshammari, Hamoud, et al.. (2020). Big IoT Healthcare Data Analytics Framework Based on Fog and Cloud Computing. Journal of Information Processing Systems. 16(6). 1238–1249. 24 indexed citations
17.
Alshammari, Hamoud, Oussama Ghorbel, Mohammed Aseeri, & Mohamed Abid. (2018). Non-Negative Matrix Factorization (NMF) for outlier detection in Wireless Sensor Networks. 506–511. 7 indexed citations
18.
Alshammari, Hamoud, et al.. (2016). Evaluate H2Hadoop and Amazon EMR performances by processing MR jobs in text data sets. 63. 1–6. 1 indexed citations
19.
Alshammari, Hamoud, et al.. (2015). Enhancing performance of Hadoop and MapReduce for scientific data using NoSQL database. 1–5. 2 indexed citations
20.
Alshammari, Hamoud, et al.. (2014). Hadoop based enhanced cloud architecture for bioinformatic algorithms. 1–5. 1 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.

Explore authors with similar magnitude of impact

Breakdown of academic impact, for papers by G. Sambasivam Breakdown of academic impact, for papers by Abhishek Raghuvanshi Breakdown of academic impact, for papers by Shweta Lamba Breakdown of academic impact, for papers by Mahmood A. Mahmood Breakdown of academic impact, for papers by Naresh Kumar Trivedi Breakdown of academic impact, for papers by Ritesh Maurya Breakdown of academic impact, for papers by Ali Kartit Breakdown of academic impact, for papers by S. M. Meena Breakdown of academic impact, for papers by L. Sujihelen Breakdown of academic impact, for papers by Samreen Naeem
Rankless by CCL
2026