Fahd S. Alharithi

550 total citations
23 papers, 327 citations indexed

About

Fahd S. Alharithi is a scholar working on Computer Networks and Communications, Artificial Intelligence and Electrical and Electronic Engineering. According to data from OpenAlex, Fahd S. Alharithi has authored 23 papers receiving a total of 327 indexed citations (citations by other indexed papers that have themselves been cited), including 9 papers in Computer Networks and Communications, 7 papers in Artificial Intelligence and 6 papers in Electrical and Electronic Engineering. Recurrent topics in Fahd S. Alharithi's work include IoT and Edge/Fog Computing (5 papers), Energy Harvesting in Wireless Networks (3 papers) and Blockchain Technology Applications and Security (3 papers). Fahd S. Alharithi is often cited by papers focused on IoT and Edge/Fog Computing (5 papers), Energy Harvesting in Wireless Networks (3 papers) and Blockchain Technology Applications and Security (3 papers). Fahd S. Alharithi collaborates with scholars based in Saudi Arabia, India and Spain. Fahd S. Alharithi's co-authors include Roobaea Alroobaea, Ahmed Almulihi, Ahmad A. Alzahrani, Nitin Goyal, Ahmed I. Taloba, Mostafa Salem, Choonkil Park, Rasha M. Abd El-Aziz, Ahmed Elhadad and Divya Anand and has published in prestigious journals such as IEEE Access, Sensors and International Journal of Environmental Research and Public Health.

In The Last Decade

Fahd S. Alharithi

23 papers receiving 310 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Fahd S. Alharithi Saudi Arabia 10 96 91 82 53 35 23 327
M. Thenmozhi India 8 91 0.9× 113 1.2× 124 1.5× 82 1.5× 22 0.6× 43 382
Surendran Rajendran India 10 72 0.8× 95 1.0× 71 0.9× 33 0.6× 22 0.6× 30 336
Mudita Uppal India 11 50 0.5× 74 0.8× 60 0.7× 49 0.9× 24 0.7× 55 290
Abdullah M. Baqasah Saudi Arabia 11 80 0.8× 107 1.2× 106 1.3× 32 0.6× 30 0.9× 36 360
S. Prabu India 9 67 0.7× 85 0.9× 77 0.9× 56 1.1× 19 0.5× 26 322
Gurpreet Singh India 9 47 0.5× 92 1.0× 54 0.7× 46 0.9× 23 0.7× 41 256
G. Nagarajan India 11 59 0.6× 84 0.9× 94 1.1× 113 2.1× 35 1.0× 70 362
G. Geetha India 10 106 1.1× 56 0.6× 104 1.3× 85 1.6× 51 1.5× 53 349
Tonglai Liu China 9 61 0.6× 45 0.5× 50 0.6× 40 0.8× 26 0.7× 41 287
T. Tamilvizhi India 10 72 0.8× 97 1.1× 52 0.6× 27 0.5× 55 1.6× 32 310

Countries citing papers authored by Fahd S. Alharithi

Since Specialization
Citations

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

Fields of papers citing papers by Fahd S. Alharithi

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Fahd S. Alharithi. 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 Fahd S. Alharithi. The network helps show where Fahd S. Alharithi may publish in the future.

Co-authorship network of co-authors of Fahd S. Alharithi

This figure shows the co-authorship network connecting the top 25 collaborators of Fahd S. Alharithi. A scholar is included among the top collaborators of Fahd S. Alharithi 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 Fahd S. Alharithi. Fahd S. Alharithi 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.
Guleria, Kalpna, et al.. (2025). An improved routing technique for energy optimization and delay reduction for Wireless body area networks. Egyptian Informatics Journal. 29. 100630–100630. 3 indexed citations
2.
Alharithi, Fahd S. & Ahmad A. Alzahrani. (2024). Enhancing environmental sustainability with federated LSTM models for AI-driven optimization. Alexandria Engineering Journal. 108. 640–653. 6 indexed citations
3.
Dogra, Varun, et al.. (2022). NLP-Based Application for Analyzing Private and Public Banks Stocks Reaction to News Events in the Indian Stock Exchange. Systems. 10(6). 233–233. 11 indexed citations
4.
Anand, Divya, et al.. (2022). Multi-Objective Energy Efficient Adaptive Whale Optimization Based Routing for Wireless Sensor Network. Energies. 15(14). 5237–5237. 9 indexed citations
5.
Gupta, Kamali, et al.. (2022). Energy-Aware Live VM Migration Using Ballooning in Cloud Data Center. Electronics. 11(23). 3932–3932. 4 indexed citations
6.
Taneja, Ashu, et al.. (2022). Intelligent Network Solution for Improved Efficiency in 6G-Enabled Expanded IoT Network. Electronics. 11(16). 2569–2569. 5 indexed citations
7.
Verma, Vishal, Deepali Gupta, Sheifali Gupta, et al.. (2022). A Deep Learning-Based Intelligent Garbage Detection System Using an Unmanned Aerial Vehicle. Symmetry. 14(5). 960–960. 40 indexed citations
8.
Taloba, Ahmed I., Ahmed Elhadad, Rasha M. Abd El-Aziz, et al.. (2022). A blockchain-based hybrid platform for multimedia data processing in IoT-Healthcare. Alexandria Engineering Journal. 65. 263–274. 83 indexed citations
9.
Boubaker, Houcine, et al.. (2022). Deep learned BLSTM for online handwriting modeling simulating the Beta-Elliptic approach. Engineering Science and Technology an International Journal. 35. 101215–101215. 8 indexed citations
10.
Anand, Divya, et al.. (2022). A Secure Three-Party Authenticated Key Exchange Protocol for Social Networks. Computers, materials & continua/Computers, materials & continua (Print). 71(3). 6293–6305. 1 indexed citations
11.
Singh, Sunny, Devendra Prasad, Shalli Rani, et al.. (2022). Wireless Body Area Routing Protocols Impact Analysis on Entity Mobility Models with Static Sink Node. Applied Sciences. 12(11). 5655–5655. 5 indexed citations
12.
Alharithi, Fahd S., et al.. (2022). An Efficient Method for Document Correction Based on Checkerboard Calibration Pattern. Applied Sciences. 12(18). 9014–9014. 1 indexed citations
13.
Uppal, Mudita, Deepali Gupta, Divya Anand, et al.. (2022). Fault Pattern Diagnosis and Classification in Sensor Nodes Using Fall Curve. Computers, materials & continua/Computers, materials & continua (Print). 72(1). 1799–1814. 14 indexed citations
14.
15.
Kaur, Prabhjot, Shilpi Harnal, Rajeev Tiwari, et al.. (2021). A Hybrid Convolutional Neural Network Model for Diagnosis of COVID-19 Using Chest X-ray Images. International Journal of Environmental Research and Public Health. 18(22). 12191–12191. 32 indexed citations
16.
Ullah, Syed Sajid, et al.. (2021). Blended Features Classification of Leaf‐Based Cucumber Disease Using Image Processing Techniques. Complexity. 2021(1). 20 indexed citations
17.
Alharithi, Fahd S., Ahmed Almulihi, Sami Bourouis, Roobaea Alroobaea, & Nizar Bouguila. (2021). Discriminative Learning Approach Based on Flexible Mixture Model for Medical Data Categorization and Recognition. Sensors. 21(7). 2450–2450. 14 indexed citations
18.
Almulihi, Ahmed, et al.. (2021). A Software for Thorax Images Analysis Based on Deep Learning. 12(1). 60–71. 3 indexed citations
19.
Almulihi, Ahmed, et al.. (2021). Oil Spill Detection in SAR Images Using Online Extended Variational Learning of Dirichlet Process Mixtures of Gamma Distributions. Remote Sensing. 13(15). 2991–2991. 17 indexed citations
20.
Alroobaea, Roobaea, et al.. (2020). A Deep Learning Model to Predict Gender, Age and Occupation of the Celebrities based on Tweets Followers.. CLEF (Working Notes). 2 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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