Fahd Alhaidari

2.0k total citations
47 papers, 1.2k citations indexed

About

Fahd Alhaidari is a scholar working on Computer Networks and Communications, Information Systems and Artificial Intelligence. According to data from OpenAlex, Fahd Alhaidari has authored 47 papers receiving a total of 1.2k indexed citations (citations by other indexed papers that have themselves been cited), including 32 papers in Computer Networks and Communications, 21 papers in Information Systems and 13 papers in Artificial Intelligence. Recurrent topics in Fahd Alhaidari's work include Network Security and Intrusion Detection (16 papers), Advanced Malware Detection Techniques (11 papers) and IoT and Edge/Fog Computing (8 papers). Fahd Alhaidari is often cited by papers focused on Network Security and Intrusion Detection (16 papers), Advanced Malware Detection Techniques (11 papers) and IoT and Edge/Fog Computing (8 papers). Fahd Alhaidari collaborates with scholars based in Saudi Arabia, United Arab Emirates and Pakistan. Fahd Alhaidari's co-authors include Khaled Salah, Mohammed H. Sqalli, Shikah J. Alsunaidi, Atta Rahman, Rami Mustafa A. Mohammad, Adnan Gutub, Dhiaa Musleh, Rachid Zagrouba, Malak Aljabri and Abdullah M. Almuhaideb and has published in prestigious journals such as SHILAP Revista de lepidopterología, IEEE Access and Sensors.

In The Last Decade

Fahd Alhaidari

43 papers receiving 1.2k 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 Alhaidari Saudi Arabia 21 727 532 365 307 143 47 1.2k
Fabio Antonelli Italy 14 856 1.2× 725 1.4× 440 1.2× 235 0.8× 105 0.7× 35 1.4k
P. Deepalakshmi India 19 560 0.8× 273 0.5× 377 1.0× 206 0.7× 148 1.0× 97 1.2k
Arijit Ukil India 17 421 0.6× 182 0.3× 344 0.9× 167 0.5× 108 0.8× 71 972
Mangal Sain South Korea 18 556 0.8× 496 0.9× 503 1.4× 162 0.5× 205 1.4× 107 1.6k
Hossam Hawash Egypt 18 427 0.6× 159 0.3× 674 1.8× 196 0.6× 237 1.7× 40 1.3k
Kalamullah Ramli Indonesia 18 278 0.4× 178 0.3× 270 0.7× 177 0.6× 125 0.9× 151 1.0k
Mohammad Mehedy Masud United Arab Emirates 21 652 0.9× 316 0.6× 1.1k 3.0× 522 1.7× 138 1.0× 80 1.7k
Marta Cimitile Italy 18 282 0.4× 425 0.8× 329 0.9× 206 0.7× 66 0.5× 105 1.0k
Aaqif Afzaal Abbasi Pakistan 14 319 0.4× 200 0.4× 363 1.0× 89 0.3× 375 2.6× 45 1.1k
Jitendra Agrawal India 15 317 0.4× 209 0.4× 531 1.5× 207 0.7× 127 0.9× 80 1.1k

Countries citing papers authored by Fahd Alhaidari

Since Specialization
Citations

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

Fields of papers citing papers by Fahd Alhaidari

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Fahd Alhaidari

This figure shows the co-authorship network connecting the top 25 collaborators of Fahd Alhaidari. A scholar is included among the top collaborators of Fahd Alhaidari 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 Alhaidari. Fahd Alhaidari 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.
Aljabri, Malak, et al.. (2023). Machine Learning-Based Detection for Unauthorized Access to IoT Devices. Journal of Sensor and Actuator Networks. 12(2). 27–27. 10 indexed citations
2.
Musleh, Dhiaa, et al.. (2023). Intrusion Detection System Using Feature Extraction with Machine Learning Algorithms in IoT. Journal of Sensor and Actuator Networks. 12(2). 29–29. 77 indexed citations
3.
Aljabri, Malak, et al.. (2023). DDoS Attack Detection in IoT-Based Networks Using Machine Learning Models: A Survey and Research Directions. Electronics. 12(14). 3103–3103. 35 indexed citations
4.
Alhaidari, Fahd, et al.. (2022). ZeVigilante: Detecting Zero-Day Malware Using Machine Learning and Sandboxing Analysis Techniques. Computational Intelligence and Neuroscience. 2022. 1–15. 24 indexed citations
5.
Alhaidari, Fahd, et al.. (2021). Extended User Preference Based Weighted Page Ranking Algorithm. 3. 1–6. 4 indexed citations
6.
Alhaidari, Fahd, Abdullah M. Almuhaideb, Shikah J. Alsunaidi, et al.. (2021). E-Triage Systems for COVID-19 Outbreak: Review and Recommendations. Sensors. 21(8). 2845–2845. 17 indexed citations
7.
Alhaidari, Fahd, et al.. (2021). A simulation work for generating a novel dataset to detect distributed denial of service attacks on Vehicular Ad hoc NETwork systems. International Journal of Distributed Sensor Networks. 17(3). 812462770–812462770. 34 indexed citations
8.
Aslam, Nida, Irfan Ullah Khan, Abdullah M. Almuhaideb, et al.. (2021). Cough Sound Detection and Diagnosis Using Artificial Intelligence Techniques: Challenges and Opportunities. IEEE Access. 9. 102327–102344. 70 indexed citations
9.
Alhaidari, Fahd, Atta Rahman, & Rachid Zagrouba. (2020). Cloud of Things: architecture, applications and challenges. Journal of Ambient Intelligence and Humanized Computing. 14(5). 5957–5975. 40 indexed citations
10.
Alhaidari, Fahd, et al.. (2020). Automatic Channel Detection Using DNN on 2D Seismic Data. Computer Systems Science and Engineering. 36(1). 57–67. 1 indexed citations
11.
Alhaidari, Fahd, et al.. (2020). User Preference Based Weighted Page Ranking Algorithm. 6 indexed citations
12.
Ahmad, Munir, Muhammad Abdul Qadir, Atta Rahman, et al.. (2020). Enhanced query processing over semantic cache for cloud based relational databases. Journal of Ambient Intelligence and Humanized Computing. 14(5). 5853–5871. 15 indexed citations
13.
Alhaidari, Fahd, et al.. (2020). Securing Communication between Fog Computing and IoT Using Constrained Application Protocol (CoAP): A Survey. Journal of Communications. 14–30. 19 indexed citations
14.
Alhaidari, Fahd, et al.. (2019). Comparison of Different Edge Detectors on General Public Images and Two-Dimensional Seismic Data. Journal of Computational and Theoretical Nanoscience. 16(5). 1794–1805. 1 indexed citations
15.
Alhaidari, Fahd & Atta Rahman. (2019). Telecommunication Networks in Disaster Management: A Review. Journal of Communications. 432–447. 2 indexed citations
16.
Qureshi, Ijaz Mansoor, et al.. (2018). Compressed Sensing for Security and Payload Enhancement in Digital Audio Steganography.. J. Inf. Hiding Multim. Signal Process.. 9. 1506–1517. 4 indexed citations
17.
Alhaidari, Fahd, Khaled Salah, Mohammed H. Sqalli, & Seyed M. Buhari. (2016). Performance Modeling and Analysis of the EDoS-Shield Mitigation. Arabian Journal for Science and Engineering. 42(2). 793–804. 14 indexed citations
18.
Alhaidari, Fahd, Mohammed H. Sqalli, & Khaled Salah. (2014). Evaluation of the Impact of EDoS Attacks Against Cloud Computing Services. Arabian Journal for Science and Engineering. 40(3). 773–785. 41 indexed citations
19.
Alhaidari, Fahd, Mohammed H. Sqalli, & Khaled Salah. (2013). Impact of CPU Utilization Thresholds and Scaling Size on Autoscaling Cloud Resources. 256–261. 60 indexed citations
20.
Alhaidari, Fahd, et al.. (2009). An Entropy-Based Countermeasure against Intelligent DoS Attacks Targeting Firewalls. 41–44. 9 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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