Mohammad Eid Alzahrani

422 total citations
13 papers, 213 citations indexed

About

Mohammad Eid Alzahrani is a scholar working on Artificial Intelligence, Computer Networks and Communications and Signal Processing. According to data from OpenAlex, Mohammad Eid Alzahrani has authored 13 papers receiving a total of 213 indexed citations (citations by other indexed papers that have themselves been cited), including 6 papers in Artificial Intelligence, 5 papers in Computer Networks and Communications and 4 papers in Signal Processing. Recurrent topics in Mohammad Eid Alzahrani's work include Network Security and Intrusion Detection (4 papers), Advanced Malware Detection Techniques (4 papers) and Advanced Text Analysis Techniques (2 papers). Mohammad Eid Alzahrani is often cited by papers focused on Network Security and Intrusion Detection (4 papers), Advanced Malware Detection Techniques (4 papers) and Advanced Text Analysis Techniques (2 papers). Mohammad Eid Alzahrani collaborates with scholars based in Saudi Arabia, Pakistan and South Korea. Mohammad Eid Alzahrani's co-authors include Muhammad Qaiser Saleem, Nadeem Javaid, Tanzila Saba, Zahid Wadud, Osama E. Sheta, Adil Fahad, Maha M. Althobaiti, Theyazn H. H. Aldhyani, Saleh Nagi Alsubari and Waleed H. Mahallawi and has published in prestigious journals such as IEEE Access, Sensors and Saudi Journal of Biological Sciences.

In The Last Decade

Mohammad Eid Alzahrani

11 papers receiving 199 citations

Peers

Countries citing papers authored by Mohammad Eid Alzahrani

Since Specialization

Citations

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

Fields of papers citing papers by Mohammad Eid Alzahrani

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Mohammad Eid Alzahrani. 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 Mohammad Eid Alzahrani. The network helps show where Mohammad Eid Alzahrani may publish in the future.

Co-authorship network of co-authors of Mohammad Eid Alzahrani

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

All Works

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13 of 13 papers shown

#	Work	Indexed citations
1	Toward an Efficient Hybrid Clustering and Classification Approach for Fake News Detection in Social Network 2024 ·Indian Journal of Science and Technology ·(unknown), Mohammad Eid Alzahrani	0
2	Employing Incremental Learning for the Detection of Multiclass New Malware Variants 2024 ·Indian Journal of Science and Technology ·Mohammad Eid Alzahrani	0
3	Accurate and Efficient Security Authentication of IoT Devices using Machine Learning Algorithms 2024 ·(unknown), Mohammad Eid Alzahrani	2
4	Multi-Model Deep Learning Ensemble Approach for Detection of Malicious Executables 2023 ·Mohammad Eid Alzahrani	1
5	Automated Brain Hemorrhage Classification and Volume Analysis 2023 ·Computers, materials & continua/Computers, materials & continua (Print) ·(unknown), Muhammad Mateen, Tauqeer Safdar Malik, Mohammad Eid Alzahrani, Adil Fahad, Abdulmohsen Almalawi, Rizwan Ali Naqvi	3
6	Nurse Practitioners’ Perception on Research Utilization and Possible Barriers; A Saudi Arabian Experiential Perspective during Covid-19 Pandemic 2022 ·(unknown), (unknown), (unknown), Mohammad Eid Alzahrani, (unknown), (unknown), (unknown), (unknown), (unknown), (unknown), (unknown), (unknown), (unknown), (unknown), (unknown), (unknown), (unknown), (unknown), (unknown), (unknown), (unknown), (unknown), (unknown), (unknown), (unknown), (unknown), (unknown), (unknown), (unknown), (unknown), (unknown), (unknown), (unknown), (unknown), (unknown), (unknown), (unknown), (unknown), (unknown), (unknown), (unknown), (unknown), (unknown), (unknown), (unknown), (unknown), (unknown), (unknown), (unknown), (unknown), (unknown), (unknown), (unknown), (unknown), (unknown), (unknown), (unknown), (unknown), (unknown), (unknown), (unknown), (unknown), (unknown), (unknown), (unknown), (unknown), (unknown), (unknown), (unknown), (unknown), (unknown), (unknown), (unknown), (unknown), (unknown), (unknown), (unknown), (unknown), (unknown), (unknown), (unknown), (unknown), (unknown), (unknown), (unknown), (unknown), (unknown), (unknown), (unknown), (unknown), (unknown), (unknown), (unknown), (unknown), (unknown), (unknown), (unknown), (unknown), (unknown), (unknown), (unknown), (unknown), (unknown), (unknown), (unknown), (unknown), (unknown), (unknown), (unknown), (unknown), (unknown), (unknown), (unknown), (unknown), (unknown), (unknown), (unknown), (unknown), (unknown), (unknown), (unknown), (unknown), (unknown), (unknown), (unknown), (unknown), (unknown), (unknown), (unknown), (unknown), (unknown), (unknown), (unknown), (unknown), (unknown), (unknown), (unknown), (unknown), (unknown), (unknown), (unknown), (unknown), (unknown), (unknown), (unknown), (unknown), (unknown), (unknown), (unknown), (unknown), (unknown), (unknown), (unknown), (unknown), (unknown), (unknown), (unknown), (unknown), (unknown), (unknown), (unknown), (unknown), (unknown), (unknown), (unknown), (unknown), (unknown), (unknown), (unknown), (unknown), (unknown), (unknown), (unknown), (unknown), (unknown), (unknown), (unknown), (unknown), (unknown), (unknown), (unknown), (unknown)	1
7	Sociodemographic predictors of confirmed COVID-19 mortality and hospitalization among patients in Saudi Arabia: Analyzing a national COVID-19 database 2022 ·Journal of Infection and Public Health ·(unknown), (unknown), Azeez Yusuf, Mohammad Eid Alzahrani, Justin T. McDaniel, (unknown), Mohammed S. Aldughaim, Fahad Alswaidi, Ahmed A. Al‐Qahtani	2
8	Developing an Intelligent System with Deep Learning Algorithms for Sentiment Analysis of E-Commerce Product Reviews 2022 ·Computational Intelligence and Neuroscience ·Mohammad Eid Alzahrani, Theyazn H. H. Aldhyani, Saleh Nagi Alsubari, Maha M. Althobaiti, Adil Fahad	41
9	Durability of the humoral immune response in recovered COVID-19 patients 2021 ·Saudi Journal of Biological Sciences ·Waleed H. Mahallawi, Mohammad Eid Alzahrani, (unknown)	8
10	Self-Citation Analysis on Google Scholar Dataset for H-Index Corrections 2019 ·IEEE Access ·Fiaz Majeed, Muhammad Shafiq, Amjad Ali, Muhammad Awais, Syed Ali Abbas, Mohammad Eid Alzahrani, Muhammad Qaiser Saleem, Hannan Bin Liaqat, Akber Abid Gardezi, Azeem Irshad	4
11	Machine Learning Algorithms and Fault Detection for Improved Belief Function Based Decision Fusion in Wireless Sensor Networks 2019 ·Sensors ·(unknown), Nadeem Javaid, Zahid Wadud, Tanzila Saba, Osama E. Sheta, Muhammad Qaiser Saleem, Mohammad Eid Alzahrani	36
12	Fault Detection in Wireless Sensor Networks through the Random Forest Classifier 2019 ·Sensors ·(unknown), Nadeem Javaid, Tanzila Saba, Zahid Wadud, Muhammad Qaiser Saleem, Mohammad Eid Alzahrani, Osama E. Sheta	113
13	Auditing Albaha University Network Security using in-house Developed Penetration Tool 2018 ·Journal of Physics Conference Series ·Mohammad Eid Alzahrani	2

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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