Feras Al‐Obeidat

2.1k total citations
98 papers, 1.3k citations indexed

About

Feras Al‐Obeidat is a scholar working on Artificial Intelligence, Information Systems and Computer Networks and Communications. According to data from OpenAlex, Feras Al‐Obeidat has authored 98 papers receiving a total of 1.3k indexed citations (citations by other indexed papers that have themselves been cited), including 56 papers in Artificial Intelligence, 22 papers in Information Systems and 16 papers in Computer Networks and Communications. Recurrent topics in Feras Al‐Obeidat's work include Network Security and Intrusion Detection (12 papers), Complex Network Analysis Techniques (12 papers) and Topic Modeling (11 papers). Feras Al‐Obeidat is often cited by papers focused on Network Security and Intrusion Detection (12 papers), Complex Network Analysis Techniques (12 papers) and Topic Modeling (11 papers). Feras Al‐Obeidat collaborates with scholars based in United Arab Emirates, Pakistan and Canada. Feras Al‐Obeidat's co-authors include Babar Shah, Abdallah Tubaishat, Sajid Anwar, Adnan Amin, Thar Baker, Bruce Spencer, Ebrahim Bagheri, Zahid Halim, Jonathan Loo and Mohammad Hammoudeh and has published in prestigious journals such as SHILAP Revista de lepidopterología, Scientific Reports and Journal of Business Research.

In The Last Decade

Feras Al‐Obeidat

90 papers receiving 1.3k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Feras Al‐Obeidat United Arab Emirates 20 526 326 275 169 133 98 1.3k
Asad Masood Khattak United Arab Emirates 24 684 1.3× 478 1.5× 426 1.5× 123 0.7× 95 0.7× 112 1.6k
Rajendra Pamula India 19 573 1.1× 260 0.8× 271 1.0× 56 0.3× 96 0.7× 69 1.1k
Dymitr Ruta United Arab Emirates 16 656 1.2× 244 0.7× 140 0.5× 248 1.5× 148 1.1× 61 1.6k
Yan Fu China 19 451 0.9× 262 0.8× 205 0.7× 71 0.4× 72 0.5× 129 1.3k
Basit Raza Pakistan 26 823 1.6× 415 1.3× 475 1.7× 196 1.2× 79 0.6× 79 2.1k
Yuanchun Jiang China 19 531 1.0× 396 1.2× 213 0.8× 250 1.5× 73 0.5× 93 1.3k
Chuanren Liu United States 24 856 1.6× 434 1.3× 112 0.4× 88 0.5× 238 1.8× 94 1.9k
Yong Ge United States 22 643 1.2× 541 1.7× 225 0.8× 114 0.7× 186 1.4× 63 1.6k
Abdul Razak Hamdan Malaysia 17 681 1.3× 389 1.2× 114 0.4× 49 0.3× 79 0.6× 136 1.3k
Zulaiha Ali Othman Malaysia 17 732 1.4× 304 0.9× 444 1.6× 45 0.3× 261 2.0× 127 1.3k

Countries citing papers authored by Feras Al‐Obeidat

Since Specialization
Citations

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

Fields of papers citing papers by Feras Al‐Obeidat

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Feras Al‐Obeidat. 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 Feras Al‐Obeidat. The network helps show where Feras Al‐Obeidat may publish in the future.

Co-authorship network of co-authors of Feras Al‐Obeidat

This figure shows the co-authorship network connecting the top 25 collaborators of Feras Al‐Obeidat. A scholar is included among the top collaborators of Feras Al‐Obeidat 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 Feras Al‐Obeidat. Feras Al‐Obeidat 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.
Hafez, Wael, Asrar Rashid, Feras Al‐Obeidat, et al.. (2025). Evaluating gene expression patterns for NF-κB1, TNF, and VEGF A& VEGF B in a mouse model of SARS-CoV-2 infection. SHILAP Revista de lepidopterología. 24. 100124–100124.
2.
Al‐Obeidat, Feras, et al.. (2025). Artificial intelligence for the detection of acute myeloid leukemia from microscopic blood images; a systematic review and meta-analysis. Frontiers in Big Data. 7. 1402926–1402926. 1 indexed citations
3.
Al‐Obeidat, Feras, et al.. (2025). The accuracy of artificial intelligence in the diagnosis of soft tissue sarcoma: A systematic review and meta-analysis. Current Problems in Surgery. 66. 101743–101743. 2 indexed citations
4.
Makhadmeh, Sharif Naser, Mohammed Azmi Al‐Betar, Feras Al‐Obeidat, et al.. (2024). A multi-objective grey wolf optimizer for energy planning problem in smart home using renewable energy systems. SHILAP Revista de lepidopterología. 5. 88–101. 4 indexed citations
5.
Swed, Sarya, Bisher Sawaf, Feras Al‐Obeidat, et al.. (2024). Asthma prevalence among United States population insights from NHANES data analysis. Scientific Reports. 14(1). 18 indexed citations
6.
7.
Rashid, Asrar, Feras Al‐Obeidat, Wael Hafez, et al.. (2023). ADVANCING THE UNDERSTANDING OF CLINICAL SEPSIS USING GENE EXPRESSION–DRIVEN MACHINE LEARNING TO IMPROVE PATIENT OUTCOMES. Shock. 61(1). 4–18. 5 indexed citations
8.
Sadiq, Ali Safaa, et al.. (2023). Self-Healing in Cyber–Physical Systems Using Machine Learning: A Critical Analysis of Theories and Tools. Future Internet. 15(7). 244–244. 16 indexed citations
9.
Al‐Obeidat, Feras, et al.. (2023). Denoising histopathology images for the detection of breast cancer. Neural Computing and Applications. 37(11). 7641–7655. 2 indexed citations
10.
Tubishat, Mohammad, Feras Al‐Obeidat, Ali Safaa Sadiq, & Seyedali Mirjalili. (2023). An Improved Dandelion Optimizer Algorithm for Spam Detection: Next-Generation Email Filtering System. Computers. 12(10). 196–196. 3 indexed citations
11.
Al‐Obeidat, Feras, Ebrahim Bagheri, Mehdi Kargar, et al.. (2023). Learning heterogeneous subgraph representations for team discovery. Information Retrieval. 26(1-2). 4 indexed citations
12.
Khan, Abdul Khaliq, et al.. (2023). Sentence embedding approach using LSTM auto-encoder for discussion threads summarization. Computer Science and Information Systems. 20(4). 1367–1387. 2 indexed citations
13.
Al‐Obeidat, Feras, et al.. (2023). Cyber security and beyond: Detecting malware and concept drift in AI-based sensor data streams using statistical techniques. Computers & Electrical Engineering. 108. 108702–108702. 16 indexed citations
14.
Jovanović, Jelena, et al.. (2022). Social Alignment Contagion in Online Social Networks. IEEE Transactions on Computational Social Systems. 11(1). 399–417. 5 indexed citations
15.
Bani-Hani, Anoud, et al.. (2020). Fane-KG: A Semantic Knowledge Graph for Context-Based Fake News Detection on Social Media. 1–6. 3 indexed citations
16.
Tariq, Noshina, Muhammad Asim, Feras Al‐Obeidat, et al.. (2019). The Security of Big Data in Fog-Enabled IoT Applications Including Blockchain: A Survey. Sensors. 19(8). 1788–1788. 188 indexed citations
17.
Benkhelifa, Elhadj, et al.. (2019). Leveraging cloud computing for the semantic web: review and trends. Soft Computing. 24(8). 5999–6014. 9 indexed citations
18.
Bagheri, Ebrahim, Faezeh Ensan, & Feras Al‐Obeidat. (2018). Neural word and entity embeddings for ad hoc retrieval. Information Processing & Management. 54(4). 657–673. 21 indexed citations
19.
Spencer, Bruce, et al.. (2017). Short Term Forecasts of Internal Temperature with Stable Accuracy in Smart Homes. International Journal of Thermal and Environmental Engineering. 13(2). 4 indexed citations
20.
El-Alfy, El-Sayed M. & Feras Al‐Obeidat. (2014). A Multicriterion Fuzzy Classification Method with Greedy Attribute Selection for Anomaly-based Intrusion Detection. Procedia Computer Science. 34. 55–62. 18 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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