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 Noshina Tariq 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

Author Peers

Peers are selected by citation overlap in the author's most active subfields. citations · hero ref

Author						Papers	Cites
Feras Al‐Obeidat	526	326	275	169	133	98	1.3k
Asad Masood Khattak	684 1.3×	478 1.5×	426 1.5×	123 0.7×	95 0.7×	112	1.6k
Dymitr Ruta	656 1.2×	244 0.7×	140 0.5×	248 1.5×	148 1.1×	61	1.6k
Rajendra Pamula	573 1.1×	260 0.8×	271 1.0×	56 0.3×	96 0.7×	69	1.1k
Yan Fu	451 0.9×	262 0.8×	205 0.7×	71 0.4×	72 0.5×	129	1.3k
Basit Raza	823 1.6×	415 1.3×	475 1.7×	196 1.2×	79 0.6×	79	2.1k
Yuanchun Jiang	531 1.0×	396 1.2×	213 0.8×	250 1.5×	73 0.5×	93	1.3k
Chuanren Liu	856 1.6×	434 1.3×	112 0.4×	88 0.5×	238 1.8×	94	1.9k
Abdul Razak Hamdan	681 1.3×	389 1.2×	114 0.4×	49 0.3×	79 0.6×	136	1.3k
Yong Ge	643 1.2×	541 1.7×	225 0.8×	114 0.7×	186 1.4×	63	1.6k
Zulaiha Ali Othman	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

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20 of 20 papers shown

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.

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

Hamdi, Amel, et al.. (2025). Discovery of drug transporter inhibitors tied to long noncoding RNA in resistant cancer cells; a computational model -in silico- study. Frontiers in Immunology. 16. 1511029–1511029.

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

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

Al‐Obeidat, Feras, et al.. (2024). Advancing fake news detection with graph neural network and deep learning. Journal of Physics Complexity. 6(2). 25001–25001. 1 indexed citations

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

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

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

10.

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

11.

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

12.

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

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.

Hafez, Wael, Feras Al‐Obeidat, Sarya Swed, et al.. (2023). Cimex (bedbug) infestations in France: A call for action. New Microbes and New Infections. 56. 101201–101201.

15.

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

16.

Al‐Obeidat, Feras, et al.. (2021). COVID-19 Patient Count Prediction Using LSTM. IEEE Transactions on Computational Social Systems. 8(4). 974–981. 31 indexed citations

17.

Tubaishat, Abdallah, et al.. (2020). A novel binary chaotic genetic algorithm for feature selection and its utility in affective computing and healthcare. Neural Computing and Applications. 34(14). 11453–11474. 61 indexed citations

18.

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

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.

Al‐Obeidat, Feras & Nabil Belacel. (2011). Alternative approach for learning and improving the MCDA method PROAFTN. International Journal of Intelligent Systems. 26(5). 444–463. 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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