Hossam Faris

24.5k total citations · 9 hit papers
167 papers, 18.0k citations indexed

About

Hossam Faris is a scholar working on Artificial Intelligence, Information Systems and Computer Vision and Pattern Recognition. According to data from OpenAlex, Hossam Faris has authored 167 papers receiving a total of 18.0k indexed citations (citations by other indexed papers that have themselves been cited), including 118 papers in Artificial Intelligence, 38 papers in Information Systems and 22 papers in Computer Vision and Pattern Recognition. Recurrent topics in Hossam Faris's work include Metaheuristic Optimization Algorithms Research (49 papers), Evolutionary Algorithms and Applications (30 papers) and Spam and Phishing Detection (20 papers). Hossam Faris is often cited by papers focused on Metaheuristic Optimization Algorithms Research (49 papers), Evolutionary Algorithms and Applications (30 papers) and Spam and Phishing Detection (20 papers). Hossam Faris collaborates with scholars based in Jordan, Australia and Spain. Hossam Faris's co-authors include Seyedali Mirjalili, Ibrahim Aljarah, Majdi Mafarja, Ali Asghar Heidari, Huiling Chen, Shahrzad Saremi, Seyedeh Zahra Mirjalili, Seyed Mohammad Mirjalili, Amir H. Gandomi and Ala’ M. Al-Zoubi and has published in prestigious journals such as SHILAP Revista de lepidopterología, PLoS ONE and Expert Systems with Applications.

In The Last Decade

Hossam Faris

164 papers receiving 17.4k citations

Hit Papers

Harris hawks optimization: Algorithm and applications 2016 2026 2019 2022 2019 2017 2017 2016 2017 1000 2.0k 3.0k 4.0k
What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

  1. Harris hawks optimization: Algorithm and applications
    2019 4.5k citations Ali Asghar Heidari, Seyedali Mirjalili et al. profile →
  2. Salp Swarm Algorithm: A bio-inspired optimizer for engineering design problems
    2017 3.9k citations Seyedali Mirjalili, Amir H. Gandomi et al. Advances in Engineering Software profile →
  3. Grey wolf optimizer: a review of recent variants and applications
    2017 788 citations Hossam Faris, Ibrahim Aljarah et al. profile →
  4. Optimizing connection weights in neural networks using the whale optimization algorithm
    2016 580 citations Ibrahim Aljarah, Hossam Faris et al. profile →
  5. Grasshopper optimization algorithm for multi-objective optimization problems
    2017 572 citations Seyedeh Zahra Mirjalili, Seyedali Mirjalili et al. profile →
  6. An efficient binary Salp Swarm Algorithm with crossover scheme for feature selection problems
    2018 545 citations Hossam Faris, Majdi Mafarja et al. profile →
  7. Evolutionary Population Dynamics and Grasshopper Optimization approaches for feature selection problems
    2017 353 citations Majdi Mafarja, Ibrahim Aljarah et al. profile →
  8. Binary grasshopper optimisation algorithm approaches for feature selection problems
    2018 339 citations Majdi Mafarja, Ibrahim Aljarah et al. Expert Systems with Applications profile →
  9. Binary dragonfly optimization for feature selection using time-varying transfer functions
    2018 332 citations Majdi Mafarja, Ibrahim Aljarah et al. profile →

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Hossam Faris Jordan 51 10.3k 3.4k 3.1k 2.2k 2.1k 167 18.0k
Mohamed Abd Elaziz Egypt 77 11.6k 1.1× 3.4k 1.0× 4.0k 1.3× 3.4k 1.5× 2.0k 0.9× 438 24.3k
Yuhui Shi China 49 7.9k 0.8× 3.6k 1.1× 2.6k 0.8× 1.7k 0.8× 2.5k 1.2× 240 14.7k
Ibrahim Aljarah Jordan 48 8.0k 0.8× 2.4k 0.7× 2.0k 0.6× 1.7k 0.8× 1.4k 0.7× 117 13.3k
Riccardo Poli United Kingdom 38 10.0k 1.0× 3.6k 1.1× 4.1k 1.3× 2.3k 1.0× 3.5k 1.6× 252 23.3k
Laith Abualigah Jordan 70 12.9k 1.2× 4.5k 1.3× 4.3k 1.4× 3.8k 1.7× 3.0k 1.4× 612 26.4k
Seyed Mohammad Mirjalili Iran 18 10.4k 1.0× 4.4k 1.3× 5.7k 1.8× 2.6k 1.2× 3.9k 1.8× 37 22.1k
Tim Blackwell United Kingdom 19 6.4k 0.6× 2.8k 0.8× 3.7k 1.2× 1.7k 0.8× 3.2k 1.5× 52 16.7k
Bahriye Akay Türkiye 32 7.2k 0.7× 3.1k 0.9× 2.0k 0.6× 2.0k 0.9× 1.8k 0.8× 56 13.5k
Swagatam Das India 64 12.0k 1.2× 6.8k 2.0× 3.3k 1.1× 2.6k 1.2× 2.7k 1.3× 388 20.2k
Suash Deb Macao 36 6.5k 0.6× 2.8k 0.8× 2.5k 0.8× 1.5k 0.7× 1.6k 0.8× 93 12.3k

Countries citing papers authored by Hossam Faris

Since Specialization
Citations

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

Fields of papers citing papers by Hossam Faris

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Hossam Faris

This figure shows the co-authorship network connecting the top 25 collaborators of Hossam Faris. A scholar is included among the top collaborators of Hossam Faris 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 Hossam Faris. Hossam Faris 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.
Al-Zoubi, Ala’ M., Antonio M. Mora, Hossam Faris, & Raneem Qaddoura. (2025). A hybrid TwinSVM-HHO model for multilingual spam review detection using sentiment features and pre-trained embeddings. Expert Systems with Applications. 287. 128160–128160. 1 indexed citations
2.
Qaddoura, Raneem & Hossam Faris. (2024). Evolving random weight neural networks based on oversampled-segmented examples for IoT intrusion detection. The Journal of Supercomputing. 80(11). 16393–16427. 1 indexed citations
3.
Alshamaila, Yazn, Hamad Alsawalqah, Maria Habib, et al.. (2024). An intelligent rule-oriented framework for extracting key factors for grants scholarships in higher education. International Journal of Data and Network Science. 8(2). 1325–1340. 3 indexed citations
4.
5.
Hammo, Bassam, et al.. (2023). Cluster-based ensemble learning model for improving sentiment classification of Arabic documents. Natural Language Engineering. 30(5). 1091–1129. 3 indexed citations
6.
Qaddoura, Raneem, Ala’ M. Al-Zoubi, Hossam Faris, & Iman Almomani. (2021). A Multi-Layer Classification Approach for Intrusion Detection in IoT Networks Based on Deep Learning. Sensors. 21(9). 2987–2987. 74 indexed citations
7.
Thaher, Thaer, Majdi Mafarja, Hamza Turabieh, et al.. (2021). Teaching Learning-Based Optimization With Evolutionary Binarization Schemes for Tackling Feature Selection Problems. IEEE Access. 9. 41082–41103. 17 indexed citations
8.
Almomani, Iman, Raneem Qaddoura, Maria Habib, et al.. (2021). Android Ransomware Detection Based on a Hybrid Evolutionary Approach in the Context of Highly Imbalanced Data. IEEE Access. 9. 57674–57691. 58 indexed citations
9.
Bokde, Neeraj Dhanraj, Zainab Hasan Ali, Aitazaz A. Farooque, et al.. (2021). Total Dissolved Salt Prediction Using Neurocomputing Models: Case Study of Gypsum Soil Within Iraq Region. IEEE Access. 9. 53617–53635. 13 indexed citations
10.
Qaddoura, Raneem, Ala’ M. Al-Zoubi, Iman Almomani, & Hossam Faris. (2021). A Multi-Stage Classification Approach for IoT Intrusion Detection Based on Clustering with Oversampling. Applied Sciences. 11(7). 3022–3022. 68 indexed citations
11.
Faris, Hossam, Maria Habib, Iman Almomani, Mohammed Eshtay, & Ibrahim Aljarah. (2020). Optimizing Extreme Learning Machines Using Chains of Salps for Efficient Android Ransomware Detection. Applied Sciences. 10(11). 3706–3706. 36 indexed citations
12.
Mafarja, Majdi, Ali Asghar Heidari, Hossam Faris, et al.. (2019). An evolutionary gravitational search-based feature selection. Information Sciences. 497. 219–239. 201 indexed citations
13.
Faris, Hossam, Ala’ M. Al-Zoubi, Ali Asghar Heidari, et al.. (2018). An intelligent system for spam detection and identification of the most relevant features based on evolutionary Random Weight Networks. Information Fusion. 48. 67–83. 213 indexed citations
14.
Hassanat, Ahmad B., et al.. (2018). An Improved Genetic Algorithm with a New Initialization Mechanism Based on Regression Techniques. Information. 9(7). 167–167. 48 indexed citations
15.
Rodan, Ali, et al.. (2018). Forecasting business failure in highly imbalanced distribution based on delay line reservoir. Re-Unir (International University of La Rioja). 4 indexed citations
16.
Mirjalili, Seyedali, Amir H. Gandomi, Seyedeh Zahra Mirjalili, et al.. (2017). Salp Swarm Algorithm: A bio-inspired optimizer for engineering design problems. Advances in Engineering Software. 114. 163–191. 3857 indexed citations breakdown →
17.
Harfoushi, Osama, et al.. (2013). Impact of Internet Advertisement and Its Features on E-Commerce Retail Sales: Evidence from Europe. Journal of Software Engineering and Applications. 6(11). 564–570. 5 indexed citations
18.
Ghatasheh, Nazeeh, et al.. (2013). Corporate e-Learning Environment Using Concept Maps: a Case Study. International Review on Computers and Software (IRECOS). 8(11). 2655–2662. 1 indexed citations
19.
Obiedat, Ruba, Mouhammd Alkasassbeh, Hossam Faris, & Osama Harfoushi. (2013). Customer churn prediction using a hybrid genetic programming approach. Scientific Research and Essays. 8(27). 1289–1295. 9 indexed citations
20.
Ghatasheh, Nazeeh, et al.. (2013). Dead Sea Water Level and Surface Area Monitoring Using Spatial Data Extraction from Remote Sensing Images. International Review on Computers and Software (IRECOS). 8(12). 2892–2897. 3 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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