Mohammed Eshtay

509 total citations
15 papers, 394 citations indexed

About

Mohammed Eshtay is a scholar working on Artificial Intelligence, Information Systems and Computer Vision and Pattern Recognition. According to data from OpenAlex, Mohammed Eshtay has authored 15 papers receiving a total of 394 indexed citations (citations by other indexed papers that have themselves been cited), including 9 papers in Artificial Intelligence, 5 papers in Information Systems and 5 papers in Computer Vision and Pattern Recognition. Recurrent topics in Mohammed Eshtay's work include Machine Learning and ELM (5 papers), Face and Expression Recognition (4 papers) and Software Reliability and Analysis Research (2 papers). Mohammed Eshtay is often cited by papers focused on Machine Learning and ELM (5 papers), Face and Expression Recognition (4 papers) and Software Reliability and Analysis Research (2 papers). Mohammed Eshtay collaborates with scholars based in Jordan, Saudi Arabia and Singapore. Mohammed Eshtay's co-authors include Hossam Faris, Nadim Obeid, Ibrahim Aljarah, Ali Asghar Heidari, Ala’ M. Al-Zoubi, Majdi Mafarja, Seyedali Mirjalili, Iman Almomani, Maria Habib and Keshav Dahal and has published in prestigious journals such as Expert Systems with Applications, Applied Sciences and Neural Computing and Applications.

In The Last Decade

Mohammed Eshtay

14 papers receiving 377 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Mohammed Eshtay Jordan 9 262 72 68 57 49 15 394
N. Ramaraj India 9 188 0.7× 79 1.1× 80 1.2× 102 1.8× 24 0.5× 28 390
Ayaz Isazadeh Iran 12 204 0.8× 162 2.3× 108 1.6× 28 0.5× 54 1.1× 46 384
Shang Zheng China 9 266 1.0× 72 1.0× 38 0.6× 53 0.9× 11 0.2× 24 376
Zhijian Wang China 9 116 0.4× 67 0.9× 35 0.5× 115 2.0× 62 1.3× 35 322
Cheng-Fa Tsai Taiwan 11 184 0.7× 71 1.0× 58 0.9× 55 1.0× 48 1.0× 35 339
Lucija Brezočnik Slovenia 4 229 0.9× 36 0.5× 40 0.6× 55 1.0× 47 1.0× 9 358
Eduardo Sany Laber Brazil 11 193 0.7× 53 0.7× 127 1.9× 34 0.6× 88 1.8× 62 317
Dejun Mu China 10 229 0.9× 176 2.4× 65 1.0× 51 0.9× 12 0.2× 42 404
Yao Deng China 8 108 0.4× 57 0.8× 55 0.8× 68 1.2× 12 0.2× 17 270

Countries citing papers authored by Mohammed Eshtay

Since Specialization
Citations

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

Fields of papers citing papers by Mohammed Eshtay

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Mohammed Eshtay

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

All Works

15 of 15 papers shown
1.
Alauthman, Mohammad, Ahmad Al–Qerem, Ayoub Alsarhan, et al.. (2023). Enhancing Small Medical Dataset Classification Performance Using GAN. Informatics. 10(1). 28–28. 22 indexed citations
2.
Eshtay, Mohammed, et al.. (2023). Reliable prediction of software defects using Shapley interpretable machine learning models. Egyptian Informatics Journal. 24(3). 100386–100386. 9 indexed citations
3.
4.
Eshtay, Mohammed, et al.. (2022). Hybrid PSO feature selection-based association classification approach for breast cancer detection. Neural Computing and Applications. 35(7). 5291–5317. 27 indexed citations
5.
Alqatawna, Ja’far, et al.. (2021). Violence Detection over Online Social Networks: An Arabic Sentiment Analysis Approach. International Journal of Interactive Mobile Technologies (iJIM). 15(14). 90–90. 8 indexed citations
6.
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
7.
Alsawalqah, Hamad, et al.. (2020). Software Defect Prediction Using Heterogeneous Ensemble Classification Based on Segmented Patterns. Applied Sciences. 10(5). 1745–1745. 35 indexed citations
8.
Alauthman, Mohammad, et al.. (2020). Evaluation of Class Decomposition based on Clustering Validity and K-means Algorithm. 17. 1–6. 1 indexed citations
9.
Eshtay, Mohammed, Hossam Faris, & Nadim Obeid. (2020). A competitive swarm optimizer with hybrid encoding for simultaneously optimizing the weights and structure of Extreme Learning Machines for classification problems. International Journal of Machine Learning and Cybernetics. 11(8). 1801–1823. 15 indexed citations
10.
Eshtay, Mohammed, Hossam Faris, Ali Asghar Heidari, Ala’ M. Al-Zoubi, & Ibrahim Aljarah. (2020). AutoRWN: automatic construction and training of random weight networks using competitive swarm of agents. Neural Computing and Applications. 33(11). 5507–5524. 8 indexed citations
11.
Eshtay, Mohammed, Azzam Sleit, & Monther Aldwairi. (2019). IMPLEMENTING BI-TEMPORAL PROPERTIES INTO VARIOUS NOSQL DATABASE CATEGORIES. International Journal of Computing. 45–52. 3 indexed citations
12.
Faris, Hossam, Ali Asghar Heidari, Ala’ M. Al-Zoubi, et al.. (2019). Time-varying hierarchical chains of salps with random weight networks for feature selection. Expert Systems with Applications. 140. 112898–112898. 94 indexed citations
13.
Eshtay, Mohammed, Hossam Faris, & Nadim Obeid. (2018). Metaheuristic-based extreme learning machines: a review of design formulations and applications. International Journal of Machine Learning and Cybernetics. 10(6). 1543–1561. 44 indexed citations
14.
Eshtay, Mohammed, Hossam Faris, & Nadim Obeid. (2018). Improving Extreme Learning Machine by Competitive Swarm Optimization and its application for medical diagnosis problems. Expert Systems with Applications. 104. 134–152. 90 indexed citations
15.
Eshtay, Mohammed, et al.. (2016). NMVSA Greedy Solution for Vertex Cover Problem. International Journal of Advanced Computer Science and Applications. 7(3). 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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