Abeer Al-Hyari

432 total citations
21 papers, 270 citations indexed

About

Abeer Al-Hyari is a scholar working on Computer Vision and Pattern Recognition, Electrical and Electronic Engineering and Hardware and Architecture. According to data from OpenAlex, Abeer Al-Hyari has authored 21 papers receiving a total of 270 indexed citations (citations by other indexed papers that have themselves been cited), including 8 papers in Computer Vision and Pattern Recognition, 8 papers in Electrical and Electronic Engineering and 7 papers in Hardware and Architecture. Recurrent topics in Abeer Al-Hyari's work include VLSI and FPGA Design Techniques (7 papers), VLSI and Analog Circuit Testing (7 papers) and Chaos-based Image/Signal Encryption (6 papers). Abeer Al-Hyari is often cited by papers focused on VLSI and FPGA Design Techniques (7 papers), VLSI and Analog Circuit Testing (7 papers) and Chaos-based Image/Signal Encryption (6 papers). Abeer Al-Hyari collaborates with scholars based in Jordan, Canada and United Kingdom. Abeer Al-Hyari's co-authors include Ziad Alqadi, Majid A. Al-Taee, Shawki Areibi, Gary Gréwal, Ismail Al-Taharwa, Timothy J. Martin, Charlie Obimbo, Anthony Vannelli, Basel J. A. Ali and Timothy Martin and has published in prestigious journals such as IEEE Access, Symmetry and ACM Transactions on Design Automation of Electronic Systems.

In The Last Decade

Abeer Al-Hyari

18 papers receiving 260 citations

Peers

Abeer Al-Hyari
Hari Krishna United States
Linnan Wang United States
Jason Thong Canada
Maxime Pelcat France
David Berthelot France
Bùi Thanh Hùng Vietnam
José Cano United Kingdom
Peiyan Dong United States
Tomer Ashur Belgium
Hari Krishna United States
Abeer Al-Hyari
Citations per year, relative to Abeer Al-Hyari Abeer Al-Hyari (= 1×) peers Hari Krishna

Countries citing papers authored by Abeer Al-Hyari

Since Specialization
Citations

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

Fields of papers citing papers by Abeer Al-Hyari

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Abeer Al-Hyari. 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 Abeer Al-Hyari. The network helps show where Abeer Al-Hyari may publish in the future.

Co-authorship network of co-authors of Abeer Al-Hyari

This figure shows the co-authorship network connecting the top 25 collaborators of Abeer Al-Hyari. A scholar is included among the top collaborators of Abeer Al-Hyari 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 Abeer Al-Hyari. Abeer Al-Hyari 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-Hyari, Abeer, et al.. (2025). Chaotic Hénon–Logistic Map Integration: A Powerful Approach for Safeguarding Digital Images. Journal of Cybersecurity and Privacy. 5(1). 8–8.
2.
3.
Al-Hyari, Abeer, et al.. (2024). Generating Powerful Encryption Keys for Image Cryptography With Chaotic Maps by Incorporating Collatz Conjecture. IEEE Access. 12. 4825–4844. 15 indexed citations
4.
Al-Hyari, Abeer, et al.. (2023). Protecting Digital Images Using Keys Enhanced by 2D Chaotic Logistic Maps. Cryptography. 7(2). 20–20. 11 indexed citations
5.
Al-Hyari, Abeer, et al.. (2023). Increasing the security of transmitted text messages using chaotic key and image key cryptography. International Journal of Data and Network Science. 7(2). 809–820. 14 indexed citations
6.
Al‐Bazi, Ammar, et al.. (2023). Machine Learning Approaches to Predict Patient’s Length of Stay in Emergency Department. Applied Computational Intelligence and Soft Computing. 2023. 1–13.
7.
Al-Hyari, Abeer, et al.. (2022). Hyperparameters Optimization of Convolutional Neural Networks using Evolutionary Algorithms. 1–6. 3 indexed citations
8.
Al-Hyari, Abeer, et al.. (2022). CASDC: A Cryptographically Secure Data System Based on Two Private Key Images. IEEE Access. 10. 126304–126314. 8 indexed citations
9.
Al-Hyari, Abeer, et al.. (2022). Rotation Left Digits to Enhance the Security Level of Message Blocks Cryptography. IEEE Access. 10. 69388–69397. 22 indexed citations
10.
Al-Hyari, Abeer, et al.. (2022). A Complex Matrix Private Key to Enhance the Security Level of Image Cryptography. Symmetry. 14(4). 664–664. 24 indexed citations
11.
Al-Hyari, Abeer, et al.. (2020). Machine Learning for Congestion Management and Routability Prediction within FPGA Placement. ACM Transactions on Design Automation of Electronic Systems. 25(5). 1–25. 13 indexed citations
12.
Al-Hyari, Abeer, et al.. (2020). An Adaptive Analytic FPGA Placement Framework based on Deep-Learning. 3–8. 5 indexed citations
13.
Al-Hyari, Abeer, et al.. (2019). A Deep Learning Framework to Predict Routability for FPGA Circuit Placement. 334–341. 14 indexed citations
14.
Al-Hyari, Abeer, et al.. (2019). Novel Congestion-estimation and Routability-prediction Methods based on Machine Learning for Modern FPGAs. ACM Transactions on Reconfigurable Technology and Systems. 12(3). 1–25. 5 indexed citations
15.
Martin, Timothy, et al.. (2019). A Flat Timing-Driven Placement Flow for Modern FPGAs. 1–6. 15 indexed citations
16.
Al-Hyari, Abeer, et al.. (2018). Machine-Learning Based Congestion Estimation for Modern FPGAs. 427–4277. 29 indexed citations
17.
Al-Hyari, Abeer, et al.. (2018). An Effective FPGA Placement Flow Selection Framework using Machine Learning. 164–167. 6 indexed citations
18.
Al-Hyari, Abeer & Shawki Areibi. (2017). Design space exploration of Convolutional Neural Networks based on Evolutionary Algorithms. 3(1). 11 indexed citations
19.
Al-Hyari, Abeer, et al.. (2014). Diagnosis and Classification of Chronic Renal Failure Utilising Intelligent Data Mining Classifiers. International Journal of Information Technology and Web Engineering. 9(4). 1–12. 21 indexed citations
20.
Al-Hyari, Abeer, et al.. (2013). Clinical decision support system for diagnosis and management of Chronic Renal Failure. 1–6. 38 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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