Heba Al-Hiary

24 papers receiving 397 citations

Hit Papers

Tornado optimizer with Coriolis force: a novel bio-inspir...2025202620255101520

Peers

Heba Al-Hiary
Comparison fields: 5 of 64
  • Artificial Intelligence 250
  • Computational Theory and Mathematics 102
  • Electrical and Electronic Engineering 74
  • Control and Systems Engineering 55
  • Computer Vision and Pattern Recognition 53
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Zhuoran Zhang China
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Hardi M. Mohammed Iraq
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Countries citing papers authored by Heba Al-Hiary

Since Specialization
Citations

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

Fields of papers citing papers by Heba Al-Hiary

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Heba Al-Hiary

This figure shows the co-authorship network connecting the top 25 collaborators of Heba Al-Hiary. A scholar is included among the top collaborators of Heba Al-Hiary 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 Heba Al-Hiary. Heba Al-Hiary 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
#WorkIndexed citations
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Tornado optimizer with Coriolis force: a novel bio-inspired meta-heuristic algorithm for solving engineering problemsbreakdown →
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3 11
4 1
5 12
6 8
7 4
8 1
9 6
10 10
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12 17
13 25
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15 11
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An Intelligent Watermarking Approach Based Particle Swarm Optimization in Discrete Wavelet Domain
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An Implemented Approach for Potentially Breast Cancer Detection Using Extracted Features and Artificial Neural Networks
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19
Identification and Model Predictive Controller Design of the Tennessee Eastman Chemical Process Using ANN.
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20 10

About Heba Al-Hiary

Heba Al-Hiary is a scholar working on Artificial Intelligence, Computational Theory and Mathematics and Computer Vision and Pattern Recognition, having authored 25 papers that have together received 414 indexed citations. Recurring topics across this work include Metaheuristic Optimization Algorithms Research (12 papers), Evolutionary Algorithms and Applications (10 papers) and Advanced Multi-Objective Optimization Algorithms (6 papers). The work is most often cited by research in Artificial Intelligence (250 citations), Computational Theory and Mathematics (102 citations) and Computer Vision and Pattern Recognition (53 citations). Heba Al-Hiary has collaborated with scholars based in Jordan, United States and United Arab Emirates. Frequent co-authors include Alaa Sheta, Malik Braik, Malik Braik, Hussein Al-Zoubi, Mohammed A. Awadallah, Abdelaziz I. Hammouri, Hamza Turabieh, Mohammed Azmi Al‐Betar, Sultan Aljahdali and Mohammed Azmi Al-Betar. Their work appears in journals such as Expert Systems with Applications, The International Journal of Advanced Manufacturing Technology and Water Air & Soil Pollution.

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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