Doaa El-Shahat

489 citations
10 papers · 347 · 1 hit paper · h-index 4

Impact in

Papers in

Doaa El-Shahat

10 papers receiving 329 citations

Doaa El-Shahat's Hit Papers

Exponential distribution optimizer (EDO): a novel math-inspired algorithm for global optimization and engineering problems 2023 · 138 citations
1380+1+2Years since publication4080120

Peers

Doaa El-Shahat
Comparison fields: 5 of 70
  • Artificial Intelligence 190
  • Computational Theory and Mathematics 81
  • Industrial and Manufacturing Engineering 27
  • Computer Networks and Communications 54
  • Computer Vision and Pattern Recognition 47
Replace Hardi M. Mohammed with:
Hardi M. Mohammed Iraq
Yaning Xiao China
Ai-Qing Tian China
Ratul Chakraborty India
Chengtian Ouyang China
Keyvan Golalipour Iran
Farhad Soleimanian Gharehchopogh Iran
Doaa El-Shahat relative to Hardi M. Mohammed Iraq Hardi M. Mohammed's profile →
Citations per field
00.5×1.5×
Hardi M. Mohammed · 1×
Citations per year

Countries citing papers authored by Doaa El-Shahat

Since Specialization
Citations

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

Fields of papers citing papers by Doaa El-Shahat

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Doaa El-Shahat. 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 Doaa El-Shahat. The network helps show where Doaa El-Shahat may publish in the future.

Co-authors

The 11 scholars most cited alongside Doaa El-Shahat, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Doaa El-Shahat Line = papers co-authored together Doaa El-Shahat links everyone, so they are left out of the graph.

All Works

10 of 10 papers shown
#Work
1
Exponential distribution optimizer (EDO): a novel math-inspired algorithm for global optimization and engineering problems
Hit paper breakdown →
2023138
2 2022132
3 202050
4 202417
5 20243
6 20242
7 20252
8 20241
9 20241
10 20241

About Doaa El-Shahat

Doaa El-Shahat is a scholar working on Artificial Intelligence, Electrical and Electronic Engineering, Computer Networks and Communications, Computational Theory and Mathematics and Management Science and Operations Research, having authored 10 papers that have together received 347 indexed citations. Recurring topics across this work include Metaheuristic Optimization Algorithms Research (3 papers), Energy Load and Power Forecasting (2 papers), Advanced Multi-Objective Optimization Algorithms (2 papers), Solar Radiation and Photovoltaics (2 papers), Photovoltaic System Optimization Techniques (1 paper), Video Surveillance and Tracking Methods (1 paper), Optimization and Search Problems (1 paper) and Cloud Computing and Resource Management (1 paper). The work is most often cited by research in Artificial Intelligence (190 citations), Computational Theory and Mathematics (81 citations), Industrial and Manufacturing Engineering (27 citations), Computer Networks and Communications (54 citations) and Computer Vision and Pattern Recognition (47 citations). Doaa El-Shahat has collaborated with scholars based in Egypt, United States and Vietnam. Frequent co-authors include Mohamed Abouhawwash, Mohamed Abdel‐Basset, Mohammed Jameel, Kalyanmoy Deb, A. S. Tolba, Jun Ye, Reda Mohamed, Ibrahim M. Hezam, Wenhua Cui and Karam M. Sallam. Their work appears in journals such as Applied Soft Computing, Sustainable Computing Informatics and Systems, Computer Methods in Applied Mechanics and Engineering, Journal Of Big Data and Artificial Intelligence Review.

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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