El‐Sayed M. El‐kenawy

316 total papers · 7.9k total citations
237 papers, 4.6k citations indexed

About

El‐Sayed M. El‐kenawy is a scholar working on Artificial Intelligence, Electrical and Electronic Engineering and Computer Vision and Pattern Recognition. According to data from OpenAlex, El‐Sayed M. El‐kenawy has authored 237 papers receiving a total of 4.6k indexed citations (citations by other indexed papers that have themselves been cited), including 76 papers in Artificial Intelligence, 56 papers in Electrical and Electronic Engineering and 32 papers in Computer Vision and Pattern Recognition. Recurrent topics in El‐Sayed M. El‐kenawy's work include Energy Load and Power Forecasting (33 papers), Metaheuristic Optimization Algorithms Research (29 papers) and Solar Radiation and Photovoltaics (22 papers). El‐Sayed M. El‐kenawy is often cited by papers focused on Energy Load and Power Forecasting (33 papers), Metaheuristic Optimization Algorithms Research (29 papers) and Solar Radiation and Photovoltaics (22 papers). El‐Sayed M. El‐kenawy collaborates with scholars based in Egypt, Saudi Arabia and Jordan. El‐Sayed M. El‐kenawy's co-authors include Abdelhameed Ibrahim‬‬‬‬‬‬‬‬‬‬‬‬‬‬‬‬‬‬‬‬‬‬‬‬‬‬‬‬, Marwa M. Eid, Abdelaziz A. Abdelhamid, Seyedali Mirjalili, Doaa Sami Khafaga, Nima Khodadadi, Amel Ali Alhussan, Ali I. El-Desouky, Ahmed M. Elshewey and Mahmoud Y. Shams and has published in prestigious journals such as SHILAP Revista de lepidopterología, PLoS ONE and Scientific Reports.

In The Last Decade

El‐Sayed M. El‐kenawy

204 papers receiving 4.3k citations

Hit Papers

Greylag Goose Optimizatio... 2022 2026 2023 2024 2023 2024 2023 2022 2022 50 100 150 200 250
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 benchmark for papers published in the same subfield and year, or reaches the top citation threshold in at least one of its specific research topics.

  1. Greylag Goose Optimization: Nature-inspired optimization algorithm
    2023 294 citations El‐Sayed M. El‐kenawy, Nima Khodadadi et al. Expert Systems with Applications profile →
  2. Puma optimizer (PO): a novel metaheuristic optimization algorithm and its application in machine learning
    2024 220 citations Benyamın Abdollahzadeh, Nima Khodadadi et al. Cluster Computing profile →
  3. Water quality prediction using machine learning models based on grid search method
    2023 132 citations Mahmoud Y. Shams, Ahmed M. Elshewey et al. Multimedia Tools and Applications profile →
  4. Robust Speech Emotion Recognition Using CNN+LSTM Based on Stochastic Fractal Search Optimization Algorithm
    2022 119 citations Abdelaziz A. Abdelhamid, El‐Sayed M. El‐kenawy et al. IEEE Access profile →
  5. Brain Tumor Detection and Classification Using Deep Learning and Sine-Cosine Fitness Grey Wolf Optimization
    2022 117 citations Hanaa ZainEldin, Samah A. Gamel et al. Bioengineering profile →
  6. Football Optimization Algorithm (FbOA): A Novel Metaheuristic Inspired by Team Strategy Dynamics
    2024 47 citations El‐Sayed M. El‐kenawy, Abdelhameed Ibrahim‬‬‬‬‬‬‬‬‬‬‬‬‬‬‬‬‬‬‬‬‬‬‬‬‬‬‬‬ profile →
  7. Enhancing heart disease classification based on greylag goose optimization algorithm and long short-term memory
    2025 20 citations Ahmed M. Elshewey, Doaa Sami Khafaga et al. Scientific Reports profile →

Author Peers

Peers are selected by citation overlap in the author's most active subfields. citations · hero ref

Author Last Decade Papers Cites
El‐Sayed M. El‐kenawy 1.7k 928 586 374 351 237 4.6k
Abdelhameed Ibrahim‬‬‬‬‬‬‬‬‬‬‬‬‬‬‬‬‬‬‬‬‬‬‬‬‬‬‬‬ 1.6k 0.9× 834 0.9× 693 1.2× 435 1.2× 443 1.3× 160 4.7k
Mohammad Khishe 1.8k 1.1× 770 0.8× 608 1.0× 229 0.6× 366 1.0× 150 4.1k
Vasile Palade 2.7k 1.6× 852 0.9× 1.1k 1.9× 272 0.7× 278 0.8× 226 5.8k
Ripon K. Chakrabortty 1.7k 1.0× 1.4k 1.5× 432 0.7× 221 0.6× 512 1.5× 206 5.9k
Tarik A. Rashid 1.5k 0.9× 491 0.5× 447 0.8× 262 0.7× 527 1.5× 191 3.7k
Mohammad Teshnehlab 1.8k 1.1× 767 0.8× 614 1.0× 234 0.6× 513 1.5× 285 4.2k
Hossam M. Zawbaa 2.1k 1.2× 1.2k 1.3× 709 1.2× 196 0.5× 319 0.9× 103 5.1k
Valentina Emilia Bălaş 857 0.5× 904 1.0× 517 0.9× 250 0.7× 584 1.7× 328 4.0k
Adnan Mohsin Abdulazeez 1.5k 0.9× 366 0.4× 750 1.3× 485 1.3× 317 0.9× 115 4.4k
Songfeng Lu 1.9k 1.2× 744 0.8× 666 1.1× 412 1.1× 556 1.6× 172 4.0k

Countries citing papers authored by El‐Sayed M. El‐kenawy

Since Specialization
Citations

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

Fields of papers citing papers by El‐Sayed M. El‐kenawy

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by El‐Sayed M. El‐kenawy. 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 El‐Sayed M. El‐kenawy. The network helps show where El‐Sayed M. El‐kenawy may publish in the future.

Co-authorship network of co-authors of El‐Sayed M. El‐kenawy

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

All Works

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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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