Absalom E. Ezugwu

10.9k total citations · 7 hit papers
167 papers, 6.7k citations indexed

About

Absalom E. Ezugwu is a scholar working on Artificial Intelligence, Computational Theory and Mathematics and Computer Networks and Communications. According to data from OpenAlex, Absalom E. Ezugwu has authored 167 papers receiving a total of 6.7k indexed citations (citations by other indexed papers that have themselves been cited), including 94 papers in Artificial Intelligence, 30 papers in Computational Theory and Mathematics and 26 papers in Computer Networks and Communications. Recurrent topics in Absalom E. Ezugwu's work include Metaheuristic Optimization Algorithms Research (58 papers), Advanced Multi-Objective Optimization Algorithms (28 papers) and Evolutionary Algorithms and Applications (21 papers). Absalom E. Ezugwu is often cited by papers focused on Metaheuristic Optimization Algorithms Research (58 papers), Advanced Multi-Objective Optimization Algorithms (28 papers) and Evolutionary Algorithms and Applications (21 papers). Absalom E. Ezugwu collaborates with scholars based in South Africa, Nigeria and Jordan. Absalom E. Ezugwu's co-authors include Laith Abualigah, Jeffrey O. Agushaka, Olaide N. Oyelade, Abiodun M. Ikotun, Belal Abuhaija, Heming Jia, Andronicus A. Akinyelu, Aderemi O. Adewumi, Olutosin Taiwo and Seyedali Mirjalili and has published in prestigious journals such as SHILAP Revista de lepidopterología, PLoS ONE and Scientific Reports.

In The Last Decade

Absalom E. Ezugwu

152 papers receiving 6.4k citations

Hit Papers

K-means clustering algorithms: A comprehensive review, va... 2021 2026 2022 2024 2022 2022 2022 2022 2022 250 500 750
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 threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

  1. K-means clustering algorithms: A comprehensive review, variants analysis, and advances in the era of big data
    2022 955 citations Abiodun M. Ikotun, Absalom E. Ezugwu et al. profile →
  2. Dwarf Mongoose Optimization Algorithm
    2022 670 citations Jeffrey O. Agushaka, Absalom E. Ezugwu et al. profile →
  3. A comprehensive survey of clustering algorithms: State-of-the-art machine learning applications, taxonomy, challenges, and future research prospects
    2022 493 citations Absalom E. Ezugwu, Abiodun M. Ikotun et al. profile →
  4. Prairie Dog Optimization Algorithm
    2022 415 citations Absalom E. Ezugwu, Jeffrey O. Agushaka et al. profile →
  5. Gazelle optimization algorithm: a novel nature-inspired metaheuristic optimizer
    2022 326 citations Jeffrey O. Agushaka, Absalom E. Ezugwu et al. profile →
  6. Ebola Optimization Search Algorithm: A New Nature-Inspired Metaheuristic Optimization Algorithm
    2022 324 citations Absalom E. Ezugwu, Laith Abualigah et al. IEEE Access profile →
  7. Metaheuristics: a comprehensive overview and classification along with bibliometric analysis
    2021 193 citations Absalom E. Ezugwu, Jeffrey O. Agushaka et al. profile →

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Absalom E. Ezugwu South Africa 38 3.0k 949 897 861 713 167 6.7k
Václav Snåšel Czechia 38 2.7k 0.9× 907 1.0× 831 0.9× 1.1k 1.3× 1.0k 1.4× 572 7.4k
Mohammed A. A. Al‐qaness China 44 3.2k 1.0× 1.2k 1.3× 771 0.9× 1.2k 1.4× 1.2k 1.6× 174 7.1k
Ahmed A. Ewees Egypt 48 4.5k 1.5× 1.5k 1.6× 1.3k 1.5× 1.4k 1.6× 641 0.9× 152 8.6k
Mohammed Azmi Al‐Betar Jordan 52 4.4k 1.5× 1.0k 1.1× 1.2k 1.3× 1.7k 1.9× 1.1k 1.6× 265 9.1k
Yu Xue China 43 3.0k 1.0× 1.5k 1.6× 881 1.0× 426 0.5× 474 0.7× 177 5.6k
Diego Oliva Mexico 49 4.6k 1.5× 1.8k 1.9× 1.3k 1.5× 1.3k 1.5× 391 0.5× 215 8.1k
Julián Luengo Spain 31 6.3k 2.1× 1.4k 1.5× 964 1.1× 988 1.1× 429 0.6× 80 8.7k
Lê Hoàng Sơn Vietnam 58 2.4k 0.8× 1.1k 1.1× 790 0.9× 1.0k 1.2× 1.7k 2.4× 256 9.1k
Nebojša Bačanin Serbia 42 2.6k 0.9× 898 0.9× 361 0.4× 1.0k 1.2× 1.2k 1.6× 282 5.7k
Zhihua Cui China 41 3.8k 1.3× 1.1k 1.1× 1.4k 1.6× 1.3k 1.5× 1.8k 2.6× 249 8.0k

Countries citing papers authored by Absalom E. Ezugwu

Since Specialization
Citations

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

Fields of papers citing papers by Absalom E. Ezugwu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Absalom E. Ezugwu. 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 Absalom E. Ezugwu. The network helps show where Absalom E. Ezugwu may publish in the future.

Co-authorship network of co-authors of Absalom E. Ezugwu

This figure shows the co-authorship network connecting the top 25 collaborators of Absalom E. Ezugwu. A scholar is included among the top collaborators of Absalom E. Ezugwu 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 Absalom E. Ezugwu. Absalom E. Ezugwu 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.
Ekinci, Serdar, Davut İzci, Kashif Saleem, et al.. (2025). Advanced control parameter optimization in DC motors and liquid level systems. Scientific Reports. 15(1). 1394–1394. 7 indexed citations
2.
Ezugwu, Absalom E., et al.. (2025). Deep Learning-Augmented Evolutionary Strategies for Intelligent Global Optimization. IEEE Access. 13. 70138–70178.
3.
Ghasemi, Mojtaba, Mohamed Deriche, Pavel Trojovský, et al.. (2025). An efficient bio-inspired algorithm based on humpback whale migration for constrained engineering optimization. Results in Engineering. 25. 104215–104215. 14 indexed citations
4.
5.
Rizk‐Allah, Rizk M., Davut İzci, Serdar Ekinci, et al.. (2024). Incorporating adaptive local search and experience-based perturbed learning into artificial rabbits optimizer for improved DC motor speed regulation. International Journal of Electrical Power & Energy Systems. 162. 110266–110266. 9 indexed citations
6.
Ezugwu, Absalom E., et al.. (2024). Machine learning-based classification of medication adherence among patients with noncommunicable diseases. Informatics in Medicine Unlocked. 52. 101611–101611. 1 indexed citations
7.
Ezugwu, Absalom E., et al.. (2024). Classical Machine Learning: Seventy Years of Algorithmic Learning Evolution. Data Intelligence. 7(4). 947–996. 3 indexed citations
8.
Jangir, Pradeep, Absalom E. Ezugwu, Kashif Saleem, et al.. (2024). A hybrid mutational Northern Goshawk and elite opposition learning artificial rabbits optimizer for PEMFC parameter estimation. Scientific Reports. 14(1). 28657–28657. 20 indexed citations
9.
Jangir, Pradeep, Absalom E. Ezugwu, Kashif Saleem, et al.. (2024). A levy chaotic horizontal vertical crossover based artificial hummingbird algorithm for precise PEMFC parameter estimation. Scientific Reports. 14(1). 29597–29597. 19 indexed citations
10.
Agrawal, Sunilkumar P., Pradeep Jangir, Laith Abualigah, et al.. (2024). The quick crisscross sine cosine algorithm for optimal FACTS placement in uncertain wind integrated scenario based power systems. Results in Engineering. 25. 103703–103703. 26 indexed citations
11.
Abualigah, Laith, Abiodun M. Ikotun, Mohammad Shehab, et al.. (2024). A review of krill herd algorithm: optimization and its applications. Elsevier eBooks. 231–239. 5 indexed citations
12.
Abualigah, Laith, Abiodun M. Ikotun, Agostino Forestiero, et al.. (2024). Quantum approximate optimization algorithm: a review study and problems. Elsevier eBooks. 147–165. 9 indexed citations
13.
Abualigah, Laith, et al.. (2024). A review of Henry gas solubility optimization algorithm: a robust optimizer and applications. Elsevier eBooks. 177–192. 8 indexed citations
14.
Nabi, Shaik Abdul, et al.. (2024). Distributed private preserving learning based chaotic encryption framework for cognitive healthcare IoT systems. Informatics in Medicine Unlocked. 49. 101547–101547. 15 indexed citations
15.
Abualigah, Laith, Abiodun M. Ikotun, Raed Abu Zitar, et al.. (2024). Arithmetic optimization algorithm: a review and analysis. Elsevier eBooks. 73–87. 7 indexed citations
16.
Chakraborty, Sanjoy, Apu Kumar Saha, Absalom E. Ezugwu, Ratul Chakraborty, & Ashim Saha. (2023). Horizontal crossover and co-operative hunting-based Whale Optimization Algorithm for feature selection. Knowledge-Based Systems. 282. 111108–111108. 22 indexed citations
17.
Ezugwu, Absalom E., et al.. (2019). Automatic Data Clustering Using Hybrid Firefly Particle Swarm Optimization Algorithm. IEEE Access. 7. 184963–184984. 51 indexed citations
18.
Ezugwu, Absalom E., Aderemi O. Adewumi, & Marc Frîncu. (2017). Simulated annealing based symbiotic organisms search optimization algorithm for traveling salesman problem. Expert Systems with Applications. 77. 189–210. 144 indexed citations
19.
Ezugwu, Absalom E., et al.. (2017). Energy Neutral Hierarchical Routing Protocol for Energy Harvesting Wireless Sensor Network. International journal of communication. 2. 1 indexed citations
20.
Ezugwu, Absalom E., et al.. (2010). Markov Chain Simulation of HIV/AIDS Movement Pattern. 8(2). 156–167. 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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