Diego Oliva

11.1k total citations · 6 hit papers
215 papers, 8.1k citations indexed

About

Diego Oliva is a scholar working on Artificial Intelligence, Computer Vision and Pattern Recognition and Computational Theory and Mathematics. According to data from OpenAlex, Diego Oliva has authored 215 papers receiving a total of 8.1k indexed citations (citations by other indexed papers that have themselves been cited), including 121 papers in Artificial Intelligence, 65 papers in Computer Vision and Pattern Recognition and 51 papers in Computational Theory and Mathematics. Recurrent topics in Diego Oliva's work include Metaheuristic Optimization Algorithms Research (86 papers), Advanced Multi-Objective Optimization Algorithms (47 papers) and Evolutionary Algorithms and Applications (35 papers). Diego Oliva is often cited by papers focused on Metaheuristic Optimization Algorithms Research (86 papers), Advanced Multi-Objective Optimization Algorithms (47 papers) and Evolutionary Algorithms and Applications (35 papers). Diego Oliva collaborates with scholars based in Mexico, Egypt and Spain. Diego Oliva's co-authors include Mohamed Abd Elaziz, Erik Cuevas, Aboul Ella Hassanien, Ahmed A. Ewees, Essam H. Houssein, Gonzalo Pájares, Marco Pérez‐Cisneros, Shengwu Xiong, Salvador Hinojosa and Daniel Zaldívar and has published in prestigious journals such as SHILAP Revista de lepidopterología, Journal of Power Sources and Scientific Reports.

In The Last Decade

Diego Oliva

201 papers receiving 7.9k citations

Hit Papers

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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.

Parameter estimation of photovoltaic cells using an improved chaotic whale optimization algorithm

2017 514 citations Diego Oliva, Mohamed Abd Elaziz et al. profile →
Parameter identification of solar cells using artificial bee colony optimization

2014 404 citations Diego Oliva et al. profile →
An improved Opposition-Based Sine Cosine Algorithm for global optimization

2017 359 citations Mohamed Abd Elaziz, Diego Oliva et al. Expert Systems with Applications profile →
Improved salp swarm algorithm based on particle swarm optimization for feature selection

2018 295 citations Rehab Ali Ibrahim, Ahmed A. Ewees et al. profile →
Liver Cancer Algorithm: A novel bio-inspired optimizer

2023 166 citations Essam H. Houssein, Diego Oliva et al. profile →
Handling imbalanced medical datasets: review of a decade of research

2024 48 citations Diego Oliva et al. profile →

Author Peers

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

Author						Papers	Cites
Diego Oliva	4.6k	1.8k	1.4k	1.3k	1.3k	215	8.1k
Ahmed A. Ewees	4.5k 1.0×	1.5k 0.8×	420 0.3×	1.4k 1.1×	1.3k 1.0×	152	8.6k
Essam H. Houssein	6.3k 1.4×	1.7k 0.9×	686 0.5×	2.4k 1.9×	2.2k 1.7×	259	11.9k
Erik Cuevas	2.8k 0.6×	1.6k 0.9×	468 0.3×	743 0.6×	972 0.7×	215	5.5k
Majdi Mafarja	7.9k 1.7×	2.1k 1.1×	450 0.3×	1.7k 1.3×	2.7k 2.0×	87	12.6k
Gaurav Dhiman	5.0k 1.1×	1.3k 0.7×	258 0.2×	2.0k 1.5×	2.0k 1.5×	235	10.9k
Ibrahim Aljarah	8.0k 1.7×	1.7k 1.0×	326 0.2×	2.0k 1.5×	2.4k 1.9×	117	13.3k
Zhihua Cai	4.1k 0.9×	1.3k 0.7×	481 0.3×	753 0.6×	1.8k 1.3×	224	7.2k
Xuehua Zhao	3.5k 0.8×	584 0.3×	812 0.6×	795 0.6×	1.1k 0.9×	142	5.9k
Dalia Yousri	3.4k 0.7×	574 0.3×	1.9k 1.3×	2.3k 1.7×	840 0.6×	109	6.5k
Mohammed Azmi Al‐Betar	4.4k 1.0×	1.0k 0.6×	284 0.2×	1.7k 1.3×	1.2k 0.9×	265	9.1k

Countries citing papers authored by Diego Oliva

Since Specialization

Citations

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

Fields of papers citing papers by Diego Oliva

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Diego Oliva. 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 Diego Oliva. The network helps show where Diego Oliva may publish in the future.

Co-authorship network of co-authors of Diego Oliva

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

All Works

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20 of 20 papers shown

Oliva, Diego, et al.. (2025). Improving the exploitation in the estimation of distribution algorithm through simulated annealing strategies for solar energy problems. Knowledge-Based Systems. 310. 112949–112949.

Bala, Abubakar, Ali H. Muqaibel, Naveed Iqbal, et al.. (2025). Machine learning for drone detection from images: A review of techniques and challenges. Neurocomputing. 635. 129823–129823. 3 indexed citations

Çelik, Emre, Essam H. Houssein, Mahmoud Abdel-Salam, et al.. (2025). Novel distance-fitness learning scheme for ameliorating metaheuristic optimization. Engineering Science and Technology an International Journal. 65. 102053–102053. 6 indexed citations

Abualigah, Laith, et al.. (2025). Hybrid horned lizard optimization algorithm-aquila optimizer for DC motor. IAES International Journal of Artificial Intelligence. 14(2). 1673–1673. 1 indexed citations

Abualigah, Laith, et al.. (2025). Enhancing photovoltaic parameters based on modified puma optimizer. Bulletin of Electrical Engineering and Informatics. 14(3). 1667–1680. 4 indexed citations

Manita, Ghaith, et al.. (2024). Dynamic Social Particle Swarm Optimization For Automatic Clustering. Procedia Computer Science. 246. 1409–1418. 2 indexed citations

Mousavirad, Seyed Jalaleddin, et al.. (2024). GSK-LocS: Towards a more effective generalisation in population-based neural network training. Alexandria Engineering Journal. 109. 126–143. 1 indexed citations

Rodríguez-Esparza, Erick, Antonio D. Masegosa, Diego Oliva, & Enrique Onieva. (2024). A new Hyper-heuristic based on Adaptive Simulated Annealing and Reinforcement Learning for the Capacitated Electric Vehicle Routing Problem. Expert Systems with Applications. 252. 124197–124197. 25 indexed citations

Oliva, Diego, et al.. (2024). FA-Net: A Fuzzy Attention-aided Deep Neural Network for Pneumonia Detection in Chest X-Rays. 338–343. 3 indexed citations

10.

Oliva, Diego, et al.. (2024). Enhancing Retinal OCT Scans via Metaheuristic-Driven Bayesian Speckle Denoising. 332–337. 1 indexed citations

11.

Abualigah, Laith, et al.. (2024). A novel modified mountain gazelle optimizer for tuning parameter proportional integral derivative of DC motor. Bulletin of Electrical Engineering and Informatics. 13(2). 745–752. 2 indexed citations

12.

Oliva, Diego, et al.. (2024). Digital Image Processing Applied in the Deformation Analysis of Hip Prosthesis: Multivariate Regression Analysis. IEEE Access. 12. 176938–176948.

13.

Bhattacharya, Diptendu, et al.. (2023). Demand prediction of rice growth stage-wise irrigation water requirement and fertilizer using Bayesian genetic algorithm and random forest for yield enhancement. Paddy and Water Environment. 21(2). 275–293. 14 indexed citations

14.

Pereira, João Luiz Junho, et al.. (2023). Manta ray foraging optimizer-based image segmentation with a two-strategy enhancement. Knowledge-Based Systems. 262. 110247–110247. 26 indexed citations

15.

Rizk‐Allah, Rizk M., et al.. (2023). On the Cryptanalysis of a Simplified AES Using a Hybrid Binary Grey Wolf Optimization. Mathematics. 11(18). 3982–3982. 2 indexed citations

16.

Rojas, Omar, et al.. (2022). Local Search Trajectories over S-box space. Journal of Information Security and Applications. 69. 103272–103272. 1 indexed citations

17.

Houssein, Essam H., Sanchari Deb, Diego Oliva, et al.. (2021). Performance of Gradient-Based Optimizer on Charging Station Placement Problem. Mathematics. 9(21). 2821–2821. 18 indexed citations

18.

Elaziz, Mohamed Abd, Laith Abualigah, Dalia Yousri, et al.. (2021). Boosting Atomic Orbit Search Using Dynamic-Based Learning for Feature Selection. Mathematics. 9(21). 2786–2786. 13 indexed citations

19.

Segura, Carlos, et al.. (2020). Metaheuristics in the Optimization of Cryptographic Boolean Functions. Entropy. 22(9). 1052–1052. 5 indexed citations

20.

Ochoa, Alberto, et al.. (2018). Smart City Visualization Tool for the Open Data Georeferenced Analysis Utilizing Machine Learning. 9(2). 25–40. 15 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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