Rodrigo Olivares

892 total citations
47 papers, 569 citations indexed

About

Rodrigo Olivares is a scholar working on Artificial Intelligence, Industrial and Manufacturing Engineering and Computer Networks and Communications. According to data from OpenAlex, Rodrigo Olivares has authored 47 papers receiving a total of 569 indexed citations (citations by other indexed papers that have themselves been cited), including 24 papers in Artificial Intelligence, 16 papers in Industrial and Manufacturing Engineering and 10 papers in Computer Networks and Communications. Recurrent topics in Rodrigo Olivares's work include Metaheuristic Optimization Algorithms Research (15 papers), Vehicle Routing Optimization Methods (9 papers) and Optimization and Packing Problems (8 papers). Rodrigo Olivares is often cited by papers focused on Metaheuristic Optimization Algorithms Research (15 papers), Vehicle Routing Optimization Methods (9 papers) and Optimization and Packing Problems (8 papers). Rodrigo Olivares collaborates with scholars based in Chile, Brazil and France. Rodrigo Olivares's co-authors include Ricardo Soto, Roberto Muñoz, Broderick Crawford, Victor Hugo C. de Albuquerque, Carla Taramasco, Fernando Paredes, Pedro P. Rebouças Filho, Javier Del Ser, Fabián Riquelme and Carlos Castro and has published in prestigious journals such as Expert Systems with Applications, IEEE Access and Applied Soft Computing.

In The Last Decade

Rodrigo Olivares

45 papers receiving 533 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Rodrigo Olivares Chile 14 210 133 111 97 94 47 569
Fernando Buarque de Lima Neto Brazil 12 350 1.7× 129 1.0× 192 1.7× 42 0.4× 89 0.9× 106 943
Anupriya Gogna India 10 221 1.1× 135 1.0× 69 0.6× 39 0.4× 51 0.5× 15 618
Constantin Suciu Romania 13 105 0.5× 48 0.4× 47 0.4× 83 0.9× 67 0.7× 60 551
Oğuz Fındık Türkiye 10 296 1.4× 136 1.0× 69 0.6× 29 0.3× 28 0.3× 17 626
Erkan Tanyıldızı Türkiye 9 233 1.1× 125 0.9× 51 0.5× 28 0.3× 27 0.3× 34 536
Zheng Xiao China 14 323 1.5× 160 1.2× 59 0.5× 22 0.2× 76 0.8× 54 786
Daniel Sierra-Sosa United States 15 380 1.8× 168 1.3× 72 0.6× 17 0.2× 168 1.8× 52 1.0k
Javad Mohammadzadeh Iran 14 243 1.2× 58 0.4× 18 0.2× 55 0.6× 58 0.6× 41 605
Eatedal Alabdulkreem Saudi Arabia 14 170 0.8× 133 1.0× 31 0.3× 30 0.3× 56 0.6× 59 551
M. Jamal Deen Canada 7 204 1.0× 153 1.2× 56 0.5× 26 0.3× 142 1.5× 8 617

Countries citing papers authored by Rodrigo Olivares

Since Specialization
Citations

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

Fields of papers citing papers by Rodrigo Olivares

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Rodrigo Olivares

This figure shows the co-authorship network connecting the top 25 collaborators of Rodrigo Olivares. A scholar is included among the top collaborators of Rodrigo Olivares 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 Rodrigo Olivares. Rodrigo Olivares 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.
Olivares, Rodrigo, et al.. (2024). Escaping Stagnation through Improved Orca Predator Algorithm with Deep Reinforcement Learning for Feature Selection. Mathematics. 12(8). 1249–1249. 1 indexed citations
2.
Olivares, Rodrigo, et al.. (2024). Intelligent Learning-Based Methods for Determining the Ideal Team Size in Agile Practices. Biomimetics. 9(5). 292–292. 2 indexed citations
3.
Olivares, Rodrigo, et al.. (2024). Enhancing the Efficiency of a Cybersecurity Operations Center Using Biomimetic Algorithms Empowered by Deep Q-Learning. Biomimetics. 9(6). 307–307. 3 indexed citations
4.
Soto, Ricardo, et al.. (2023). An Integral Cybersecurity Approach Using a Many-Objective Optimization Strategy. IEEE Access. 11. 91913–91936. 2 indexed citations
5.
Soto, Ricardo, et al.. (2023). Dynamic Population on Bio-Inspired Algorithms Using Machine Learning for Global Optimization. Biomimetics. 9(1). 7–7. 1 indexed citations
6.
Miranda, Diego, Rodrigo Olivares, Roberto Muñoz, & Jean-Gabriel Minonzio. (2022). Improvement of Patient Classification Using Feature Selection Applied to Bidirectional Axial Transmission. IEEE Transactions on Ultrasonics Ferroelectrics and Frequency Control. 69(9). 2663–2671. 9 indexed citations
7.
Soto, Ricardo, et al.. (2021). A Self-Adaptive Cuckoo Search Algorithm Using a Machine Learning Technique. Mathematics. 9(16). 1840–1840. 10 indexed citations
8.
Soto, Ricardo, et al.. (2021). A Knowledge-Based Hybrid Approach on Particle Swarm Optimization Using Hidden Markov Models. Mathematics. 9(12). 1417–1417. 6 indexed citations
9.
Olivares, Rodrigo, et al.. (2020). An Optimized Brain-Based Algorithm for Classifying Parkinson’s Disease. Applied Sciences. 10(5). 1827–1827. 36 indexed citations
10.
Minonzio, Jean-Gabriel, Rodrigo Olivares, Ricardo Soto, et al.. (2020). Automatic Classifying of Patients With Non-Traumatic Fractures Based on Ultrasonic Guided Wave Spectrum Image Using a Dynamic Support Vector Machine. IEEE Access. 8. 194752–194764. 19 indexed citations
11.
Soto, Ricardo, Broderick Crawford, Rodrigo Olivares, et al.. (2020). A Reactive Population Approach on the Dolphin Echolocation Algorithm for Solving Cell Manufacturing Systems. Mathematics. 8(9). 1389–1389. 6 indexed citations
12.
Soto, Ricardo, et al.. (2020). Clustering-Based Binarization Methods Applied to the Crow Search Algorithm for 0/1 Combinatorial Problems. Mathematics. 8(7). 1070–1070. 15 indexed citations
13.
Weinstein, Alejandro, Stefan Pszczółkowski, Luis Hernández-García, et al.. (2019). Ant Colony Clustering for ROI Identification in Functional Magnetic Resonance Imaging. Computational Intelligence and Neuroscience. 2019. 1–9. 1 indexed citations
14.
Crawford, Broderick, Ricardo Soto, Rodrigo Olivares, et al.. (2019). A self-adaptive biogeography-based algorithm to solve the set covering problem. RAIRO - Operations Research. 53(3). 1033–1059. 3 indexed citations
15.
Taramasco, Carla, et al.. (2019). The patient bed assignment problem solved by autonomous bat algorithm. Applied Soft Computing. 81. 105484–105484. 16 indexed citations
16.
Muñoz, Roberto, et al.. (2019). Online heart monitoring systems on the internet of health things environments: A survey, a reference model and an outlook. Information Fusion. 53. 222–239. 97 indexed citations
17.
Soto, Ricardo, Broderick Crawford, Jose M. Lanza-Gutiérrez, et al.. (2019). Solving the Manufacturing Cell Design Problem through an Autonomous Water Cycle Algorithm. Applied Sciences. 9(22). 4736–4736. 2 indexed citations
18.
Muñoz, Roberto, Rodrigo Olivares, Carla Taramasco, et al.. (2018). Using Black Hole Algorithm to Improve EEG-Based Emotion Recognition. Computational Intelligence and Neuroscience. 2018. 1–21. 32 indexed citations
19.
Taramasco, Carla, et al.. (2018). ADL SoS-based Platform: Using Technology to Enhance the Quality of Life of the Aging Population. 117–123. 1 indexed citations
20.
Soto, Ricardo, Broderick Crawford, Wenceslao Palma, et al.. (2015). Top-kBased Adaptive Enumeration in Constraint Programming. Mathematical Problems in Engineering. 2015. 1–12. 7 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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