Broderick Crawford

3.7k total citations
166 papers, 1.4k citations indexed

About

Broderick Crawford is a scholar working on Industrial and Manufacturing Engineering, Artificial Intelligence and Computer Networks and Communications. According to data from OpenAlex, Broderick Crawford has authored 166 papers receiving a total of 1.4k indexed citations (citations by other indexed papers that have themselves been cited), including 77 papers in Industrial and Manufacturing Engineering, 75 papers in Artificial Intelligence and 42 papers in Computer Networks and Communications. Recurrent topics in Broderick Crawford's work include Metaheuristic Optimization Algorithms Research (60 papers), Vehicle Routing Optimization Methods (49 papers) and Optimization and Packing Problems (33 papers). Broderick Crawford is often cited by papers focused on Metaheuristic Optimization Algorithms Research (60 papers), Vehicle Routing Optimization Methods (49 papers) and Optimization and Packing Problems (33 papers). Broderick Crawford collaborates with scholars based in Chile, France and Spain. Broderick Crawford's co-authors include Ricardo Soto, Fernando Paredes, Carlos Castro, José García, Éric Monfroy, Gino Astorga, Rodrigo Olivares, Franklin Johnson, Wenceslao Palma and Sanjay Misra and has published in prestigious journals such as SHILAP Revista de lepidopterología, American Journal of Public Health and Expert Systems with Applications.

In The Last Decade

Broderick Crawford

151 papers receiving 1.4k citations

Peers

Broderick Crawford
Ahmet Coşar Türkiye
Halife Kodaz Türkiye
Jiacun Wang United States
Broderick Crawford
Citations per year, relative to Broderick Crawford Broderick Crawford (= 1×) peers Ricardo Soto

Countries citing papers authored by Broderick Crawford

Since Specialization
Citations

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

Fields of papers citing papers by Broderick Crawford

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Broderick Crawford

This figure shows the co-authorship network connecting the top 25 collaborators of Broderick Crawford. A scholar is included among the top collaborators of Broderick Crawford 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 Broderick Crawford. Broderick Crawford 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.
Crawford, Broderick, et al.. (2025). Binary Chaotic White Shark Optimizer for the Unicost Set Covering Problem. Mathematics. 13(13). 2175–2175.
4.
Crawford, Broderick, et al.. (2024). Intelligent decision-making for binary coverage: Unveiling the potential of the multi-armed bandit selector. Expert Systems with Applications. 251. 124112–124112. 1 indexed citations
5.
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
6.
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
7.
Olivares, Rodrigo, et al.. (2023). A Learning—Based Particle Swarm Optimizer for Solving Mathematical Combinatorial Problems. Axioms. 12(7). 643–643. 2 indexed citations
8.
Soto, Ricardo, et al.. (2022). Applying Parallel and Distributed Models on Bio-Inspired Algorithms via a Clustering Method. Mathematics. 10(2). 274–274. 2 indexed citations
9.
Olivares, Rodrigo, Ricardo Soto, Broderick Crawford, et al.. (2022). Entropy–Based Diversification Approach for Bio–Computing Methods. Entropy. 24(9). 1293–1293. 4 indexed citations
10.
Soto, Ricardo, et al.. (2021). Human Behaviour Based Optimization Supported With Self-Organizing Maps for Solving the S-Box Design Problem. IEEE Access. 9. 84605–84618. 30 indexed citations
11.
Soto, Ricardo, et al.. (2021). A Self-Adaptive Cuckoo Search Algorithm Using a Machine Learning Technique. Mathematics. 9(16). 1840–1840. 10 indexed citations
13.
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
14.
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
15.
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
16.
Olivares, Rodrigo, et al.. (2020). An Optimized Brain-Based Algorithm for Classifying Parkinson’s Disease. Applied Sciences. 10(5). 1827–1827. 36 indexed citations
17.
García, José, Broderick Crawford, Ricardo Soto, et al.. (2019). A Db-Scan Binarization Algorithm Applied to Matrix Covering Problems. Computational Intelligence and Neuroscience. 2019. 1–16. 22 indexed citations
18.
Soto, Ricardo, Broderick Crawford, Hanns de la Fuente‐Mella, et al.. (2019). Solving the Manufacturing Cell Design Problem through Binary Cat Swarm Optimization with Dynamic Mixture Ratios. Computational Intelligence and Neuroscience. 2019. 1–16. 13 indexed citations
19.
Soto, Ricardo, Broderick Crawford, Rodrigo Olivares, et al.. (2018). Adaptive Black Hole Algorithm for Solving the Set Covering Problem. Mathematical Problems in Engineering. 2018. 1–23. 20 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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