João A. Duro

600 total citations
13 papers, 410 citations indexed

About

João A. Duro is a scholar working on Computational Theory and Mathematics, Artificial Intelligence and Management Science and Operations Research. According to data from OpenAlex, João A. Duro has authored 13 papers receiving a total of 410 indexed citations (citations by other indexed papers that have themselves been cited), including 10 papers in Computational Theory and Mathematics, 5 papers in Artificial Intelligence and 3 papers in Management Science and Operations Research. Recurrent topics in João A. Duro's work include Advanced Multi-Objective Optimization Algorithms (10 papers), Metaheuristic Optimization Algorithms Research (4 papers) and Optimal Experimental Design Methods (3 papers). João A. Duro is often cited by papers focused on Advanced Multi-Objective Optimization Algorithms (10 papers), Metaheuristic Optimization Algorithms Research (4 papers) and Optimal Experimental Design Methods (3 papers). João A. Duro collaborates with scholars based in United Kingdom, India and Israel. João A. Duro's co-authors include Qingfu Zhang, Dhish Kumar Saxena, Kalyanmoy Deb, Ashutosh Tiwari, Hyunsun A. Kim, Aydin Nassehi, Chris Bowen, Julián Padget, Arnab Sinha and José Valente de Oliveira and has published in prestigious journals such as European Journal of Operational Research, IEEE Transactions on Evolutionary Computation and Mechanical Systems and Signal Processing.

In The Last Decade

João A. Duro

12 papers receiving 400 citations

Peers

João A. Duro
João A. Duro
Citations per year, relative to João A. Duro João A. Duro (= 1×) peers Lie Meng Pang

Countries citing papers authored by João A. Duro

Since Specialization
Citations

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

Fields of papers citing papers by João A. Duro

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by João A. Duro. 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 João A. Duro. The network helps show where João A. Duro may publish in the future.

Co-authorship network of co-authors of João A. Duro

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

All Works

13 of 13 papers shown
1.
Buckley, Charlotte, et al.. (2023). Can Social Norms Explain Long-Term Trends in Alcohol Use? Insights from Inverse Generative Social Science. Journal of Artificial Societies and Social Simulation. 26(2). 6 indexed citations
3.
Duro, João A., et al.. (2022). Methods for constrained optimization of expensive mixed-integer multi-objective problems, with application to an internal combustion engine design problem. European Journal of Operational Research. 307(1). 421–446. 7 indexed citations
4.
Duro, João A., et al.. (2022). Toward scalable benchmark problems for multi-objective multidisciplinary optimization. 133–140. 1 indexed citations
5.
Duro, João A., et al.. (2021). Component-based design of multi-objective evolutionary algorithms using the Tigon optimization library. Proceedings of the Genetic and Evolutionary Computation Conference Companion. 1531–1539. 1 indexed citations
6.
Duro, João A., Yiming Yan, Ioannis Giagkiozis, et al.. (2020). Liger: A cross-platform open-source integrated optimization and decision-making environment. Applied Soft Computing. 98. 106851–106851. 3 indexed citations
7.
Duro, João A., et al.. (2018). Collaborative multi-objective optimization for distributed design of complex products. Proceedings of the Genetic and Evolutionary Computation Conference. 625–632. 3 indexed citations
8.
Duro, João A., Julián Padget, Chris Bowen, Hyunsun A. Kim, & Aydin Nassehi. (2015). Multi-sensor data fusion framework for CNC machining monitoring. Mechanical Systems and Signal Processing. 66-67. 505–520. 114 indexed citations
9.
Saxena, Dhish Kumar, Arnab Sinha, João A. Duro, & Qingfu Zhang. (2015). Entropy-Based Termination Criterion for Multiobjective Evolutionary Algorithms. IEEE Transactions on Evolutionary Computation. 20(4). 485–498. 22 indexed citations
10.
Duro, João A., Dhish Kumar Saxena, Kalyanmoy Deb, & Qingfu Zhang. (2014). Machine learning based decision support for many-objective optimization problems. Neurocomputing. 146. 30–47. 19 indexed citations
11.
Saxena, Dhish Kumar, João A. Duro, Ashutosh Tiwari, Kalyanmoy Deb, & Qingfu Zhang. (2012). Objective Reduction in Many-Objective Optimization: Linear and Nonlinear Algorithms. IEEE Transactions on Evolutionary Computation. 17(1). 77–99. 224 indexed citations
12.
Saxena, Dhish Kumar, et al.. (2012). Identifying the redundant, and ranking the critical, constraints in practical optimization problems. Engineering Optimization. 45(7). 787–809. 1 indexed citations
13.
Duro, João A. & José Valente de Oliveira. (2008). Particle swarm optimization applied to the chess game. 1447. 3702–3709. 9 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.

Explore authors with similar magnitude of impact

Rankless by CCL
2026