Bruno Canizes

1.2k total citations
72 papers, 872 citations indexed

About

Bruno Canizes is a scholar working on Electrical and Electronic Engineering, Control and Systems Engineering and Safety, Risk, Reliability and Quality. According to data from OpenAlex, Bruno Canizes has authored 72 papers receiving a total of 872 indexed citations (citations by other indexed papers that have themselves been cited), including 69 papers in Electrical and Electronic Engineering, 25 papers in Control and Systems Engineering and 15 papers in Safety, Risk, Reliability and Quality. Recurrent topics in Bruno Canizes's work include Smart Grid Energy Management (48 papers), Optimal Power Flow Distribution (28 papers) and Electric Power System Optimization (26 papers). Bruno Canizes is often cited by papers focused on Smart Grid Energy Management (48 papers), Optimal Power Flow Distribution (28 papers) and Electric Power System Optimization (26 papers). Bruno Canizes collaborates with scholars based in Portugal, United States and Malaysia. Bruno Canizes's co-authors include Zita Vale, João Soares, Hugo Morais, Fernando Lezama, H.M. Khodr, Cristina Costa-Lobo, Mohammad Ali Fotouhi Ghazvini, Juan M. Corchado, Pedro Faria and Tiago Sousa and has published in prestigious journals such as Applied Energy, Energy Conversion and Management and IEEE Access.

In The Last Decade

Bruno Canizes

63 papers receiving 841 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Bruno Canizes Portugal 15 794 301 203 88 70 72 872
Miloš Pantoš Slovenia 18 964 1.2× 268 0.9× 312 1.5× 112 1.3× 64 0.9× 54 1.1k
Abdorreza Rabiee Iran 22 1.0k 1.3× 371 1.2× 254 1.3× 94 1.1× 44 0.6× 34 1.1k
Shan Gao China 14 593 0.7× 207 0.7× 155 0.8× 42 0.5× 60 0.9× 79 653
Donghan Feng China 17 713 0.9× 230 0.8× 233 1.1× 94 1.1× 52 0.7× 94 859
Davide Falabretti Italy 17 654 0.8× 353 1.2× 158 0.8× 38 0.4× 60 0.9× 71 735
Ali Ehsan China 13 981 1.2× 527 1.8× 169 0.8× 76 0.9× 49 0.7× 26 1.1k
Spyros Giannelos United Kingdom 16 584 0.7× 161 0.5× 121 0.6× 34 0.4× 71 1.0× 33 706
Abdulaziz Almutairi Saudi Arabia 15 528 0.7× 230 0.8× 188 0.9× 57 0.6× 87 1.2× 54 684
Nicholas Etherden Sweden 13 773 1.0× 452 1.5× 90 0.4× 90 1.0× 59 0.8× 47 836
D. Saxena India 12 611 0.8× 366 1.2× 94 0.5× 28 0.3× 36 0.5× 53 714

Countries citing papers authored by Bruno Canizes

Since Specialization
Citations

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

Fields of papers citing papers by Bruno Canizes

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Bruno Canizes

This figure shows the co-authorship network connecting the top 25 collaborators of Bruno Canizes. A scholar is included among the top collaborators of Bruno Canizes 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 Bruno Canizes. Bruno Canizes 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.
Castro, Fábio Fernandes Morato, Bruno Canizes, João Soares, et al.. (2025). Risk-based optimal network planning considering resources remuneration and daily uncertainty. Applied Energy. 386. 125531–125531.
2.
Canizes, Bruno, et al.. (2025). A logic-based flexibility services tool to support a rich renewable distribution network operation. Sustainable Energy Grids and Networks. 43. 101746–101746.
3.
Castro, Fábio Fernandes Morato, Bruno Canizes, João Soares, José Almeida, & Zita Vale. (2024). Comprehensive Framework for Distribution Network Multi-Investment Expansion Planning: Emissions, Uncertainty, and Resource Remuneration Integration. Energy Conversion and Management. 316. 118734–118734. 7 indexed citations
4.
Almeida, José, João Soares, Bruno Canizes, Fernando Lezama, & Zita Vale. (2024). Investigating Local Market Impact: An Hour-ahead Energy Resource Management Approach for EV Aggregator. 1–5. 1 indexed citations
5.
6.
Lezama, Fernando, José Almeida, João Soares, Bruno Canizes, & Zita Vale. (2023). Insights into the 2022 WCCI-GECCO Competition: Statistical Analysis of Evolutionary Computation in the Energy Domain. 789–794.
7.
Castro, Fábio Fernandes Morato, Bruno Canizes, João Soares, & Zita Vale. (2023). Hourly uncertainty applied to optimal expansion planning considering energy storage and seasonal network impacts. 1–5. 1 indexed citations
8.
Canizes, Bruno, et al.. (2023). Local Renewable Energy Communities: Classification and Sizing. Energies. 16(5). 2389–2389. 6 indexed citations
9.
Faria, Pedro, et al.. (2023). Production and Maintenance Scheduling for Total Cost and Machine Longevity Optimization. 1–6. 1 indexed citations
10.
Baptista, José, Pedro Faria, Bruno Canizes, & Tiago Pinto. (2022). Power Quality of Renewable Energy Source Systems: A New Paradigm of Electrical Grids. Energies. 15(9). 3195–3195. 1 indexed citations
11.
Canizes, Bruno, João Soares, José Almeida, & Zita Vale. (2022). Hour-ahead energy resource scheduling optimization for smart power distribution networks considering local energy market. Energy Reports. 8. 575–582. 8 indexed citations
12.
Lezama, Fernando, João Soares, Bruno Canizes, & Zita Vale. (2021). A Statistical Analysis of Performance in the 2021 CEC-GECCO-PESGM Competition on Evolutionary Computation in the Energy Domain. 2021 IEEE Symposium Series on Computational Intelligence (SSCI). 1–8. 2 indexed citations
13.
Soares, João, Bruno Canizes, & Zita Vale. (2021). Rethinking the Distribution Power Network Planning and Operation for a Sustainable Smart Grid and Smooth Interaction with Electrified Transportation. Energies. 14(23). 7931–7931. 1 indexed citations
14.
Canizes, Bruno, João Soares, Ângelo Costa, et al.. (2019). Electric Vehicles’ User Charging Behaviour Simulator for a Smart City. Energies. 12(8). 1470–1470. 59 indexed citations
15.
Canizes, Bruno, et al.. (2019). Optimal expansion planning considering storage investment and seasonal effect of demand and renewable generation. Renewable Energy. 138. 937–954. 49 indexed citations
16.
Soares, João, Fernando Lezama, Bruno Canizes, et al.. (2018). Day-Ahead Stochastic Scheduling Model Considering Market Transactions in Smart Grids. Zenodo (CERN European Organization for Nuclear Research). 1–6. 2 indexed citations
17.
18.
Soares, João, Bruno Canizes, Zita Vale, & Ganesh K. Venayagamoorthy. (2016). Benders' decomposition applied to Energy Resource Management in smart distribution networks. Zenodo (CERN European Organization for Nuclear Research). 1–8. 2 indexed citations
19.
Vale, Zita, et al.. (2011). Logic programming and fuzzy Monte Carlo for distribution network reconfiguration. 23. 1–6. 4 indexed citations
20.
Vale, Zita, Carlos Ramos, Pedro Faria, et al.. (2010). Comparison between deterministic and meta-heuristic methods applied to ancillary services dispatch. 6096. 731–741. 3 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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