João Soares

5.7k total citations
196 papers, 4.4k citations indexed

About

João Soares is a scholar working on Electrical and Electronic Engineering, Control and Systems Engineering and Automotive Engineering. According to data from OpenAlex, João Soares has authored 196 papers receiving a total of 4.4k indexed citations (citations by other indexed papers that have themselves been cited), including 184 papers in Electrical and Electronic Engineering, 66 papers in Control and Systems Engineering and 27 papers in Automotive Engineering. Recurrent topics in João Soares's work include Smart Grid Energy Management (140 papers), Electric Vehicles and Infrastructure (68 papers) and Electric Power System Optimization (68 papers). João Soares is often cited by papers focused on Smart Grid Energy Management (140 papers), Electric Vehicles and Infrastructure (68 papers) and Electric Power System Optimization (68 papers). João Soares collaborates with scholars based in Portugal, Brazil and Spain. João Soares's co-authors include Zita Vale, Hugo Morais, Tiago Sousa, Fernando Lezama, Pedro Faria, Mohammad Ali Fotouhi Ghazvini, Bruno Canizes, Tiago Pinto, Gilberto Orivaldo Chierice and Éder Tadeu Gomes Cavalheiro and has published in prestigious journals such as SHILAP Revista de lepidopterología, Renewable and Sustainable Energy Reviews and Journal of Cleaner Production.

In The Last Decade

João Soares

184 papers receiving 4.2k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
João Soares Portugal 36 3.6k 1.5k 793 475 299 196 4.4k
Nian Liu China 40 5.7k 1.6× 3.4k 2.2× 906 1.1× 482 1.0× 280 0.9× 265 6.8k
João Martins Portugal 30 2.6k 0.7× 1.8k 1.2× 332 0.4× 622 1.3× 391 1.3× 304 4.0k
Jiashen Teh Malaysia 38 2.6k 0.7× 2.1k 1.3× 526 0.7× 260 0.5× 128 0.4× 138 4.3k
Akhtar Hussain South Korea 30 2.9k 0.8× 2.0k 1.3× 480 0.6× 290 0.6× 109 0.4× 96 3.6k
Zhengmao Li China 35 2.7k 0.7× 1.5k 0.9× 288 0.4× 200 0.4× 166 0.6× 103 3.5k
Chao Long China 28 4.6k 1.3× 2.6k 1.7× 189 0.2× 574 1.2× 168 0.6× 104 5.2k
Jagadeesh Pasupuleti Malaysia 27 1.8k 0.5× 847 0.5× 457 0.6× 478 1.0× 103 0.3× 141 2.6k
Hugo Morais Portugal 38 4.5k 1.2× 2.1k 1.3× 1.1k 1.4× 389 0.8× 249 0.8× 226 5.1k
Mohd Tariq India 34 3.1k 0.9× 1.2k 0.8× 713 0.9× 1.4k 2.9× 41 0.1× 333 4.6k
Yskandar Hamam South Africa 34 1.5k 0.4× 788 0.5× 230 0.3× 295 0.6× 68 0.2× 300 4.2k

Countries citing papers authored by João Soares

Since Specialization
Citations

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

Fields of papers citing papers by João Soares

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of João Soares

This figure shows the co-authorship network connecting the top 25 collaborators of João Soares. A scholar is included among the top collaborators of João Soares 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 Soares. João Soares 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.
Soares, João, et al.. (2025). Optimal probabilistic framework for grid cost operation considering voltage probability constraints and high penetration of EVs, wind and PV generation. Journal of Cleaner Production. 521. 146241–146241. 1 indexed citations
3.
Lezama, Fernando, et al.. (2024). Assessing PV Integration with Evolutionary Algorithms: Insights from the 2024 Competition on Evolutionary Computation in the Energy Domain. Proceedings of the Genetic and Evolutionary Computation Conference Companion. 1738–1744.
4.
Lezama, Fernando, et al.. (2024). Modern distribution system expansion planning considering new market designs: Review and future directions. Renewable and Sustainable Energy Reviews. 202. 114709–114709. 13 indexed citations
5.
6.
Pandya, Kartik S., et al.. (2023). Prosumer Segmentation Strategies for Local Electricity Market Partaking by Monetary Reward. IEEE Access. 11. 62879–62891. 8 indexed citations
7.
Leite, Jônatas Boás, et al.. (2023). Probabilistic-based Optimization for PV Hosting Capacity with Confidence Interval Restrictions. 1933–1940. 1 indexed citations
8.
Soares, João, et al.. (2023). Green Hydrogen and Energy Transition: Current State and Prospects in Portugal. Energies. 16(1). 551–551. 38 indexed citations
9.
Pandya, Kartik S., et al.. (2023). Empowering customers in local electricity market: A prosumer segmentation and operating envelope strategy for joint cost reduction and profit maximization. Electric Power Systems Research. 226. 109908–109908. 12 indexed citations
10.
11.
Franco, John F., et al.. (2022). A Specialized Long-Term Distribution System Expansion Planning Method With the Integration of Distributed Energy Resources. IEEE Access. 10. 19133–19148. 38 indexed citations
12.
Rodríguez‐González, Ansel Y., et al.. (2022). WCCI/GECCO 2020 Competition on Evolutionary Computation in the Energy Domain: An overview from the winner perspective. Applied Soft Computing. 125. 109162–109162. 11 indexed citations
13.
Ramos, Sérgio, et al.. (2021). Energy Management in Smart Building by a Multi-Objective Optimization Model and Pascoletti-Serafini Scalarization Approach. Processes. 9(2). 257–257. 25 indexed citations
14.
Arias, Nataly Bañol, et al.. (2021). Boosting the Usage of Green Energy for EV Charging in Smart Buildings Managed by an Aggregator Through a Novel Renewable Usage Index. IEEE Access. 9. 105357–105368. 16 indexed citations
15.
Faia, Ricardo, João Soares, Tiago Pinto, et al.. (2021). Optimal Model for Local Energy Community Scheduling Considering Peer to Peer Electricity Transactions. IEEE Access. 9. 12420–12430. 76 indexed citations
16.
Ramos, Sérgio, et al.. (2020). A Mixed Binary Linear Programming Model for Optimal Energy Management of Smart Buildings. Energies. 13(7). 1719–1719. 25 indexed citations
17.
Soares, João, Tiago Pinto, Fernando Lezama, & Hugo Morais. (2018). Survey on Complex Optimization and Simulation for the New Power Systems Paradigm. Complexity. 2018(1). 64 indexed citations
18.
Lezama, Fernando, João Soares, Pablo Hernández-Leal, et al.. (2018). Local Energy Markets: Paving the Path Toward Fully Transactive Energy Systems. IEEE Transactions on Power Systems. 34(5). 4081–4088. 247 indexed citations
19.
Soares, João, Fernando Lezama, Tiago Pinto, & Hugo Morais. (2018). Complex Optimization and Simulation in Power Systems. Complexity. 2018(1). 2 indexed citations
20.
Soares, João, et al.. (2018). Stochastic interval-based optimal offering model for residential energy management systems by household owners. International Journal of Electrical Power & Energy Systems. 105. 201–219. 50 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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