Javier Arroyo

1.6k total citations · 2 hit papers
17 papers, 1.0k citations indexed

About

Javier Arroyo is a scholar working on Building and Construction, Control and Systems Engineering and Electrical and Electronic Engineering. According to data from OpenAlex, Javier Arroyo has authored 17 papers receiving a total of 1.0k indexed citations (citations by other indexed papers that have themselves been cited), including 13 papers in Building and Construction, 6 papers in Control and Systems Engineering and 5 papers in Electrical and Electronic Engineering. Recurrent topics in Javier Arroyo's work include Building Energy and Comfort Optimization (13 papers), Advanced Control Systems Optimization (6 papers) and Smart Grid Energy Management (5 papers). Javier Arroyo is often cited by papers focused on Building Energy and Comfort Optimization (13 papers), Advanced Control Systems Optimization (6 papers) and Smart Grid Energy Management (5 papers). Javier Arroyo collaborates with scholars based in Belgium, United States and Australia. Javier Arroyo's co-authors include Lieve Helsen, Fred Spiessens, Draguna Vrabie, Michael Wetter, David Blum, Ján Drgoňa, Juraj Oravec, Iago Cupeiro Figueroa, Donghun Kim and Krzysztof Arendt and has published in prestigious journals such as Applied Energy, Energy and Buildings and ACM SIGMOD Record.

In The Last Decade

Javier Arroyo

17 papers receiving 973 citations

Hit Papers

All you need to know abou... 2020 2026 2022 2024 2020 2022 100 200 300 400 500
What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

  1. All you need to know about model predictive control for buildings
    2020 570 citations Ján Drgoňa, Javier Arroyo et al. Annual Reviews in Control profile →
  2. Reinforced model predictive control (RL-MPC) for building energy management
    2022 134 citations Javier Arroyo, Carlo Manna et al. Applied Energy profile →

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Javier Arroyo Belgium 11 744 400 335 194 153 17 1.0k
David Blum United States 14 928 1.2× 566 1.4× 378 1.1× 269 1.4× 197 1.3× 29 1.3k
Krzysztof Arendt Denmark 12 826 1.1× 334 0.8× 258 0.8× 226 1.2× 148 1.0× 24 1.1k
David Sturzenegger Switzerland 10 767 1.0× 425 1.1× 359 1.1× 188 1.0× 104 0.7× 15 988
Ján Drgoňa United States 14 897 1.2× 482 1.2× 574 1.7× 263 1.4× 201 1.3× 46 1.4k
Donghun Kim United States 19 1.1k 1.4× 522 1.3× 462 1.4× 268 1.4× 278 1.8× 75 1.5k
Brandon Hencey United States 16 732 1.0× 404 1.0× 589 1.8× 155 0.8× 191 1.2× 45 1.2k
Juraj Oravec Slovakia 11 453 0.6× 257 0.6× 509 1.5× 141 0.7× 187 1.2× 67 967
Yudong Ma United States 11 1.1k 1.4× 573 1.4× 799 2.4× 239 1.2× 196 1.3× 13 1.5k
Iakovos Michailidis Greece 16 580 0.8× 613 1.5× 463 1.4× 179 0.9× 112 0.7× 50 1.2k
Lukáš Ferkl Czechia 12 653 0.9× 199 0.5× 337 1.0× 129 0.7× 163 1.1× 31 881

Countries citing papers authored by Javier Arroyo

Since Specialization
Citations

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

Fields of papers citing papers by Javier Arroyo

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Javier Arroyo

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

All Works

17 of 17 papers shown
1.
Huang, Renke, et al.. (2024). Safe deep reinforcement learning for building energy management. Applied Energy. 377. 124328–124328. 12 indexed citations
2.
Arroyo, Javier, et al.. (2024). The cost of CO2 emissions abatement in a micro energy community in a Belgian context. Lirias (KU Leuven). 16. 100162–100162. 1 indexed citations
3.
Arroyo, Javier, et al.. (2023). Parameter Estimation of Modelica Building Models Using CasADi. Linköping electronic conference proceedings. 204. 301–310. 2 indexed citations
4.
Arroyo, Javier, Erik Delarue, Johan Driesen, et al.. (2023). Prototyping the DOPTEST Framework for Simulation-Based Testing of System Integration Strategies in Districts. Building Simulation Conference proceedings. 18. 3 indexed citations
5.
Arroyo, Javier, Carlo Manna, Fred Spiessens, & Lieve Helsen. (2022). Reinforced model predictive control (RL-MPC) for building energy management. Applied Energy. 309. 118346–118346. 134 indexed citations breakdown →
6.
Arroyo, Javier, Fred Spiessens, & Lieve Helsen. (2022). Comparison of Model Complexities in Optimal Control Tested in a Real Thermally Activated Building System. Buildings. 12(5). 539–539. 18 indexed citations
7.
Arroyo, Javier, Fred Spiessens, & Lieve Helsen. (2022). Comparison of Optimal Control Techniques for Building Energy Management. Frontiers in Built Environment. 8. 20 indexed citations
8.
Blum, David, Javier Arroyo, Sen Huang, et al.. (2021). Building optimization testing framework (BOPTEST) for simulation-based benchmarking of control strategies in buildings. Journal of Building Performance Simulation. 14(5). 586–610. 101 indexed citations
9.
Arroyo, Javier, et al.. (2021). A data driven method for optimal sensor placement in multi-zone buildings. Energy and Buildings. 243. 110956–110956. 22 indexed citations
10.
Arroyo, Javier, Carlo Manna, Fred Spiessens, & Lieve Helsen. (2021). An Open-AI gym environment for the Building Optimization Testing (BOPTEST) framework. Building Simulation Conference proceedings. 21 indexed citations
11.
Arroyo, Javier, Fred Spiessens, & Lieve Helsen. (2020). Identification of multi-zone grey-box building models for use in model predictive control. Journal of Building Performance Simulation. 13(4). 472–486. 59 indexed citations
12.
Drgoňa, Ján, Javier Arroyo, Iago Cupeiro Figueroa, et al.. (2020). All you need to know about model predictive control for buildings. Annual Reviews in Control. 50. 190–232. 570 indexed citations breakdown →
13.
Blum, David, Filip Jorissen, Sen Huang, et al.. (2020). Prototyping The BOPTEST Framework For Simulation-Based Testing Of Advanced Control Strategies In Buildings. Building Simulation Conference proceedings. 16. 2737–2744. 28 indexed citations
14.
Arroyo, Javier, et al.. (2018). A Python-Based Toolbox for Model Predictive Control Applied to Buildings. Purdue e-Pubs (Purdue University System). 8 indexed citations
15.
Arroyo, Javier, et al.. (1996). The design and implementation of K: a high-level knowledge-base programming language of OSAM*.KBMS. The VLDB Journal. 5(3). 181–195. 5 indexed citations
16.
Su, Stanley Y. W., et al.. (1993). OSAM*.KBMS. 540–541. 10 indexed citations
17.
Su, Stanley Y. W., et al.. (1993). OSAM*.KBMS. ACM SIGMOD Record. 22(2). 540–541. 2 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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