Draguna Vrabie

9.2k total citations · 6 hit papers
82 papers, 6.4k citations indexed

About

Draguna Vrabie is a scholar working on Control and Systems Engineering, Electrical and Electronic Engineering and Computational Theory and Mathematics. According to data from OpenAlex, Draguna Vrabie has authored 82 papers receiving a total of 6.4k indexed citations (citations by other indexed papers that have themselves been cited), including 44 papers in Control and Systems Engineering, 29 papers in Electrical and Electronic Engineering and 28 papers in Computational Theory and Mathematics. Recurrent topics in Draguna Vrabie's work include Building Energy and Comfort Optimization (24 papers), Adaptive Dynamic Programming Control (21 papers) and Advanced Control Systems Optimization (20 papers). Draguna Vrabie is often cited by papers focused on Building Energy and Comfort Optimization (24 papers), Adaptive Dynamic Programming Control (21 papers) and Advanced Control Systems Optimization (20 papers). Draguna Vrabie collaborates with scholars based in United States, Romania and Belgium. Draguna Vrabie's co-authors include Frank L. Lewis, Vassilis L. Syrmos, Kyriakos G. Vamvoudakis, Murad Abu-Khalaf, Octavian Păstrăvanu, Ján Drgoňa, Lieve Helsen, David Blum, Michael Wetter and Javier Arroyo and has published in prestigious journals such as SHILAP Revista de lepidopterología, Automatica and IEEE Transactions on Power Systems.

In The Last Decade

Draguna Vrabie

73 papers receiving 6.2k citations

Hit Papers

align trajectories sort by overperformance

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.

Optimal Control

2012 1.3k citations Frank L. Lewis, Draguna Vrabie et al. profile →
Reinforcement learning and adaptive dynamic programming for feedback control

2009 1.1k citations Frank L. Lewis, Draguna Vrabie profile →
Reinforcement Learning and Feedback Control: Using Natural Decision Methods to Design Optimal Adaptive Controllers

2012 758 citations Frank L. Lewis, Draguna Vrabie et al. profile →
Adaptive optimal control for continuous-time linear systems based on policy iteration

2008 673 citations Draguna Vrabie, Frank L. Lewis et al. profile →
All you need to know about model predictive control for buildings

2020 570 citations Ján Drgoňa, Javier Arroyo et al. profile →
Neural network approach to continuous-time direct adaptive optimal control for partially unknown nonlinear systems

2009 482 citations Draguna Vrabie, Frank L. Lewis Neural Networks profile →

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Draguna Vrabie United States	23	3.8k	3.3k	2.1k	1.5k	931	82	6.4k
Qinglai Wei China	58	8.0k 2.1×	5.9k 1.8×	4.0k 1.9×	3.5k 2.3×	2.0k 2.1×	230	11.2k
Zhen Ni United States	30	1.3k 0.3×	1.6k 0.5×	867 0.4×	1.3k 0.8×	355 0.4×	131	3.1k
Xiong Yang China	38	3.0k 0.8×	2.3k 0.7×	1.5k 0.7×	1.0k 0.7×	683 0.7×	104	4.3k
Hamidreza Modares United States	42	3.6k 0.9×	3.7k 1.1×	2.1k 1.0×	1.2k 0.8×	812 0.9×	116	6.5k
Pradeep Jangir India	37	1.2k 0.3×	833 0.3×	1.9k 0.9×	1.7k 1.1×	148 0.2×	182	4.5k
Jianqiang Yi China	37	449 0.1×	3.5k 1.1×	1.1k 0.5×	540 0.4×	292 0.3×	344	5.4k
Afshin Faramarzi United States	8	952 0.2×	604 0.2×	1.9k 0.9×	831 0.5×	219 0.2×	9	3.6k
Zhongsheng Hou China	59	1.2k 0.3×	11.2k 3.4×	767 0.4×	1.4k 0.9×	759 0.8×	466	13.8k
Colin N. Jones Switzerland	40	478 0.1×	5.0k 1.5×	511 0.2×	2.0k 1.3×	119 0.1×	262	7.6k
Yanhong Luo China	31	3.2k 0.8×	2.5k 0.8×	1.6k 0.7×	1.3k 0.9×	736 0.8×	130	4.8k

Countries citing papers authored by Draguna Vrabie

Since Specialization

Citations

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

Fields of papers citing papers by Draguna Vrabie

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Draguna Vrabie

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

All Works

Sort: Min cites: Since: Top N: Style:

20 of 20 papers shown

Jiang, Zixin, Xuezheng Wang, Han Li, et al.. (2025). Physics-informed machine learning for building performance simulation-A review of a nascent field. Advances in Applied Energy. 18. 100223–100223. 8 indexed citations

Vrabie, Draguna, et al.. (2024). Real-Time Implementation of Differentiable Predictive Control on Embedded Microcontroller Hardware: A Case Study. IFAC-PapersOnLine. 58(28). 971–976.

Drgoňa, Ján, Aaron Tuor, & Draguna Vrabie. (2024). Learning Constrained Parametric Differentiable Predictive Control Policies With Guarantees. IEEE Transactions on Systems Man and Cybernetics Systems. 54(6). 3596–3607. 11 indexed citations

Ye, Yunyang, Rong Xu, Sen Huang, et al.. (2023). System modeling for grid-interactive efficient building applications. Journal of Building Engineering. 69. 106148–106148. 15 indexed citations

Chen, Zhao, et al.. (2023). Structural inference of networked dynamical systems with universal differential equations. Chaos An Interdisciplinary Journal of Nonlinear Science. 33(2). 23103–23103. 5 indexed citations

Chen, Yan, et al.. (2023). Control Performance Verification – The Hidden Opportunity of Ensuring High Performance of Building Control System. Building Simulation Conference proceedings. 18.

Huang, Sen, et al.. (2023). Simulation-based assessment of ASHRAE Guideline 36, considering energy performance, indoor air quality, and control stability. Building and Environment. 240. 110371–110371. 12 indexed citations

Drgoňa, Ján, Sayak Mukherjee, Aaron Tuor, Mahantesh Halappanavar, & Draguna Vrabie. (2022). Learning Stochastic Parametric Diferentiable Predictive Control Policies. IFAC-PapersOnLine. 55(25). 121–126. 7 indexed citations

Drgoňa, Ján, et al.. (2022). Dissipative Deep Neural Dynamical Systems. SHILAP Revista de lepidopterología. 1. 100–112. 8 indexed citations

10.

Cortez, Wenceslao Shaw, Ján Drgoňa, Aaron Tuor, Mahantesh Halappanavar, & Draguna Vrabie. (2022). Differentiable Predictive Control with Safety Guarantees: A Control Barrier Function Approach. 2022 IEEE 61st Conference on Decision and Control (CDC). 932–938. 6 indexed citations

11.

Drgoňa, Ján, et al.. (2022). Differentiable predictive control: Deep learning alternative to explicit model predictive control for unknown nonlinear systems. Journal of Process Control. 116. 80–92. 41 indexed citations

12.

Huang, Sen, Wangda Zuo, Draguna Vrabie, & Rong Xu. (2021). Modelica-based system modeling for studying control-related faults in chiller plants and boiler plants serving large office buildings. Journal of Building Engineering. 44. 102654–102654. 20 indexed citations

13.

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

14.

Nandanoori, Sai Pushpak, Soumya Kundu, Jianming Lian, et al.. (2021). Sparse Control Synthesis for Uncertain Responsive Loads With Stochastic Stability Guarantees. IEEE Transactions on Power Systems. 37(1). 167–178. 1 indexed citations

15.

Wang, Jing, Sen Huang, Wangda Zuo, & Draguna Vrabie. (2021). Occupant preference-aware load scheduling for resilient communities. Energy and Buildings. 252. 111399–111399. 8 indexed citations

16.

Chandan, Vikas, et al.. (2017). A Learning Framework for Control-Oriented Modeling of Buildings. 473–478. 11 indexed citations

17.

Corbin, Charles D., Draguna Vrabie, & Srinivas Katipamula. (2017). Co-Simulation and Validation of Advanced Building Controls with VOLTTRONTM and EnergyPlusTM. Building Simulation Conference proceedings.

18.

Vrabie, Draguna & Frank L. Lewis. (2009). Neural network approach to continuous-time direct adaptive optimal control for partially unknown nonlinear systems. Neural Networks. 22(3). 237–246. 482 indexed citations breakdown →

19.

Lazǎr, Corneliu, et al.. (2005). Use of neural networks for dynamic modelling and predictive control of power plant systems. Systems Science. 31(1). 37–44. 1 indexed citations

20.

Lazǎr, Corneliu, et al.. (2004). Neuro-predictive control based self-tuning of PID controllers. The European Symposium on Artificial Neural Networks. 391–395. 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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