Sergio Lucia

2.9k total citations · 1 hit paper
104 papers, 2.0k citations indexed

About

Sergio Lucia is a scholar working on Control and Systems Engineering, Electrical and Electronic Engineering and Molecular Biology. According to data from OpenAlex, Sergio Lucia has authored 104 papers receiving a total of 2.0k indexed citations (citations by other indexed papers that have themselves been cited), including 77 papers in Control and Systems Engineering, 13 papers in Electrical and Electronic Engineering and 10 papers in Molecular Biology. Recurrent topics in Sergio Lucia's work include Advanced Control Systems Optimization (67 papers), Fault Detection and Control Systems (62 papers) and Control Systems and Identification (31 papers). Sergio Lucia is often cited by papers focused on Advanced Control Systems Optimization (67 papers), Fault Detection and Control Systems (62 papers) and Control Systems and Identification (31 papers). Sergio Lucia collaborates with scholars based in Germany, Spain and United States. Sergio Lucia's co-authors include Sebastian Engell, Benjamin Karg, Tiago F. Finkler, Rolf Findeisen, Radoslav Paulen, Óscar Lucía, D. Navarro, Pablo Zometa, Moritz Diehl and Markus Kögel and has published in prestigious journals such as IEEE Transactions on Automatic Control, Automatica and IEEE Access.

In The Last Decade

Sergio Lucia

98 papers receiving 1.9k citations

Hit Papers

align trajectories

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.

Multi-stage nonlinear model predictive control applied to a semi-batch polymerization reactor under uncertainty

2013 263 citations Sergio Lucia, Tiago F. Finkler et al. profile →

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Sergio Lucia Germany	23	1.5k	330	135	131	101	104	2.0k
Julio H. Braslavsky Australia	26	2.3k 1.5×	925 2.8×	122 0.9×	152 1.2×	119 1.2×	109	3.0k
D.R. Ramı́rez Spain	18	770 0.5×	264 0.8×	84 0.6×	76 0.6×	111 1.1×	66	1.1k
Haitao Liu China	22	1.0k 0.7×	572 1.7×	62 0.5×	234 1.8×	72 0.7×	181	1.7k
Helen Durand United States	20	1.2k 0.8×	160 0.5×	59 0.4×	151 1.2×	40 0.4×	83	1.6k
Veronica Adetola United States	20	959 0.6×	235 0.7×	78 0.6×	142 1.1×	44 0.4×	71	1.4k
Bing Wang China	20	459 0.3×	468 1.4×	202 1.5×	128 1.0×	129 1.3×	151	1.2k
Saeed Tavakoli Iran	23	674 0.4×	356 1.1×	376 2.8×	135 1.0×	46 0.5×	74	1.6k
Mato Baotić Croatia	22	1.2k 0.8×	455 1.4×	69 0.5×	184 1.4×	116 1.1×	63	1.6k
Maciej Ławryńczuk Poland	22	1.0k 0.7×	232 0.7×	176 1.3×	107 0.8×	76 0.8×	112	1.4k
Arun K. Tangirala India	16	682 0.4×	166 0.5×	120 0.9×	150 1.1×	59 0.6×	89	1.1k

Countries citing papers authored by Sergio Lucia

Since Specialization

Citations

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

Fields of papers citing papers by Sergio Lucia

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Sergio Lucia

This figure shows the co-authorship network connecting the top 25 collaborators of Sergio Lucia. A scholar is included among the top collaborators of Sergio Lucia 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 Sergio Lucia. Sergio Lucia 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

1.

Lucia, Sergio, et al.. (2025). Strategic network design for the chemical recycling of polyurethane rigid foam waste in Germany. Computers & Chemical Engineering. 202. 109273–109273.

2.

Lucia, Sergio, et al.. (2025). Safe reinforcement learning via adaptive robust model predictive shielding. Computers & Chemical Engineering. 206. 109521–109521.

3.

Wohlgemuth, Kerstin, et al.. (2025). Multi-stage model predictive control for slug flow crystallizers using uncertainty-aware surrogate models. Computers & Chemical Engineering. 205. 109456–109456.

4.

Arranz, José M. de la Rosa, et al.. (2025). Investigation on the impact of potassium and mild transport limitations on the pyrolysis behavior of beech wood and its macrocomponents. Journal of Analytical and Applied Pyrolysis. 192. 107201–107201.

5.

Lucia, Sergio, et al.. (2024). Robust nonlinear model predictive control of continuous crystallization using Bayesian last layer surrogate models. IFAC-PapersOnLine. 58(14). 476–481. 1 indexed citations

6.

Lucia, Sergio, et al.. (2024). Learning Iterative Solvers for Accurate and Fast Nonlinear Model Predictive Control via Unsupervised Training. 1843–1850.

7.

Lucia, Sergio, et al.. (2024). Recursive Least Squares-Based Identification for Multi-Step Koopman Operators. 941–946. 1 indexed citations

8.

Lucia, Sergio, et al.. (2023). Sobolev Training for Data-efficient Approximate Nonlinear MPC. IFAC-PapersOnLine. 56(2). 5765–5772. 4 indexed citations

9.

Ramı́rez, D.R., et al.. (2023). Prediction regions based on dissimilarity functions. ISA Transactions. 139. 49–59. 3 indexed citations

10.

Lucia, Sergio, et al.. (2023). Approximate Model Predictive Control Based on Neural Networks in a Cloud-Based Environment. 567–572.

11.

Lucia, Sergio, et al.. (2023). Improved Uncertainty Quantification for Neural Networks With Bayesian Last Layer. IEEE Access. 11. 123149–123160. 9 indexed citations

12.

Kim, Jong Woo, Tilman Barz, Sergio Lucia, et al.. (2022). High‐throughput screening of optimal process conditions using model predictive control. Biotechnology and Bioengineering. 119(12). 3584–3595. 15 indexed citations

13.

Lucia, Sergio, et al.. (2022). Optimization-Based Predictive Congestion Control for the Tor Network: Opportunities and Challenges. ACM Transactions on Internet Technology. 22(4). 1–30. 3 indexed citations

14.

Karg, Benjamin, et al.. (2022). Explainable artificial intelligence for deep learning-based model predictive controllers. 30. 464–471. 1 indexed citations

15.

Albrecht, Sebastian, et al.. (2022). Resilient Control of Interconnected Microgrids Under Attack by Robust Nonlinear MPC. 58–66. 1 indexed citations

16.

Kovatsch, Matthias, et al.. (2021). Open Set Recognition for Machinery Fault Diagnosis. 1–7. 8 indexed citations

17.

Lucia, Sergio, et al.. (2015). Economic Multi-stage Output Feedback NMPC using the Unscented Kalman Filter. IFAC-PapersOnLine. 48(8). 38–43. 9 indexed citations

18.

Lucia, Sergio, et al.. (2014). Economic multi-stage output nonlinear model predictive control. 1837–1842. 8 indexed citations

19.

Lucia, Sergio & Radoslav Paulen. (2014). Robust Nonlinear Model Predictive Control with Reduction of Uncertainty via Robust Optimal Experiment Design. IFAC Proceedings Volumes. 47(3). 1904–1909. 23 indexed citations

20.

Lucia, Sergio, et al.. (2012). A new Robust NMPC Scheme and its Application to a Semi-batch Reactor Example. IFAC Proceedings Volumes. 45(15). 69–74. 52 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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