Hector E. Perez

2.8k total citations · 2 hit papers
27 papers, 2.3k citations indexed

About

Hector E. Perez is a scholar working on Automotive Engineering, Electrical and Electronic Engineering and Control and Systems Engineering. According to data from OpenAlex, Hector E. Perez has authored 27 papers receiving a total of 2.3k indexed citations (citations by other indexed papers that have themselves been cited), including 22 papers in Automotive Engineering, 21 papers in Electrical and Electronic Engineering and 9 papers in Control and Systems Engineering. Recurrent topics in Hector E. Perez's work include Advanced Battery Technologies Research (22 papers), Advancements in Battery Materials (18 papers) and Advanced Battery Materials and Technologies (10 papers). Hector E. Perez is often cited by papers focused on Advanced Battery Technologies Research (22 papers), Advancements in Battery Materials (18 papers) and Advanced Battery Materials and Technologies (10 papers). Hector E. Perez collaborates with scholars based in United States, China and South Korea. Hector E. Perez's co-authors include Scott Moura, Satadru Dey, Xinfan Lin, Anna G. Stefanopoulou, Jason B. Siegel, Xiao Hu, Matthew P. Castanier, Yi Ding, Shankar Mohan and David A. Howey and has published in prestigious journals such as Journal of The Electrochemical Society, Journal of Power Sources and Automatica.

In The Last Decade

Hector E. Perez

26 papers receiving 2.2k citations

Hit Papers

A lumped-parameter electro-thermal model for cylindrical ... 2014 2026 2018 2022 2014 2019 100 200 300 400 500

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Hector E. Perez United States 18 2.1k 1.9k 385 89 71 27 2.3k
Zechang Sun China 22 1.8k 0.9× 1.7k 0.9× 441 1.1× 71 0.8× 66 0.9× 85 2.1k
Xinfan Lin United States 22 2.1k 1.0× 1.9k 1.0× 469 1.2× 71 0.8× 35 0.5× 65 2.3k
Ephrem Chemali Canada 12 1.5k 0.7× 1.4k 0.7× 449 1.2× 97 1.1× 33 0.5× 12 1.7k
Ala A. Hussein United States 20 1.2k 0.6× 1.1k 0.6× 378 1.0× 95 1.1× 23 0.3× 65 1.4k
Mingwang Wang China 18 990 0.5× 899 0.5× 296 0.8× 46 0.5× 43 0.6× 21 1.1k
Dominik Jöst Germany 11 1.0k 0.5× 1.0k 0.5× 228 0.6× 103 1.2× 32 0.5× 17 1.2k
Zhongyi Quan Canada 19 645 0.3× 1.2k 0.6× 566 1.5× 43 0.5× 207 2.9× 51 1.5k
Serkan Düşmez United States 30 1.9k 0.9× 3.2k 1.6× 497 1.3× 69 0.8× 122 1.7× 72 3.4k
Jae-Moon Lee South Korea 10 951 0.5× 934 0.5× 289 0.8× 51 0.6× 16 0.2× 33 1.1k
Bernard Bäker Germany 16 990 0.5× 834 0.4× 178 0.5× 26 0.3× 70 1.0× 58 1.1k

Countries citing papers authored by Hector E. Perez

Since Specialization
Citations

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

Fields of papers citing papers by Hector E. Perez

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Hector E. Perez. 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 Hector E. Perez. The network helps show where Hector E. Perez may publish in the future.

Co-authorship network of co-authors of Hector E. Perez

This figure shows the co-authorship network connecting the top 25 collaborators of Hector E. Perez. A scholar is included among the top collaborators of Hector E. Perez 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 Hector E. Perez. Hector E. Perez 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.
Park, Saehong, Andrea Pozzi, Hector E. Perez, et al.. (2022). A Deep Reinforcement Learning Framework for Fast Charging of Li-Ion Batteries. IEEE Transactions on Transportation Electrification. 8(2). 2770–2784. 79 indexed citations
2.
Park, Saehong, et al.. (2020). Distributionally Robust Surrogate Optimal Control for Large-Scale Dynamical Systems. 2225–2231. 2 indexed citations
3.
Lin, Xinfan, Hector E. Perez, Jason B. Siegel, & Anna G. Stefanopoulou. (2019). Robust Estimation of Battery System Temperature Distribution Under Sparse Sensing and Uncertainty. IEEE Transactions on Control Systems Technology. 28(3). 753–765. 61 indexed citations
4.
Zhang, Dong, Satadru Dey, Hector E. Perez, & Scott Moura. (2019). Real-Time Capacity Estimation of Lithium-Ion Batteries Utilizing Thermal Dynamics. IEEE Transactions on Control Systems Technology. 28(3). 992–1000. 41 indexed citations
5.
Hu, Xiao, Yusheng Zheng, David A. Howey, et al.. (2019). Battery warm-up methodologies at subzero temperatures for automotive applications: Recent advances and perspectives. Progress in Energy and Combustion Science. 77. 100806–100806. 333 indexed citations breakdown →
6.
Sánchez, Giovanny, et al.. (2019). FXECLMS Algorithm for Active Acoustic Windows: an Experimental Report. IEEE Latin America Transactions. 17(1). 63–70.
7.
Perez, Hector E., Satadru Dey, Xiaolin Hu, & Scott Moura. (2017). Optimal Charging of Li-Ion Batteries via a Single Particle Model with Electrolyte and Thermal Dynamics. Journal of The Electrochemical Society. 164(7). A1679–A1687. 104 indexed citations
8.
Dey, Satadru, Hector E. Perez, & Scott Moura. (2017). Thermal fault diagnostics in Lithium-ion batteries based on a distributed parameter thermal model. 68–73. 5 indexed citations
9.
Zhang, Dong, Satadru Dey, Hector E. Perez, & Scott Moura. (2017). Remaining useful life estimation of Lithium-ion batteries based on thermal dynamics. 4042–4047. 40 indexed citations
10.
Perez, Hector E., et al.. (2016). Piecewise Linear Thermal Model and Recursive Parameter Estimation of a Residential Heating System. eScholarship (California Digital Library). 5 indexed citations
11.
Perez, Hector E.. (2016). Model Based Optimal Control, Estimation, and Validation of Lithium-Ion Batteries. eScholarship (California Digital Library). 9 indexed citations
12.
Perez, Hector E., Xiao Hu, & Scott Moura. (2016). Optimal charging of batteries via a single particle model with electrolyte and thermal dynamics. 4000–4005. 48 indexed citations
13.
Perez, Hector E. & Scott Moura. (2015). Sensitivity-based interval PDE observer for battery SOC estimation. 323–328. 24 indexed citations
14.
Hu, Xiao, Hector E. Perez, & Scott Moura. (2015). Battery Charge Control With an Electro-Thermal-Aging Coupling. 26 indexed citations
15.
Perez, Hector E., et al.. (2015). Enhanced Performance of Li-Ion Batteries via Modified Reference Governors and Electrochemical Models. IEEE/ASME Transactions on Mechatronics. 20(4). 1511–1520. 60 indexed citations
16.
Lin, Xinfan, Hector E. Perez, Shankar Mohan, et al.. (2014). A lumped-parameter electro-thermal model for cylindrical batteries. Journal of Power Sources. 257. 1–11. 503 indexed citations breakdown →
17.
Lin, Xinfan, Huan Fu, Hector E. Perez, et al.. (2013). Parameterization and Observability Analysis of Scalable Battery Clusters for Onboard Thermal Management. Oil & Gas Science and Technology – Revue d’IFP Energies nouvelles. 68(1). 165–178. 90 indexed citations
19.
Perez, Hector E., Jason B. Siegel, Xinfan Lin, et al.. (2012). Parameterization and Validation of an Integrated Electro-Thermal Cylindrical LFP Battery Model. 41–50. 78 indexed citations
20.
Perez, Hector E., Jason B. Siegel, Xinfan Lin, Yi Ding, & Matthew P. Castanier. (2012). Parameterization and Validation of an Integrated Electro-Thermal LFP Battery Model. 6 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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