David Anseán

2.3k total citations
53 papers, 1.8k citations indexed

About

David Anseán is a scholar working on Automotive Engineering, Electrical and Electronic Engineering and Control and Systems Engineering. According to data from OpenAlex, David Anseán has authored 53 papers receiving a total of 1.8k indexed citations (citations by other indexed papers that have themselves been cited), including 49 papers in Automotive Engineering, 48 papers in Electrical and Electronic Engineering and 4 papers in Control and Systems Engineering. Recurrent topics in David Anseán's work include Advanced Battery Technologies Research (49 papers), Advancements in Battery Materials (39 papers) and Advanced Battery Materials and Technologies (21 papers). David Anseán is often cited by papers focused on Advanced Battery Technologies Research (49 papers), Advancements in Battery Materials (39 papers) and Advanced Battery Materials and Technologies (21 papers). David Anseán collaborates with scholars based in Spain, United States and Portugal. David Anseán's co-authors include M. González, Matthieu Dubarry, J.C. Viera, V. Fernandez, Arnaud Devie, Bor Yann Liaw, Luciano Sánchez, Yoana Fernández Pulido, Marta Valledor and Cecilio Blanco and has published in prestigious journals such as Journal of Power Sources, Applied Energy and Sensors.

In The Last Decade

David Anseán

48 papers receiving 1.7k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
David Anseán Spain 20 1.6k 1.6k 158 107 88 53 1.8k
Haijun Ruan China 22 1.3k 0.8× 1.3k 0.8× 147 0.9× 60 0.6× 58 0.7× 44 1.5k
Philipp Dechent Germany 15 1.9k 1.2× 1.8k 1.1× 186 1.2× 211 2.0× 68 0.8× 25 2.0k
Andrew McGordon United Kingdom 26 2.1k 1.3× 2.0k 1.3× 220 1.4× 102 1.0× 164 1.9× 97 2.4k
J.C. Viera Spain 18 1.2k 0.7× 1.2k 0.8× 130 0.8× 61 0.6× 85 1.0× 53 1.4k
M. González Spain 20 1.6k 1.0× 1.7k 1.1× 203 1.3× 86 0.8× 113 1.3× 88 2.0k
Kotub Uddin United Kingdom 20 2.1k 1.3× 2.1k 1.3× 288 1.8× 103 1.0× 96 1.1× 28 2.3k
Mince Li China 13 1.5k 0.9× 1.4k 0.9× 386 2.4× 119 1.1× 47 0.5× 23 1.7k
Simon F. Schuster Germany 11 1.9k 1.2× 1.9k 1.2× 116 0.7× 113 1.1× 134 1.5× 23 2.1k

Countries citing papers authored by David Anseán

Since Specialization
Citations

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

Fields of papers citing papers by David Anseán

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of David Anseán

This figure shows the co-authorship network connecting the top 25 collaborators of David Anseán. A scholar is included among the top collaborators of David Anseán 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 David Anseán. David Anseán 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.
Rodrı́guez, S., et al.. (2025). Efficient high-fidelity modeling of a nickel-rich silicon-graphite cell enabled by optimal spatial distribution. Applied Energy. 389. 125748–125748.
2.
Rodrı́guez, S., et al.. (2024). Development, characterization and validation of a novel physics-informed equivalent circuit model for silicon–graphite battery cells. Journal of Energy Storage. 100. 113437–113437. 1 indexed citations
3.
Rodrı́guez, S., et al.. (2024). A coupled electrothermal lithium-ion battery reduced-order model including heat generation due to solid diffusion. Applied Energy. 367. 123327–123327. 9 indexed citations
4.
Anseán, David, et al.. (2023). Modeling current-rate effects in lithium-ion batteries based on a distributed, multi-particle equivalent circuit model. Applied Energy. 353. 122141–122141. 8 indexed citations
5.
Anseán, David, et al.. (2023). A physics-based fractional-order equivalent circuit model for time and frequency-domain applications in lithium-ion batteries. Journal of Energy Storage. 64. 107150–107150. 19 indexed citations
6.
Valle, J.A. del, et al.. (2022). Strategies for Minimizing Charging Time in Commercial Nickel-Rich/Silicon-Graphite Lithium-Ion Batteries. Batteries. 8(12). 285–285. 1 indexed citations
7.
Sánchez, Luciano, et al.. (2022). Li-ion battery degradation modes diagnosis via Convolutional Neural Networks. Journal of Energy Storage. 55. 105558–105558. 56 indexed citations
8.
9.
Pereirinha, Paulo G., et al.. (2020). International and European Legislation and Standards for Battery Electric Buses. 1–6. 5 indexed citations
10.
Anseán, David, et al.. (2019). Lithium-Ion Battery Degradation Indicators Via Incremental Capacity Analysis. IEEE Transactions on Industry Applications. 55(3). 2992–3002. 168 indexed citations
11.
Valle, J.A. del, et al.. (2019). Sistemas de almacenamiento masivo de energía con baterías (BESS): Estado actual y tendencias de futuro. 1 indexed citations
12.
Sánchez, Luciano, et al.. (2017). A Model-Based Virtual Sensor for Condition Monitoring of Li-Ion Batteries in Cyber-Physical Vehicle Systems. Journal of Sensors. 2017. 1–12. 8 indexed citations
13.
Anseán, David, Matthieu Dubarry, Arnaud Devie, et al.. (2017). Operando lithium plating quantification and early detection of a commercial LiFePO4 cell cycled under dynamic driving schedule. Journal of Power Sources. 356. 36–46. 207 indexed citations
14.
Pulido, Yoana Fernández, Cecilio Blanco, David Anseán, et al.. (2017). Effect of aging on C/LFP battery impedance: Operating conditions to which the impedance has minimal variations. Consultation of the Doctoral Thesis Database (TESEO) (Ministerio de Educación, Cultura y Deporte). 154. 1–5. 2 indexed citations
15.
Fernandez, V., et al.. (2016). Thermal Analysis of a Fast Charging Technique for a High Power Lithium-Ion Cell. Batteries. 2(4). 32–32. 17 indexed citations
16.
Anseán, David, M. González, V. Fernandez, et al.. (2014). Evaluation of <inline-formula> <tex-math notation="TeX">$\hbox{LiFePO}_{4}$</tex-math></inline-formula> Batteries for Electric Vehicle Applications. IEEE Transactions on Industry Applications. 51(2). 1855–1863. 61 indexed citations
17.
Anseán, David, et al.. (2013). Evaluation of LiFePO<inf>4</inf> batteries for Electric Vehicle applications. Consultation of the Doctoral Thesis Database (TESEO) (Ministerio de Educación, Cultura y Deporte). 1–8. 42 indexed citations
18.
Anseán, David, et al.. (2013). DC internal resistance during charge: Analysis and study on LiFePO<inf>4</inf> batteries. Consultation of the Doctoral Thesis Database (TESEO) (Ministerio de Educación, Cultura y Deporte). 1–11. 21 indexed citations
19.
Anseán, David, et al.. (2013). High power LiFePO4 cell evaluation: Fast charge, Depth of Discharge and Fast discharge dependency. World Electric Vehicle Journal. 6(3). 653–662. 7 indexed citations
20.
Anseán, David, Clotilde Druck Garcia, Marta Azócar, et al.. (2011). Growth of kidney-transplanted pediatric patients treated with sirolimus. Pediatric Nephrology. 26(6). 961–966. 32 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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