E. Prada

782 total citations
10 papers, 640 citations indexed

About

E. Prada is a scholar working on Automotive Engineering, Electrical and Electronic Engineering and Control and Systems Engineering. According to data from OpenAlex, E. Prada has authored 10 papers receiving a total of 640 indexed citations (citations by other indexed papers that have themselves been cited), including 10 papers in Automotive Engineering, 10 papers in Electrical and Electronic Engineering and 1 paper in Control and Systems Engineering. Recurrent topics in E. Prada's work include Advancements in Battery Materials (9 papers), Advanced Battery Technologies Research (9 papers) and Advanced Battery Materials and Technologies (6 papers). E. Prada is often cited by papers focused on Advancements in Battery Materials (9 papers), Advanced Battery Technologies Research (9 papers) and Advanced Battery Materials and Technologies (6 papers). E. Prada collaborates with scholars based in France and United States. E. Prada's co-authors include V. Sauvant-Moynot, Martin Petit, Y. Creff, Julien Bernard, D. Di Domenico, F. Huet, Pascal Higelin, Alain Charlet, Antonio Sciarretta and Domenico Di Domenico and has published in prestigious journals such as Journal of The Electrochemical Society, Applied Energy and Control Engineering Practice.

In The Last Decade

E. Prada

9 papers receiving 614 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
E. Prada France 8 611 593 55 21 16 10 640
Jorn M. Reniers United Kingdom 7 539 0.9× 534 0.9× 110 2.0× 37 1.8× 11 0.7× 12 604
Tarun Huria Italy 8 655 1.1× 573 1.0× 121 2.2× 12 0.6× 15 0.9× 9 692
Clemens Guenther Germany 7 445 0.7× 429 0.7× 67 1.2× 15 0.7× 13 0.8× 8 476
Thomas Nemeth Germany 9 398 0.7× 410 0.7× 57 1.0× 11 0.5× 10 0.6× 11 476
Mehrdad Mastali Canada 7 490 0.8× 469 0.8× 65 1.2× 12 0.6× 11 0.7× 9 514
Ari Hentunen Finland 7 339 0.6× 363 0.6× 101 1.8× 16 0.8× 9 0.6× 22 433
Barzin Rajabloo Canada 6 549 0.9× 527 0.9× 55 1.0× 19 0.9× 13 0.8× 6 576
A. R. Millner United States 7 284 0.5× 402 0.7× 82 1.5× 9 0.4× 12 0.8× 15 445
Nicolas Wolff Germany 11 379 0.6× 377 0.6× 48 0.9× 20 1.0× 13 0.8× 13 431
Izaro Laresgoiti Germany 6 400 0.7× 437 0.7× 44 0.8× 17 0.8× 13 0.8× 9 465

Countries citing papers authored by E. Prada

Since Specialization
Citations

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

Fields of papers citing papers by E. Prada

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of E. Prada

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

All Works

10 of 10 papers shown
1.
Petit, Martin, E. Prada, & V. Sauvant-Moynot. (2016). Development of an empirical aging model for Li-ion batteries and application to assess the impact of Vehicle-to-Grid strategies on battery lifetime. Applied Energy. 172. 398–407. 242 indexed citations
2.
Domenico, Domenico Di, E. Prada, & Y. Creff. (2013). An adaptive strategy for Li-ion battery internal state estimation. Control Engineering Practice. 21(12). 1851–1859. 7 indexed citations
3.
Creff, Y., et al.. (2013). A Review of Approaches for the Design of Li-Ion BMS Estimation Functions. Oil & Gas Science and Technology – Revue d’IFP Energies nouvelles. 68(1). 127–135. 19 indexed citations
4.
Prada, E., D. Di Domenico, Y. Creff, & V. Sauvant-Moynot. (2013). Towards advanced BMS algorithms development for (P)HEV and EV by use of a physics-based model of Li-ion battery systems. 1–12. 5 indexed citations
5.
6.
Prada, E., D. Di Domenico, Y. Creff, et al.. (2012). Simplified Electrochemical and Thermal Model of LiFePO4-Graphite Li-Ion Batteries for Fast Charge Applications. Journal of The Electrochemical Society. 159(9). A1508–A1519. 314 indexed citations
7.
Prada, E., et al.. (2011). An Adaptive Strategy for Li-ion Battery SOC Estimation. IFAC Proceedings Volumes. 44(1). 9721–9726. 16 indexed citations
8.
Prada, E., D. Di Domenico, Y. Creff, Julien Bernard, & V. Sauvant-Moynot. (2011). A coupled OD electrochemical ageing & electro-thermal Li-ion modeling approach for HEV/PHEV. 1–8. 15 indexed citations
9.
Prada, E., et al.. (2010). Sizing and fuel consumption evaluation methodology for hybrid light duty vehicles. World Electric Vehicle Journal. 4(2). 249–258. 12 indexed citations
10.
Prada, E., Julien Bernard, & V. Sauvant-Moynot. (2009). Ni-MH battery ageing: from comprehensive study to electrochemical modelling for state-of charge and state-of-health estimation. IFAC Proceedings Volumes. 42(26). 123–131.

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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