Carlos Vidal

1.1k total citations · 1 hit paper
23 papers, 841 citations indexed

About

Carlos Vidal is a scholar working on Automotive Engineering, Electrical and Electronic Engineering and Control and Systems Engineering. According to data from OpenAlex, Carlos Vidal has authored 23 papers receiving a total of 841 indexed citations (citations by other indexed papers that have themselves been cited), including 14 papers in Automotive Engineering, 13 papers in Electrical and Electronic Engineering and 5 papers in Control and Systems Engineering. Recurrent topics in Carlos Vidal's work include Advanced Battery Technologies Research (13 papers), Advancements in Battery Materials (6 papers) and Electric and Hybrid Vehicle Technologies (5 papers). Carlos Vidal is often cited by papers focused on Advanced Battery Technologies Research (13 papers), Advancements in Battery Materials (6 papers) and Electric and Hybrid Vehicle Technologies (5 papers). Carlos Vidal collaborates with scholars based in Canada, Spain and United States. Carlos Vidal's co-authors include Ali Emadi, Phillip J. Kollmeyer, Pawel Malysz, Oliver Groß, Mina Naguib, Ran Gu, Ephrem Chemali, Ryan Ahmed, Marcello Canova and Satyam Panchal and has published in prestigious journals such as IEEE Access, IEEE Transactions on Vehicular Technology and SAE technical papers on CD-ROM/SAE technical paper series.

In The Last Decade

Carlos Vidal

21 papers receiving 796 citations

Hit Papers

Machine Learning Applied to Electrified Vehicle Battery S... 2020 2026 2022 2024 2020 100 200 300
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.

  1. Machine Learning Applied to Electrified Vehicle Battery State of Charge and State of Health Estimation: State-of-the-Art
    2020 326 citations Carlos Vidal, Pawel Malysz et al. IEEE Access profile →

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Carlos Vidal Canada 11 749 660 179 55 25 23 841
Jungsoo Kim South Korea 13 514 0.7× 479 0.7× 144 0.8× 66 1.2× 23 0.9× 18 628
Tahia Fahrin Karim Bangladesh 7 641 0.9× 618 0.9× 154 0.9× 47 0.9× 34 1.4× 9 775
Jinlei Sun China 18 661 0.9× 619 0.9× 183 1.0× 62 1.1× 23 0.9× 62 838
Dominik Jöst Germany 11 1.0k 1.4× 1.0k 1.5× 228 1.3× 103 1.9× 20 0.8× 17 1.2k
Xiaowei Zhao China 12 646 0.9× 553 0.8× 190 1.1× 60 1.1× 14 0.6× 27 769
B.P. Divakar Hong Kong 9 551 0.7× 665 1.0× 212 1.2× 27 0.5× 13 0.5× 35 791
D. N. T. How Malaysia 9 1.2k 1.5× 994 1.5× 361 2.0× 78 1.4× 40 1.6× 11 1.2k
Cecilio Blanco Viejo Spain 8 478 0.6× 470 0.7× 157 0.9× 34 0.6× 10 0.4× 13 596
Mattin Lucu Spain 7 639 0.9× 590 0.9× 105 0.6× 120 2.2× 34 1.4× 8 740

Countries citing papers authored by Carlos Vidal

Since Specialization
Citations

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

Fields of papers citing papers by Carlos Vidal

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Carlos Vidal

This figure shows the co-authorship network connecting the top 25 collaborators of Carlos Vidal. A scholar is included among the top collaborators of Carlos Vidal 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 Carlos Vidal. Carlos Vidal 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.
Scalcon, Filipe Pinarello, Ryan Ahmed, Babak Nahid‐Mobarakeh, et al.. (2024). AI-Powered Video Monitoring: Assessing the NVIDIA Jetson Orin Devices for Edge Computing Applications. 1–6. 7 indexed citations
2.
Habibi, Saeid, et al.. (2024). A Camera-LiDAR Fusion Framework for Traffic Monitoring. 1–6.
3.
4.
Ahmed, Ryan, et al.. (2024). Enhanced Vehicle Movement Counting at Intersections via a Self-Learning Fisheye Camera System. IEEE Access. 12. 77947–77958. 1 indexed citations
5.
Vidal, Carlos, et al.. (2023). Electric Vehicle's Range and State of Charge Estimations using AutoML. 1–6. 4 indexed citations
6.
7.
Naguib, Mina, et al.. (2022). Microprocessor Execution Time and Memory Use for Battery State of Charge Estimation Algorithms. SAE technical papers on CD-ROM/SAE technical paper series. 1. 6 indexed citations
8.
Vidal, Carlos, et al.. (2022). Comparing Traditional and Machine Learning Models for Battery SOC Calculation. 125–130. 6 indexed citations
9.
Emadi, Ali, Oliver Groß, Carlos Vidal, et al.. (2022). A Comparative Study between Physics, Electrical and Data Driven Lithium-Ion Battery Voltage Modeling Approaches. SAE technical papers on CD-ROM/SAE technical paper series. 1. 61 indexed citations
10.
Vidal, Carlos, Pawel Malysz, Mina Naguib, Ali Emadi, & Phillip J. Kollmeyer. (2021). Estimating battery state of charge using recurrent and non-recurrent neural networks. Journal of Energy Storage. 47. 103660–103660. 52 indexed citations
11.
Naguib, Mina, Phillip J. Kollmeyer, Carlos Vidal, & Ali Emadi. (2021). Accurate Surface Temperature Estimation of Lithium-Ion Batteries Using Feedforward and Recurrent Artificial Neural Networks. 52–57. 26 indexed citations
12.
Vidal, Carlos, Pawel Malysz, Phillip J. Kollmeyer, & Ali Emadi. (2020). Machine Learning Applied to Electrified Vehicle Battery State of Charge and State of Health Estimation: State-of-the-Art. IEEE Access. 8. 52796–52814. 326 indexed citations breakdown →
13.
Vidal, Carlos, Phillip J. Kollmeyer, Mina Naguib, et al.. (2020). Robust xEV Battery State-of-Charge Estimator Design Using a Feedforward Deep Neural Network. SAE International Journal of Advances and Current Practices in Mobility. 2(5). 2872–2880. 71 indexed citations
14.
Vidal, Carlos, Oliver Groß, Ran Gu, Phillip J. Kollmeyer, & Ali Emadi. (2019). xEV Li-Ion Battery Low-Temperature Effects—Review. IEEE Transactions on Vehicular Technology. 68(5). 4560–4572. 141 indexed citations
15.
16.
Vidal, Carlos, Phillip J. Kollmeyer, Ephrem Chemali, & Ali Emadi. (2019). Li-ion Battery State of Charge Estimation Using Long Short-Term Memory Recurrent Neural Network with Transfer Learning. 1–6. 56 indexed citations
17.
18.
Garbajosa, Juan, et al.. (2015). An Analysis of Techniques and Methods for Technical Debt Management: A Reflection from the Architecture Perspective. UPM Digital Archive (Technical University of Madrid). 22–28. 8 indexed citations
19.
Vidal, Carlos, et al.. (2015). A Model-Driven Engineering Process for Autonomic Sensor-Actuator Networks. International Journal of Distributed Sensor Networks. 11(3). 684892–684892. 10 indexed citations
20.
Pérez, Jennifer, Jessica Díaz, Carlos Vidal, Daniel Rodríguez, & Diego Fernández. (2014). Self-Balancing Distributed Energy in Power Grids: An Architecture Based on Autonomic Computing. 2398–2407. 5 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.

Explore authors with similar magnitude of impact

Breakdown of academic impact, for papers by Jungsoo Kim Breakdown of academic impact, for papers by Tahia Fahrin Karim Breakdown of academic impact, for papers by Jinlei Sun Breakdown of academic impact, for papers by Dominik Jöst Breakdown of academic impact, for papers by Xiaowei Zhao Breakdown of academic impact, for papers by B.P. Divakar Breakdown of academic impact, for papers by D. N. T. How Breakdown of academic impact, for papers by Cecilio Blanco Viejo Breakdown of academic impact, for papers by Mattin Lucu
Rankless by CCL
2026