Mina Naguib

623 total citations
18 papers, 473 citations indexed

About

Mina Naguib is a scholar working on Automotive Engineering, Electrical and Electronic Engineering and Control and Systems Engineering. According to data from OpenAlex, Mina Naguib has authored 18 papers receiving a total of 473 indexed citations (citations by other indexed papers that have themselves been cited), including 15 papers in Automotive Engineering, 15 papers in Electrical and Electronic Engineering and 4 papers in Control and Systems Engineering. Recurrent topics in Mina Naguib's work include Advanced Battery Technologies Research (15 papers), Advancements in Battery Materials (9 papers) and Electric and Hybrid Vehicle Technologies (5 papers). Mina Naguib is often cited by papers focused on Advanced Battery Technologies Research (15 papers), Advancements in Battery Materials (9 papers) and Electric and Hybrid Vehicle Technologies (5 papers). Mina Naguib collaborates with scholars based in Canada, Egypt and United States. Mina Naguib's co-authors include Ali Emadi, Phillip J. Kollmeyer, Carlos Vidal, Pawel Malysz, Oliver Groß, Walid A. Omran, Hossam E. A. Talaat, Satyam Panchal, Marcello Canova and Awad S. Hanna and has published in prestigious journals such as IEEE Access, SAE technical papers on CD-ROM/SAE technical paper series and Energies.

In The Last Decade

Mina Naguib

18 papers receiving 457 citations

Peers

Mina Naguib

EEE

CSE

SRRQ

Walid Allafi United Kingdom

Jiaxi Qiang China

Deyang Huang China

Christian Campestrini Germany

Gaoqi Lian China

Xianghui Qiu China

Qiaohua Fang China

Xinyuan Fan China

Yishan Cai China

Walid Allafi United Kingdom

Mina Naguib

394 ×0.9

351 ×0.9

EEE

111 ×1.0

CSE

18 ×0.6

SRRQ

16 ×0.9

Citations per year, relative to Mina Naguib Mina Naguib (= 1×) peers Walid Allafi

Countries citing papers authored by Mina Naguib

Since Specialization

Citations

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

Fields of papers citing papers by Mina Naguib

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Mina Naguib

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

All Works

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18 of 18 papers shown

Naguib, Mina, et al.. (2025). Thermal fault detection of lithium-ion battery packs through an integrated physics and deep neural network based model. Communications Engineering. 4(1). 79–79. 4 indexed citations

Kollmeyer, Phillip J., et al.. (2023). Feedforward and NARX Neural Network Battery State of Charge Estimation with Robustness to Current Sensor Error. 1–6. 5 indexed citations

Naguib, Mina, Phillip J. Kollmeyer, & Ali Emadi. (2023). State of Charge Estimation of Lithium-Ion Batteries: Comparison of GRU, LSTM, and Temporal Convolutional Deep Neural Networks. 1–6. 6 indexed citations

Naguib, Mina, et al.. (2023). Robust Electro-Thermal Modeling of Lithium-Ion Batteries for Electrified Vehicles Applications. Energies. 16(16). 5887–5887. 2 indexed citations

Naguib, Mina, Phillip J. Kollmeyer, & Ali Emadi. (2022). Application of Deep Neural Networks for Lithium-Ion Battery Surface Temperature Estimation Under Driving and Fast Charge Conditions. IEEE Transactions on Transportation Electrification. 9(1). 1153–1165. 36 indexed citations

Kollmeyer, Phillip J., et al.. (2022). A Blind Modeling Tool for Standardized Evaluation of Battery State of Charge Estimation Algorithms. 243–248. 7 indexed citations

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

Kollmeyer, Phillip J., et al.. (2022). Battery Dual Extended Kalman Filter State of Charge and Health Estimation Strategy for Traction Applications. 975–980. 2 indexed citations

Naguib, Mina, et al.. (2022). Neural Network-Based Online Energy Management for Multi-Mode Power Split Hybrid Vehicles. 237–242. 4 indexed citations

10.

Naguib, Mina, Walid A. Omran, & Hossam E. A. Talaat. (2022). Performance Enhancement of Distribution Systems via Distribution Network Reconfiguration and Distributed Generator Allocation Considering Uncertain Environment. Journal of Modern Power Systems and Clean Energy. 10(3). 647–655. 29 indexed citations

11.

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

12.

Naguib, Mina, et al.. (2022). An Integrated Framework to Quantify the Impact of Competency Factors on Project Performance. Construction Research Congress 2022. 130. 863–873. 1 indexed citations

13.

Naguib, Mina, Phillip J. Kollmeyer, & Ali Emadi. (2021). Lithium-Ion Battery Pack Robust State of Charge Estimation, Cell Inconsistency, and Balancing: Review. IEEE Access. 9. 50570–50582. 145 indexed citations

14.

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

15.

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

16.

Naguib, Mina, Carlos Vidal, Phillip J. Kollmeyer, et al.. (2021). Comparative Study between Equivalent Circuit and Recurrent Neural Network Battery Voltage Models. SAE technical papers on CD-ROM/SAE technical paper series. 1. 10 indexed citations

17.

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

18.

Naguib, Mina, Walid A. Omran, & Hossam E. A. Talaat. (2017). Optimal reconfiguration and DG allocation in active distribution networks using a probabilistic approach. 1–6. 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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