Farshid Naseri

2.1k total citations
40 papers, 1.5k citations indexed

About

Farshid Naseri is a scholar working on Electrical and Electronic Engineering, Automotive Engineering and Control and Systems Engineering. According to data from OpenAlex, Farshid Naseri has authored 40 papers receiving a total of 1.5k indexed citations (citations by other indexed papers that have themselves been cited), including 29 papers in Electrical and Electronic Engineering, 18 papers in Automotive Engineering and 16 papers in Control and Systems Engineering. Recurrent topics in Farshid Naseri's work include Advanced Battery Technologies Research (17 papers), Electric and Hybrid Vehicle Technologies (9 papers) and Electric Vehicles and Infrastructure (6 papers). Farshid Naseri is often cited by papers focused on Advanced Battery Technologies Research (17 papers), Electric and Hybrid Vehicle Technologies (9 papers) and Electric Vehicles and Infrastructure (6 papers). Farshid Naseri collaborates with scholars based in Iran, Denmark and Germany. Farshid Naseri's co-authors include Ebrahim Farjah, Teymoor Ghanbari, Erik Schaltz, Zahra Kazemi, Alejandro Gismero, Daniel‐Ioan Stroe, Mohammad Mehdi Arefi, C. Barbu, Ali Akbar Safavi and Jean‐Luc Schanen and has published in prestigious journals such as Renewable and Sustainable Energy Reviews, IEEE Transactions on Industrial Electronics and IEEE Transactions on Power Electronics.

In The Last Decade

Farshid Naseri

39 papers receiving 1.4k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Farshid Naseri Iran 19 1.0k 771 490 270 106 40 1.5k
Shaheer Ansari Malaysia 22 1.0k 1.0× 888 1.2× 286 0.6× 153 0.6× 64 0.6× 52 1.5k
Sheldon S. Williamson Canada 24 2.2k 2.1× 1.4k 1.8× 573 1.2× 144 0.5× 209 2.0× 131 2.5k
Youngki Kim United States 20 1.1k 1.1× 1.2k 1.6× 272 0.6× 55 0.2× 96 0.9× 95 1.5k
Erik Schaltz Denmark 31 2.9k 2.7× 2.4k 3.1× 766 1.6× 328 1.2× 150 1.4× 123 3.5k
Yan Ma China 21 1.1k 1.0× 1.2k 1.5× 358 0.7× 56 0.2× 132 1.2× 96 1.6k
Yuqing Yang China 11 843 0.8× 327 0.4× 404 0.8× 93 0.3× 62 0.6× 43 1.2k
E. Tironi Italy 23 1.4k 1.4× 414 0.5× 936 1.9× 254 0.9× 79 0.7× 108 1.7k
Abbas Fotouhi United Kingdom 23 1.7k 1.6× 1.8k 2.4× 331 0.7× 69 0.3× 72 0.7× 66 2.2k
Shuo Zhang China 22 1.2k 1.2× 472 0.6× 440 0.9× 90 0.3× 142 1.3× 104 1.5k
Paul W. C. Northrop United States 16 1.6k 1.5× 1.6k 2.0× 377 0.8× 104 0.4× 144 1.4× 28 1.9k

Countries citing papers authored by Farshid Naseri

Since Specialization
Citations

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

Fields of papers citing papers by Farshid Naseri

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Farshid Naseri

This figure shows the co-authorship network connecting the top 25 collaborators of Farshid Naseri. A scholar is included among the top collaborators of Farshid Naseri 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 Farshid Naseri. Farshid Naseri 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.
Naseri, Farshid, Peyman Setoodeh, & Erik Schaltz. (2024). Online Tuning of Extended Kalman Filter Using Reinforcement Learning for Improved Battery State-of-Charge Estimation. VBN Forskningsportal (Aalborg Universitet). 1–6. 2 indexed citations
2.
Tashakor, Nima, et al.. (2024). Module Voltage and Resistance Estimation of Battery-Integrated Cascaded Converters Through Output Sensors Only for EV Applications. IEEE Transactions on Transportation Electrification. 10(4). 7984–7995. 2 indexed citations
3.
4.
Naseri, Farshid, Santiago Gil, C. Barbu, et al.. (2023). Digital twin of electric vehicle battery systems: Comprehensive review of the use cases, requirements, and platforms. Renewable and Sustainable Energy Reviews. 179. 113280–113280. 99 indexed citations
5.
6.
Naseri, Farshid, Zahra Kazemi, Peter Gorm Larsen, Mohammad Mehdi Arefi, & Erik Schaltz. (2023). Cyber-Physical Cloud Battery Management Systems: Review of Security Aspects. Batteries. 9(7). 382–382. 27 indexed citations
7.
8.
Kazemi, Zahra, Farshid Naseri, Mehran Yazdi, & Ebrahim Farjah. (2021). An EKF‐SVM machine learning‐based approach for fault detection and classification in three‐phase power transformers. IET Science Measurement & Technology. 15(2). 130–142. 21 indexed citations
9.
Tashakor, Nima, et al.. (2021). Low-Cost Parameter Estimation Approach for Modular Converters and Reconfigurable Battery Systems Using Dual Kalman Filter. IEEE Transactions on Power Electronics. 37(6). 6323–6334. 18 indexed citations
10.
Naseri, Farshid & Ebrahim Farjah. (2021). Estimation of Supercapacitor State-of-Power in Vehicular Applications. 1–5. 1 indexed citations
11.
Naseri, Farshid, et al.. (2021). State-of-Charge Estimation of NMC-based Li-ion Battery Based on Continuous Transfer Function Model and Extended Kalman Filter. VBN Forskningsportal (Aalborg Universitet). 10. 1–5. 3 indexed citations
12.
Naseri, Farshid, Ebrahim Farjah, Erik Schaltz, Kaiyuan Lu, & Nima Tashakor. (2020). Predictive Control of Low-Cost Three-Phase Four-Switch Inverter-Fed Drives for Brushless DC Motor Applications. IEEE Transactions on Circuits and Systems I Regular Papers. 68(3). 1308–1318. 40 indexed citations
13.
Kazemi, Zahra, Ali Akbar Safavi, Farshid Naseri, Leon Urbas, & Peyman Setoodeh. (2020). A Secure Hybrid Dynamic-State Estimation Approach for Power Systems Under False Data Injection Attacks. IEEE Transactions on Industrial Informatics. 16(12). 7275–7286. 74 indexed citations
14.
Naseri, Farshid, et al.. (2019). Application of an Efficient Rogowski Coil Sensor for Online Estimation of Turn-Off Energy Loss of Power Diodes. IEEE Sensors Journal. 19(16). 6675–6683. 13 indexed citations
15.
Kazemi, Zahra, et al.. (2018). A practical framework for implementing multivariate monitoring techniques into distributed control system. Control Engineering Practice. 82. 118–129. 20 indexed citations
16.
Ghanbari, Teymoor, Ebrahim Farjah, & Farshid Naseri. (2018). Power quality improvement of radial feeders using an efficient method. Electric Power Systems Research. 163. 140–153. 34 indexed citations
17.
Naseri, Farshid, Ebrahim Farjah, & Teymoor Ghanbari. (2016). An Efficient Regenerative Braking System Based on Battery/Supercapacitor for Electric, Hybrid and Plug-In Hybrid Electric Vehicles with BLDC Motor. IEEE Transactions on Vehicular Technology. 1–1. 300 indexed citations
18.
19.
Nejadkoorki, Farhad, et al.. (2010). Analysing Street Traffic Noise Pollution In The City Of Yazd. TSpace (University of Toronto). 7(1). 53–62. 10 indexed citations
20.
Naseri, Farshid, et al.. (2008). COMPARISON OF INDOOR AIR QUALITY IN RESTAURANT KITCHENS IN TEHRAN WITH AMBIENT AIR QUALITY. TSpace. 5(1). 59–64. 9 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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