Nima Lotfi

1.0k total citations · 1 hit paper
26 papers, 840 citations indexed

About

Nima Lotfi is a scholar working on Automotive Engineering, Electrical and Electronic Engineering and Mechanical Engineering. According to data from OpenAlex, Nima Lotfi has authored 26 papers receiving a total of 840 indexed citations (citations by other indexed papers that have themselves been cited), including 15 papers in Automotive Engineering, 14 papers in Electrical and Electronic Engineering and 7 papers in Mechanical Engineering. Recurrent topics in Nima Lotfi's work include Advanced Battery Technologies Research (14 papers), Advancements in Battery Materials (8 papers) and Electric and Hybrid Vehicle Technologies (6 papers). Nima Lotfi is often cited by papers focused on Advanced Battery Technologies Research (14 papers), Advancements in Battery Materials (8 papers) and Electric and Hybrid Vehicle Technologies (6 papers). Nima Lotfi collaborates with scholars based in United States and Iran. Nima Lotfi's co-authors include Robert G. Landers, Jie Li, J. Park, Junyong Park, Poria Fajri, Mehdi Ferdowsi, Jonghyun Park, Mehrzad Namvar, Bamdad Falahati and Pourya Shamsi and has published in prestigious journals such as Journal of The Electrochemical Society, Applied Energy and IEEE Transactions on Control Systems Technology.

In The Last Decade

Nima Lotfi

22 papers receiving 809 citations

Hit Papers

A single particle model with chemical/mechanical degradat... 2018 2026 2020 2023 2018 100 200 300 400
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. A single particle model with chemical/mechanical degradation physics for lithium ion battery State of Health (SOH) estimation
    2018 480 citations Jie Li, Nima Lotfi et al. Applied Energy profile →

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Nima Lotfi United States 10 786 706 163 81 23 26 840
Weiping Diao United States 13 699 0.9× 656 0.9× 118 0.7× 119 1.5× 32 1.4× 18 763
Wenkai Gao China 8 890 1.1× 760 1.1× 248 1.5× 108 1.3× 21 0.9× 9 931
Huiyong Chun South Korea 12 473 0.6× 429 0.6× 125 0.8× 56 0.7× 21 0.9× 16 522
Mohammad Charkhgard Iran 6 793 1.0× 718 1.0× 238 1.5× 41 0.5× 16 0.7× 7 837
Yao He China 13 729 0.9× 686 1.0× 194 1.2× 30 0.4× 18 0.8× 31 806
Ping Shen China 7 520 0.7× 493 0.7× 123 0.8× 45 0.6× 11 0.5× 10 575
Ashish Khandelwal India 9 389 0.5× 402 0.6× 124 0.8× 76 0.9× 31 1.3× 14 495
Mina Ma China 9 601 0.8× 508 0.7× 162 1.0× 80 1.0× 39 1.7× 10 652

Countries citing papers authored by Nima Lotfi

Since Specialization
Citations

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

Fields of papers citing papers by Nima Lotfi

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Nima Lotfi

This figure shows the co-authorship network connecting the top 25 collaborators of Nima Lotfi. A scholar is included among the top collaborators of Nima Lotfi 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 Nima Lotfi. Nima Lotfi 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.
Hamid, Nadira, et al.. (2025). Mapping the Stress: The Influence of Structured Learning Frequency and Clinical Support on Nursing Students’ Stress Levels. International Journal of Research and Innovation in Social Science. IX(IIIS). 2374–2381.
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Gennert, Michael A., et al.. (2020). Workshops for Building the Mechatronics and Robotics Engineering Education Community. 2020 ASEE Virtual Annual Conference Content Access Proceedings. 1 indexed citations
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Lotfi, Nima, et al.. (2020). WIP: Mechatronics and Robotics Engineering Definitions Among Students, Educators, and Industry Professionals. 2020 ASEE Virtual Annual Conference Content Access Proceedings.
7.
Lotfi, Nima, et al.. (2020). A Multidisciplinary Course and the Corresponding Laboratory Platform Development for Teaching the Fundamentals of Advanced Autonomous Vehicles. Papers on Engineering Education Repository (American Society for Engineering Education). 2 indexed citations
8.
Fajri, Poria, et al.. (2018). Influencing Factors in Low Speed Regenerative Braking Performance of Electric Vehicles. 494–499. 15 indexed citations
9.
Li, Jie, et al.. (2018). A single particle model with chemical/mechanical degradation physics for lithium ion battery State of Health (SOH) estimation. Applied Energy. 212. 1178–1190. 480 indexed citations breakdown →
10.
Fajri, Poria, Nima Lotfi, & Mehdi Ferdowsi. (2018). Development of a Series Hybrid Electric Vehicle Laboratory Test Bench with Hardware-in-the-Loop Capabilities. 2018 International Power Electronics Conference (IPEC-Niigata 2018 -ECCE Asia). 3223–3228. 3 indexed citations
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Fajri, Poria, et al.. (2017). Optimum low speed control of regenerative braking for electric vehicles. 875–879. 16 indexed citations
13.
Li, Jie, Nima Lotfi, Robert G. Landers, & Junyong Park. (2017). A Single Particle Model for Lithium-Ion Batteries with Electrolyte and Stress-Enhanced Diffusion Physics. Journal of The Electrochemical Society. 164(4). A874–A883. 116 indexed citations
14.
Lotfi, Nima, Jie Li, Robert G. Landers, & Junyong Park. (2017). Li-ion Battery State of Health Estimation based on an improved Single Particle model. 86–91. 35 indexed citations
15.
Li, Jie, Nima Lotfi, Robert G. Landers, & Jonghyun Park. (2017). A Single Particle-Based Battery Degradation Model Including Chemical and Mechanical Degradation Physics. ECS Transactions. 77(11). 1003–1014. 4 indexed citations
16.
Lotfi, Nima, Robert G. Landers, Jie Li, & Junyong Park. (2015). Electrochemical Model-Based Adaptive Estimation of Li-Ion Battery State of Charge. 3 indexed citations
17.
Fajri, Poria, Nima Lotfi, Mehdi Ferdowsi, & Robert G. Landers. (2013). Development of an Educational Small Scale Hybrid Electric Vehicle (HEV) Setup. 1–6. 7 indexed citations
18.
Lotfi, Nima & Robert G. Landers. (2012). Robust Nonlinear Observer for State of Charge Estimation of Li-Ion Batteries. 641–648. 8 indexed citations
19.
Lotfi, Nima & Mehrzad Namvar. (2010). Global adaptive estimation of joint velocities in robotic manipulators. IET Control Theory and Applications. 4(12). 2672–2681. 13 indexed citations
20.
Lotfi, Nima & Mehrzad Namvar. (2010). A globally convergent observer for velocity estimation in robotic manipulators with uncertain dynamics. 4645–4650. 1 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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