Ali Jokar

813 total citations · 1 hit paper
9 papers, 676 citations indexed

About

Ali Jokar is a scholar working on Automotive Engineering, Electrical and Electronic Engineering and Control and Systems Engineering. According to data from OpenAlex, Ali Jokar has authored 9 papers receiving a total of 676 indexed citations (citations by other indexed papers that have themselves been cited), including 7 papers in Automotive Engineering, 6 papers in Electrical and Electronic Engineering and 1 paper in Control and Systems Engineering. Recurrent topics in Ali Jokar's work include Advanced Battery Technologies Research (7 papers), Advancements in Battery Materials (6 papers) and Advanced Battery Materials and Technologies (6 papers). Ali Jokar is often cited by papers focused on Advanced Battery Technologies Research (7 papers), Advancements in Battery Materials (6 papers) and Advanced Battery Materials and Technologies (6 papers). Ali Jokar collaborates with scholars based in Canada and Iran. Ali Jokar's co-authors include Martin Désilets, Marcel Lacroix, Barzin Rajabloo, Mohammad Saber, Mohammad Behshad Shafii, Karim Zaghib, Mohammad B. Ghofrani and Gessie Brisard and has published in prestigious journals such as Journal of Power Sources, Journal of The Electrochemical Society and Journal of Energy Storage.

In The Last Decade

Ali Jokar

9 papers receiving 645 citations

Hit Papers

Review of simplified Pseudo-two-Dimensional models of lit... 2016 2026 2019 2022 2016 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. Review of simplified Pseudo-two-Dimensional models of lithium-ion batteries
    2016 457 citations Ali Jokar, Barzin Rajabloo et al. Journal of Power Sources profile →

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Ali Jokar Canada 8 606 580 64 56 20 9 676
Stephan Kosch Germany 10 663 1.1× 658 1.1× 58 0.9× 27 0.5× 20 1.0× 12 715
Seham Shahid Canada 10 534 0.9× 456 0.8× 17 0.3× 89 1.6× 9 0.5× 15 578
Philippe Gyan France 12 762 1.3× 717 1.2× 69 1.1× 75 1.3× 47 2.4× 19 840
Jinlong Bai China 13 557 0.9× 471 0.8× 26 0.4× 33 0.6× 28 1.4× 26 660
Hans‐Rolf Tränkler Germany 6 328 0.5× 338 0.6× 53 0.8× 32 0.6× 18 0.9× 15 409
Fiorentino Valerio Conte Austria 14 784 1.3× 740 1.3× 124 1.9× 52 0.9× 27 1.4× 28 886
Tangqin Wu China 6 548 0.9× 502 0.9× 57 0.9× 22 0.4× 52 2.6× 7 593
Jeffrey R. Belt United States 11 874 1.4× 882 1.5× 49 0.8× 56 1.0× 39 1.9× 17 940
Alexander Fill Germany 13 653 1.1× 614 1.1× 35 0.5× 38 0.7× 30 1.5× 50 700
Matthias Kuipers Netherlands 8 325 0.5× 308 0.5× 53 0.8× 32 0.6× 15 0.8× 20 389

Countries citing papers authored by Ali Jokar

Since Specialization
Citations

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

Fields of papers citing papers by Ali Jokar

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Ali Jokar

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

All Works

9 of 9 papers shown
1.
Désilets, Martin, et al.. (2022). Investigation of the P2D and of the modified single-particle models for predicting the nonlinear behavior of Li-ion batteries. Journal of Energy Storage. 52. 104909–104909. 46 indexed citations
2.
Rajabloo, Barzin, et al.. (2018). Lithium iron phosphate electrode semi-empirical performance model. Journal of Applied Electrochemistry. 48(6). 663–674. 7 indexed citations
3.
Jokar, Ali, Martin Désilets, Marcel Lacroix, & Karim Zaghib. (2018). Mesoscopic modeling and parameter estimation of a lithium-ion battery based on LiFePO4/graphite. Journal of Power Sources. 379. 84–90. 17 indexed citations
4.
Jokar, Ali, Barzin Rajabloo, Martin Désilets, & Marcel Lacroix. (2017). An On-line Electrochemical Parameter Estimation Study of Lithium-Ion Batteries Using Neural Networks. ECS Transactions. 75(20). 73–87. 8 indexed citations
5.
Jokar, Ali, Barzin Rajabloo, Martin Désilets, & Marcel Lacroix. (2016). Review of simplified Pseudo-two-Dimensional models of lithium-ion batteries. Journal of Power Sources. 327. 44–55. 457 indexed citations breakdown →
6.
Rajabloo, Barzin, Ali Jokar, Martin Désilets, & Marcel Lacroix. (2016). An Inverse Method for Estimating the Electrochemical Parameters of Lithium-Ion Batteries. Journal of The Electrochemical Society. 164(2). A99–A105. 34 indexed citations
7.
Jokar, Ali, Barzin Rajabloo, Martin Désilets, & Marcel Lacroix. (2016). An Inverse Method for Estimating the Electrochemical Parameters of Lithium-Ion Batteries. Journal of The Electrochemical Society. 163(14). A2876–A2886. 57 indexed citations
8.
Jokar, Ali, et al.. (2016). Simulation and optimization of a pulsating heat pipe using artificial neural network and genetic algorithm. Heat and Mass Transfer. 52(11). 2437–2445. 41 indexed citations
9.
Jokar, Ali, et al.. (2015). Active control of surge in centrifugal compressors using a brain emotional learning-based intelligent controller. Proceedings of the Institution of Mechanical Engineers Part C Journal of Mechanical Engineering Science. 230(16). 2828–2839. 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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