Akhil Garg

482 total citations
16 papers, 385 citations indexed

About

Akhil Garg is a scholar working on Electrical and Electronic Engineering, Automotive Engineering and Mechanical Engineering. According to data from OpenAlex, Akhil Garg has authored 16 papers receiving a total of 385 indexed citations (citations by other indexed papers that have themselves been cited), including 14 papers in Electrical and Electronic Engineering, 11 papers in Automotive Engineering and 2 papers in Mechanical Engineering. Recurrent topics in Akhil Garg's work include Advancements in Battery Materials (12 papers), Advanced Battery Technologies Research (11 papers) and Advanced Battery Materials and Technologies (9 papers). Akhil Garg is often cited by papers focused on Advancements in Battery Materials (12 papers), Advanced Battery Technologies Research (11 papers) and Advanced Battery Materials and Technologies (9 papers). Akhil Garg collaborates with scholars based in China, India and Vietnam. Akhil Garg's co-authors include Surinder Singh, Xujian Cui, N. Rajasekar, Bijaya Ketan Panigrahi, J. Prasanth Ram, Amer M. Y. M. Ghias, Dhanup S. Pillai, Mỹ Loan Phụng Lê, Liang Gao and Van Man Tran and has published in prestigious journals such as Journal of The Electrochemical Society, Electrochimica Acta and Solar Energy.

In The Last Decade

Akhil Garg

16 papers receiving 369 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Akhil Garg China 9 324 198 127 42 42 16 385
Jean-Christophe Olivier France 14 462 1.4× 196 1.0× 141 1.1× 26 0.6× 63 1.5× 45 594
Feikun Zhou China 8 229 0.7× 162 0.8× 89 0.7× 22 0.5× 15 0.4× 18 350
Xiang Meng China 10 516 1.6× 430 2.2× 75 0.6× 21 0.5× 22 0.5× 14 611
G. Sree Lakshmi India 9 268 0.8× 145 0.7× 54 0.4× 22 0.5× 16 0.4× 48 339
Gabriele Zini Italy 11 168 0.5× 101 0.5× 118 0.9× 27 0.6× 18 0.4× 11 336
Woonki Na United States 9 288 0.9× 189 1.0× 116 0.9× 34 0.8× 8 0.2× 51 384
Zuchang Gao Singapore 11 328 1.0× 232 1.2× 97 0.8× 12 0.3× 23 0.5× 16 408
Kevin Lynn United Kingdom 9 363 1.1× 100 0.5× 137 1.1× 29 0.7× 10 0.2× 25 486
Jian Zuo France 8 306 0.9× 180 0.9× 119 0.9× 23 0.5× 11 0.3× 21 372
Syed Muhammad Ahsan Pakistan 10 268 0.8× 113 0.6× 98 0.8× 36 0.9× 16 0.4× 20 377

Countries citing papers authored by Akhil Garg

Since Specialization
Citations

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

Fields of papers citing papers by Akhil Garg

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Akhil Garg

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

All Works

16 of 16 papers shown
1.
2.
Garg, Akhil, et al.. (2023). Reactive Force Field (ReaxFF) and Universal Force Field Molecular Dynamic Simulation of Solid Electrolyte Interphase Components in Lithium-Ion Batteries. Journal of Electrochemical Energy Conversion and Storage. 21(2). 2 indexed citations
3.
Nguyen, Van Hoang, et al.. (2021). High‐voltage performance of P2‐Na x Mn 0 . 5 Co 0 . 5 O 2 layered cathode material. International Journal of Energy Research. 46(4). 5119–5133. 4 indexed citations
4.
Tran, Thanh‐Nhan, et al.. (2021). Machine learning technique-based data-driven model of exploring effects of electrolyte additives on LiNi0.6Mn0.2Co0.2O2/graphite cell. Journal of Energy Storage. 42. 103012–103012. 8 indexed citations
5.
Huynh, Le Thanh Nguyen, An Phan, Trang Nguyen, et al.. (2021). Effect of 3D Metal on Electrochemical Properties of Sodium Intercalation Cathode P2-NaxMe1/3Mn2/3O2 (M = Co, Ni, or Fe). Journal of Chemistry. 2021. 1–9. 3 indexed citations
6.
Pareek, Kapil, et al.. (2021). Single point diagnosis of short circuit abuse condition in lithium‐ion battery through impedance data. International Journal of Energy Research. 45(12). 18212–18221. 8 indexed citations
7.
Garg, Akhil, Surinder Singh, Wei Li, et al.. (2020). Illustration of experimental, machine learning, and characterization methods for study of performance of Li‐ion batteries. International Journal of Energy Research. 44(12). 9513–9526. 16 indexed citations
8.
Garg, Akhil, et al.. (2020). Deep learning networks for capacity estimation for monitoring SOH of Li‐ion batteries for electric vehicles. International Journal of Energy Research. 45(2). 3113–3128. 111 indexed citations
9.
Nguyen, Van Hoang, et al.. (2020). Strategy for Long Cycling Performance of Graphite/LiNi 1/3 Mn 1/3 Co 1/3 O 2 Full-Cell Through High-Efficiency Slurry Preparation. Journal of The Electrochemical Society. 167(16). 160533–160533. 3 indexed citations
10.
Tan, Chee Pin, et al.. (2020). Multi-objective optimisation framework of genetic programming for investigation of bullwhip effect and net stock amplification for three-stage supply chain systems. International Journal of Bio-Inspired Computation. 16(4). 241–241. 1 indexed citations
11.
Trần, Mẫn Văn, et al.. (2020). Machine learning approach in exploring the electrolyte additives effect on cycling performance of LiNi 0 . 5 Mn 1 . 5 O 4 cathode and graphite anode‐based lithium‐ion cell . International Journal of Energy Research. 45(3). 4133–4144. 12 indexed citations
12.
13.
Singh, Surinder, Ankit Goyal, Xiaodong Niu, et al.. (2019). Electrochemical Performance Enhancement of Sodium-Ion Batteries Fabricated With NaNi1/3Mn1/3Co1/3O2 Cathodes Using Support Vector Regression-Simplex Algorithm Approach. Journal of Electrochemical Energy Conversion and Storage. 17(1). 23 indexed citations
14.
Goyal, Ankit, Xiaodong Niu, Le Thanh Nguyen Huynh, et al.. (2019). Precision Manufacturing of NaNi1/3Mn1/3Co1/3O2 Cathodes: Study of Structure Evolution and Performance at Varied Calcination Temperatures. Journal of Electronic Materials. 48(8). 5301–5309. 12 indexed citations
15.
16.
Jain, Mahaveer K., et al.. (2019). Multivariate optimization for maximum capacity of lead acid battery through Taguchi method. Measurement. 148. 106904–106904. 16 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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