Akhil Garg
Impact in
- Automotive Engineering top 0.1%
- Advanced Battery Technologies Research
- Additive Manufacturing and 3D Printing Technologies
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- Manufacturing Process and Optimization
Papers in
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- Advanced Battery Technologies Research 81
- Additive Manufacturing and 3D Printing Technologies 16
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- Manufacturing Process and Optimization 16
- Co-authors
- Liang GaoKang TaiXiongbin PengWei LiJasmine Siu Lee LamBiranchi PandaV. VijayaraghavanNengsheng Bao
In The Last Decade
Akhil Garg
210 papers receiving 5.8k citations
Hit Papers
Peers
Comparison fields: 5 of 151
- Automotive Engineering 2.8k
- Industrial and Manufacturing Engineering 584
- Mechanical Engineering 1.7k
- Electrical and Electronic Engineering 2.6k
- Civil and Structural Engineering 671
Countries citing papers authored by Akhil Garg
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
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-authors
The 25 scholars most cited alongside Akhil Garg, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2025 | 3 | |
| 2 | 2025 | 0 | |
| 3 | 2025 | 0 | |
| 4 | 2025 | 0 | |
| 5 | 2024 | 3 | |
| 6 | 2024 | 7 | |
| 7 | 2024 | 2 | |
| 8 | 2024 | 0 | |
| 9 | 2023 | 68 | |
| 10 | 2023 | 12 | |
| 11 | 2022 | 23 | |
| 12 | 2021 | 5 | |
| 13 | 2020 | 5 | |
| 14 | 2020 | 10 | |
| 15 | 2019 | 64 | |
| 16 | 2019 | 35 | |
| 17 | 2019 | 6 | |
| 18 | 2018 | 14 | |
| 19 | 2018 | 14 | |
| 20 | Comparison of regression analysis, Artificial Neural Network and genetic programming in Handling the multicollinearity problem | 2012 | 35 |
About Akhil Garg
Akhil Garg is a scholar working on Automotive Engineering, Industrial and Manufacturing Engineering, Electrical and Electronic Engineering, Mechanical Engineering and Environmental Engineering, having authored 218 papers that have together received 6.0k indexed citations. Recurring topics across this work include Advanced Battery Technologies Research (81 papers), Advancements in Battery Materials (52 papers), Electric Vehicles and Infrastructure (28 papers), Advanced Machining and Optimization Techniques (20 papers), Fuel Cells and Related Materials (17 papers), Manufacturing Process and Optimization (16 papers), Additive Manufacturing and 3D Printing Technologies (16 papers) and Additive Manufacturing Materials and Processes (15 papers). The work is most often cited by research in Automotive Engineering (2.8k citations), Industrial and Manufacturing Engineering (584 citations), Mechanical Engineering (1.7k citations), Electrical and Electronic Engineering (2.6k citations) and Civil and Structural Engineering (671 citations). Akhil Garg has collaborated with scholars based in China, India and Singapore. Frequent co-authors include Liang Gao, Kang Tai, Xiongbin Peng, Wei Li, Jasmine Siu Lee Lam, Biranchi Panda, V. Vijayaraghavan, Nengsheng Bao, Ankit Garg and Mi Xiao. Their work appears in journals such as Measurement, International Journal of Energy Research, Journal of Cleaner Production, The International Journal of Advanced Manufacturing Technology and Journal of Energy Storage.
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.