Aditya Lele

703 citations
19 papers · 486 indexed · 1 hit paper · h-index 10
Topics
Advanced Combustion Engine Technologies (6 papers)Machine Learning in Materials Science (4 papers)Heat transfer and supercritical fluids (4 papers)

In The Last Decade

Aditya Lele

18 papers receiving 479 citations

Hit Papers

Depolymerization of plastics by means of electrified spat...2023202620242025202350100150

Peers

Aditya Lele
Comparison fields: 5 of 58
  • Materials Chemistry 161
  • Biomedical Engineering 128
  • Fluid Flow and Transfer Processes 113
  • Computational Mechanics 81
  • Pollution 76
Replace Seon Ah Roh with:
Seon Ah Roh South Korea
Michael D. Kass United States
Ning Dong China
Satoshi Umemoto Japan
Carlo Borgianni Italy
Boyang Xu China
Seyed Mohammad Reza Razavi Iran
I. Aarna United States
A. Koch France
Fenglei Qi China
Aditya Lele relative to Seon Ah Roh South Korea Seon Ah Roh's profile →
Citations per field
00.5×3.5×
Seon Ah Roh · 1×
Citations per year

Countries citing papers authored by Aditya Lele

Since Specialization
Citations

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

Fields of papers citing papers by Aditya Lele

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Aditya Lele

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

All Works

19 of 19 papers shown
#WorkIndexed citations
1 1
2 3
3 1
4 8
5 0
6 1
7 5
8 10
9
Depolymerization of plastics by means of electrified spatiotemporal heatingbreakdown →
197
10 16
11 35
12 3
13 18
14 12
15 63
16 53
17 4
18 30
19 26

About Aditya Lele

Aditya Lele is a scholar working on Fluid Flow and Transfer Processes, Catalysis and Computational Mechanics, having authored 19 papers that have together received 486 indexed citations. Recurring topics across this work include Advanced Combustion Engine Technologies (6 papers), Machine Learning in Materials Science (4 papers) and Heat transfer and supercritical fluids (4 papers). The work is most often cited by research in Fluid Flow and Transfer Processes (113 citations), Industrial and Manufacturing Engineering (76 citations) and Pollution (76 citations). Aditya Lele has collaborated with scholars based in United States, Germany and United Kingdom. Frequent co-authors include Adri C. T. van Duin, Hyunguk Kwon, Yuan Xuan, Yiguang Ju, Karthik Ganeshan, Ying Lin, Andrea Giusti, Mingjin Cui, Miao Guo and Qi Dong. Their work appears in journals such as Nature, The Journal of Chemical Physics and The Journal of Physical Chemistry C.

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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