Ayush Jain

886 total citations
27 papers, 676 citations indexed

About

Ayush Jain is a scholar working on Electrical and Electronic Engineering, Computational Mechanics and Artificial Intelligence. According to data from OpenAlex, Ayush Jain has authored 27 papers receiving a total of 676 indexed citations (citations by other indexed papers that have themselves been cited), including 10 papers in Electrical and Electronic Engineering, 7 papers in Computational Mechanics and 6 papers in Artificial Intelligence. Recurrent topics in Ayush Jain's work include Advanced Combustion Engine Technologies (4 papers), Combustion and flame dynamics (4 papers) and Algorithms and Data Compression (4 papers). Ayush Jain is often cited by papers focused on Advanced Combustion Engine Technologies (4 papers), Combustion and flame dynamics (4 papers) and Algorithms and Data Compression (4 papers). Ayush Jain collaborates with scholars based in India, United States and China. Ayush Jain's co-authors include Akhilendra Pratap Singh, Avinash Kumar Ágarwal, Xiaolei Ren, Shirley Huang, Kostiantyn Turcheniuk, Haewon Lee, Ah‐Young Song, Gleb Yushin, Alexandre Magasinski and Yiran Xiao and has published in prestigious journals such as Nature Materials, Environmental Pollution and Applied Energy.

In The Last Decade

Ayush Jain

24 papers receiving 657 citations

Peers

Ayush Jain
Comparison fields: 5 of 61
  • Fluid Flow and Transfer Processes 318
  • Automotive Engineering 256
  • Electrical and Electronic Engineering 232
  • Biomedical Engineering 210
  • Materials Chemistry 169
Replace Alvaro Ortiz Pérez with:
Alvaro Ortiz Pérez Germany
Yuchao Yan China
Chia-Jui Chiang Taiwan
Guangyu Dong China
Yizhou Jiang China
Luciano Strafella Italy
Jiyuan Zhang China
Xiao Yu Canada
Mingjie Wang China
Alvaro Ortiz Pérez Germany View profile →
Citations per field, relative to Ayush Jain
Ayush Jain · 1×
Citations per year, relative to Ayush Jain
Ayush Jain · 1×

Countries citing papers authored by Ayush Jain

Since Specialization
Citations

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

Fields of papers citing papers by Ayush Jain

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Ayush Jain

This figure shows the co-authorship network connecting the top 25 collaborators of Ayush Jain. A scholar is included among the top collaborators of Ayush Jain 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 Ayush Jain. Ayush Jain 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
# Work Indexed citations
1 159
2 30
3 2
4 4
5 37
6
The Limits of Maxing, Ranking, and Preference Learning
2
7 2
8 37
9 139
10 0
11 136
12 0
13 1
14 2
15 10
16 2
17 0
18 4
19 6
20 41

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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