Sahil Arora
- Electrical and Electronic Engineering
- Biomedical Engineering
- Organic Chemistry
- Computer Vision and Pattern Recognition top 10%
- Molecular Biology
- Co-authors
- Zafar SaidChanghe LiA. AllouhiSajid FarooqL. Syam SundarSuresh P. VyasArvind JainAmit K. Goyal
- Topics
- Cyclization and Aryne Chemistry (5 papers)Biometric Identification and Security (3 papers)Chemical Reactions and Mechanisms (3 papers)
- Cited by
- Computer Vision and Pattern RecognitionHardware and ArchitectureRenewable Energy, Sustainability and the Environment
- Partner nations
- IndiaUnited StatesPortugal
In The Last Decade
Sahil Arora
20 papers receiving 474 citations
Peers
Comparison fields: 5 of 112
- Electrical and Electronic Engineering 89
- Biomedical Engineering 86
- Organic Chemistry 80
- Computer Vision and Pattern Recognition 77
- Molecular Biology 69
Countries citing papers authored by Sahil Arora
This map shows the geographic impact of Sahil Arora'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 Sahil Arora with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Sahil Arora more than expected).
Fields of papers citing papers by Sahil Arora
This network shows the impact of papers produced by Sahil Arora. 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 Sahil Arora. The network helps show where Sahil Arora may publish in the future.
Co-authorship network of co-authors of Sahil Arora
This figure shows the co-authorship network connecting the top 25 collaborators of Sahil Arora. A scholar is included among the top collaborators of Sahil Arora 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 Sahil Arora. Sahil Arora is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 0 | |
| 2 | 0 | |
| 3 | 2 | |
| 4 | 20 | |
| 5 | 0 | |
| 6 | 23 | |
| 7 | 146 | |
| 8 | 9 | |
| 9 | 98 | |
| 10 | 3 | |
| 11 | 1 | |
| 12 | 16 | |
| 13 | Neuro-Chikungunya: Acute Transverse Myelopathy Associated with Chikungunya Virus Infection. | 2 |
| 14 | 0 | |
| 15 | 10 | |
| 16 | 1 | |
| 17 | 16 | |
| 18 | Securing the Cloud with Encryption and Key Management | 1 |
| 19 | 3 | |
| 20 | 97 |
About Sahil Arora
Sahil Arora is a scholar working on Physical and Theoretical Chemistry, Signal Processing and Hardware and Architecture, having authored 24 papers that have together received 513 indexed citations. Recurring topics across this work include Cyclization and Aryne Chemistry (5 papers), Biometric Identification and Security (3 papers) and Chemical Reactions and Mechanisms (3 papers). The work is most often cited by research in Computer Vision and Pattern Recognition (77 citations), Hardware and Architecture (25 citations) and Renewable Energy, Sustainability and the Environment (56 citations). Sahil Arora has collaborated with scholars based in India, United States and Portugal. Frequent co-authors include Zafar Said, Changhe Li, A. Allouhi, Sajid Farooq, L. Syam Sundar, Suresh P. Vyas, Arvind Jain, Amit K. Goyal, Goutam Rath and Thomas R. Hoye. Their work appears in journals such as Chemical Communications, Diabetologia and Organic Letters.
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.