Sahil Arora

51 total papers · 761 total citations
24 papers, 509 citations indexed

About

Sahil Arora is a scholar working on Organic Chemistry, Computer Vision and Pattern Recognition and Signal Processing. According to data from OpenAlex, Sahil Arora has authored 24 papers receiving a total of 509 indexed citations (citations by other indexed papers that have themselves been cited), including 8 papers in Organic Chemistry, 4 papers in Computer Vision and Pattern Recognition and 4 papers in Signal Processing. Recurrent topics in Sahil Arora's work include Cyclization and Aryne Chemistry (5 papers), Biometric Identification and Security (3 papers) and Chemical Reactions and Mechanisms (3 papers). Sahil Arora is often cited by papers focused on Cyclization and Aryne Chemistry (5 papers), Biometric Identification and Security (3 papers) and Chemical Reactions and Mechanisms (3 papers). Sahil Arora collaborates with scholars based in India, United States and Brazil. Sahil Arora's co-authors include L. Syam Sundar, Zafar Said, Changhe Li, Sajid Farooq, A. Allouhi, Goutam Rath, Amit K. Goyal, Suresh P. Vyas, Arvind Jain and Kapil Mehta and has published in prestigious journals such as Chemical Communications, Diabetologia and Organic Letters.

In The Last Decade

Sahil Arora

20 papers receiving 471 citations

Author Peers

Peers are selected by citation overlap in the author's most active subfields. citations · hero ref

Author Last Decade Papers Cites
Sahil Arora 88 86 81 77 70 24 509
Yan Liu 104 1.2× 102 1.2× 42 0.5× 54 0.7× 78 1.1× 41 590
Bohao Li 176 2.0× 57 0.7× 27 0.3× 110 1.4× 65 0.9× 41 584
Yue Zhang 48 0.5× 87 1.0× 77 1.0× 23 0.3× 110 1.6× 49 570
Lin Liang 31 0.4× 75 0.9× 83 1.0× 63 0.8× 25 0.4× 28 599
Mingyu Gao 62 0.7× 59 0.7× 24 0.3× 49 0.6× 92 1.3× 32 475
S. Malathi 60 0.7× 114 1.3× 47 0.6× 93 1.2× 32 0.5× 58 560
Gai Li 154 1.8× 32 0.4× 27 0.3× 93 1.2× 27 0.4× 31 553
Dezheng Zhang 116 1.3× 124 1.4× 23 0.3× 36 0.5× 27 0.4× 57 575
Xiao Li 95 1.1× 82 1.0× 53 0.7× 110 1.4× 13 0.2× 32 584
Changjie Wang 40 0.5× 163 1.9× 95 1.2× 21 0.3× 26 0.4× 40 561

Countries citing papers authored by Sahil Arora

Since Specialization
Citations

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

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

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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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