Sachit Menon

20 total papers · 705 total citations
6 papers, 112 citations indexed

About

Sachit Menon is a scholar working on Computer Vision and Pattern Recognition, Artificial Intelligence and Literature and Literary Theory. According to data from OpenAlex, Sachit Menon has authored 6 papers receiving a total of 112 indexed citations (citations by other indexed papers that have themselves been cited), including 6 papers in Computer Vision and Pattern Recognition, 3 papers in Artificial Intelligence and 1 paper in Literature and Literary Theory. Recurrent topics in Sachit Menon's work include Domain Adaptation and Few-Shot Learning (3 papers), Multimodal Machine Learning Applications (3 papers) and Advanced Vision and Imaging (2 papers). Sachit Menon is often cited by papers focused on Domain Adaptation and Few-Shot Learning (3 papers), Multimodal Machine Learning Applications (3 papers) and Advanced Vision and Imaging (2 papers). Sachit Menon collaborates with scholars based in United States and United Kingdom. Sachit Menon's co-authors include Carl Vondrick, Dídac Surís, Shijia Hu, Cynthia Rudin, Xin Wang, Chengzhi Mao, Junfeng Yang, Ruoshi Liu, Rohit Girdhar and Ishan Misra and has published in prestigious journals such as International Journal of Computer Vision.

In The Last Decade

Sachit Menon

5 papers receiving 110 citations

Author Peers

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

Author Last Decade Papers Cites
Sachit Menon 80 64 11 6 5 6 112
Tongzheng Ren 71 0.9× 53 0.8× 7 0.6× 5 0.8× 7 1.4× 10 117
Jishnu Mukhoti 32 0.4× 59 0.9× 7 0.6× 6 1.0× 9 1.8× 7 93
Alexandre Ramé 135 1.7× 187 2.9× 7 0.6× 7 1.2× 4 0.8× 5 216
Jaehong Yoon 54 0.7× 80 1.3× 4 0.4× 3 0.5× 4 0.8× 6 112
Vijeta Sharma 66 0.8× 94 1.5× 14 1.3× 4 0.7× 6 1.2× 5 230
Arthur Douillard 138 1.7× 190 3.0× 7 0.6× 8 1.3× 4 0.8× 8 218
Mehdi Cherti 133 1.7× 99 1.5× 5 0.5× 9 1.5× 8 1.6× 6 221
Y. Ono 93 1.2× 24 0.4× 5 0.5× 5 0.8× 6 1.2× 6 117
Sheng Yu 108 1.4× 74 1.2× 4 0.4× 10 1.7× 9 1.8× 10 220
Liangchen Luo 53 0.7× 131 2.0× 10 0.9× 3 0.5× 8 1.6× 7 175

Countries citing papers authored by Sachit Menon

Since Specialization
Citations

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

Fields of papers citing papers by Sachit Menon

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Sachit Menon

This figure shows the co-authorship network connecting the top 25 collaborators of Sachit Menon. A scholar is included among the top collaborators of Sachit Menon 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 Sachit Menon. Sachit Menon 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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