Sachit Menon

713 citations
6 papers · 119 · h-index 3

Impact in

    • Multimodal Machine Learning Applications
    • Advanced Image and Video Retrieval Techniques
    • Human Pose and Action Recognition
    • Advanced Image Processing Techniques
    • Advanced Vision and Imaging
    • Topic Modeling
    • Domain Adaptation and Few-Shot Learning
    • Natural Language Processing Techniques

Papers in

Sachit Menon

5 papers receiving 117 citations

Peers

Sachit Menon
Comparison fields: 5 of 32
  • Computer Vision and Pattern Recognition 84
  • Artificial Intelligence 67
  • Health Informatics 2
  • Media Technology 6
  • Computer Graphics and Computer-Aided Design 2
Replace Sébastien Ehrhardt with:
Sébastien Ehrhardt United Kingdom
Ali Dabouei United States
Kibok Lee South Korea
Jaehong Yoon South Korea
Mingyang Ling China
Peyman Passban Ireland
Armin Stahl Germany
Sebastiaan Indesteege Belgium
Tejas Gokhale United States
Mengzhou Xia United States
Sachit Menon relative to Sébastien Ehrhardt United Kingdom Sébastien Ehrhardt's profile →
Citations per field
00.5×1.5×2.1×
Sébastien Ehrhardt · 1×
Citations per year

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-authors

The 12 scholars most cited alongside Sachit Menon, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Sachit Menon Line = papers co-authored together Sachit Menon links everyone, so they are left out of the graph.

All Works

About Sachit Menon

Sachit Menon is a scholar working on Computer Vision and Pattern Recognition, Artificial Intelligence, Literature and Literary Theory, Computational Mechanics and Media Technology, having authored 6 papers that have together received 119 indexed citations. Recurring topics across this work include Multimodal Machine Learning Applications (3 papers), Domain Adaptation and Few-Shot Learning (3 papers), Advanced Vision and Imaging (2 papers), Computer Graphics and Visualization Techniques (1 paper), Advanced Image and Video Retrieval Techniques (1 paper), 3D Shape Modeling and Analysis (1 paper), Video Analysis and Summarization (1 paper) and Digital Humanities and Scholarship (1 paper). The work is most often cited by research in Computer Vision and Pattern Recognition (84 citations), Artificial Intelligence (67 citations), Health Informatics (2 citations), Media Technology (6 citations) and Computer Graphics and Computer-Aided Design (2 citations). Sachit Menon has collaborated with scholars based in United States and United Kingdom. Frequent co-authors include Carl Vondrick, Dídac Surís, Chengzhi Mao, Junfeng Yang, Shijia Hu, Cynthia Rudin, Xin Wang, Ruoshi Liu, Dennis Park and Simon Stent. Their work appears in journals such as International Journal of Computer Vision.

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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