Ravi Garg

4.3k citations
43 papers · 1.4k indexed · 1 hit paper · h-index 20

Impact in

Papers in

Ravi Garg

43 papers receiving 1.3k citations

Hit Papers

Unsupervised Learning of Monocular Depth Estimation and Visual Odometry with Deep Feature Reconstruction 2018 · 424 citations
4242018202620202023100200300400

Peers

Ravi Garg
Comparison fields: 5 of 64
  • Computer Vision and Pattern Recognition 1.1k
  • Media Technology 221
  • Signal Processing 250
  • Aerospace Engineering 392
  • Computer Graphics and Computer-Aided Design 35
Replace Mario E. Munich with:
Mario E. Munich United States
Rendong Ying China
Bumsub Ham South Korea
Pavel Zemčík Czechia
Wenxiu Sun Hong Kong
Abraham Bachrach United States
Yubin Kuang Sweden
Wen-Yan Lin Singapore
Anhong Wang China
Junseok Kwon South Korea
Ravi Garg relative to Mario E. Munich United States Mario E. Munich's profile →
Citations per field
00.5×8.3×
Mario E. Munich · 1×
Citations per year

Countries citing papers authored by Ravi Garg

Since Specialization
Citations

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

Fields of papers citing papers by Ravi Garg

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network

The 25 scholars most cited alongside Ravi Garg, 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 Ravi Garg Line = papers co-authored together Ravi Garg links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown
#Work
1 20241
2 202311
3 20212
4
Single-view Object Shape Reconstruction Using Deep Shape Prior and Silhouette.
20194
5
Optimizable Object Reconstruction from a Single View.
20182
6
Learning Deeply Supervised Visual Descriptors for Dense Monocular Reconstruction.
20173
7
Low-Rank Kernel Subspace Clustering.
20179
8 20173
9 201727
10 201420
11
Heat Island Analysis of Nagpur and Surrounding Area using Geomatics Techniques
20143
12 201370
13 201311
14 20132
15
Instantaneous frequency estimation and localization for ENF signals
201237
16 20121
17 201222
18 201215
19 201161
20 201019

About Ravi Garg

Ravi Garg is a scholar working on Computer Vision and Pattern Recognition, Signal Processing, Media Technology, Music and Ocean Engineering, having authored 43 papers that have together received 1.4k indexed citations. Recurring topics across this work include Digital Media Forensic Detection (11 papers), Advanced Vision and Imaging (10 papers), Robotics and Sensor-Based Localization (8 papers), Geophysical Methods and Applications (5 papers), Music and Audio Processing (4 papers), Anomaly Detection Techniques and Applications (4 papers), Image Processing Techniques and Applications (4 papers) and Speech and Audio Processing (3 papers). The work is most often cited by research in Computer Vision and Pattern Recognition (1.1k citations), Media Technology (221 citations), Signal Processing (250 citations), Aerospace Engineering (392 citations) and Computer Graphics and Computer-Aided Design (35 citations). Ravi Garg has collaborated with scholars based in United States, Australia and United Kingdom. Frequent co-authors include Min Wu, Adi Hajj-Ahmad, Ian Reid, Chamara Saroj Weerasekera, Avinash L. Varna, Huangying Zhan, Kejie Li, Lourdes Agapito, Harsh Agarwal and Anastasios Roussos. Their work appears in journals such as IEEE Transactions on Information Forensics and Security, IEEE Signal Processing Letters, International Journal of Computer Vision, SAE technical papers on CD-ROM/SAE technical paper series and Journal of Imaging.

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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