Aaron Chadha

466 citations
13 papers · 289 · h-index 7

Impact in

Papers in

    • Advanced Image Processing Techniques 6
    • Image and Video Quality Assessment 4
    • Advanced Vision and Imaging 3
    • Image and Signal Denoising Methods 2
    • Human Pose and Action Recognition 2
    • Video Coding and Compression Technologies 4

Aaron Chadha

11 papers receiving 280 citations

Peers

Aaron Chadha
Comparison fields: 5 of 48
  • Computer Vision and Pattern Recognition 126
  • Cognitive Neuroscience 60
  • Artificial Intelligence 86
  • Electrical and Electronic Engineering 148
  • Instrumentation 7
Replace Chethan M. Parameshwara with:
Chethan M. Parameshwara United States
Tiejun Huang China
Federico Paredes-Vallés Netherlands
Anton Mitrokhin United States
Diederik Paul Moeys Switzerland
Guangyu Wang China
Alfio Di Mauro Italy
Dingheng Wang China
Marco Ciccone Italy
M. Höller United States
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Citations per field
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Chethan M. Parameshwara · 1×
Citations per year

Countries citing papers authored by Aaron Chadha

Since Specialization
Citations

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

Fields of papers citing papers by Aaron Chadha

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 7 scholars most cited alongside Aaron Chadha, 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 Aaron Chadha Line = papers co-authored together Aaron Chadha links everyone, so they are left out of the graph.

All Works

13 of 13 papers shown
#Work
1 2019101
2 202099
3 201728
4 202120
5 201915
6 201813
7 20177
8
Improving Adversarial Discriminative Domain Adaptation.
20183
9 20221
10 20241
11
Deep-learning based precoding techniques for next-generation video compression
20191
12 20250
13 20220

About Aaron Chadha

Aaron Chadha is a scholar working on Computer Vision and Pattern Recognition, Signal Processing, Electrical and Electronic Engineering, Artificial Intelligence and Computer Networks and Communications, having authored 13 papers that have together received 289 indexed citations. Recurring topics across this work include Advanced Image Processing Techniques (6 papers), Video Coding and Compression Technologies (4 papers), Image and Video Quality Assessment (4 papers), Advanced Vision and Imaging (3 papers), Advanced Memory and Neural Computing (3 papers), Ferroelectric and Negative Capacitance Devices (2 papers), Image and Signal Denoising Methods (2 papers) and Human Pose and Action Recognition (2 papers). The work is most often cited by research in Computer Vision and Pattern Recognition (126 citations), Cognitive Neuroscience (60 citations), Artificial Intelligence (86 citations), Electrical and Electronic Engineering (148 citations) and Instrumentation (7 citations). Aaron Chadha has collaborated with scholars based in United Kingdom, Palestinian Territory and United States. Frequent co-authors include Yiannis Andreopoulos, Yin Bi, Eirina Bourtsoulatze, Vasileios Giotsas, Ioannis Katsavounidis, Matthias S. Treder and Ayan Kumar Bhunia. Their work appears in journals such as SMPTE Motion Imaging Journal, IEEE Transactions on Image Processing, IEEE Transactions on Multimedia, IEEE Transactions on Circuits and Systems for Video Technology and Lancaster EPrints (Lancaster University).

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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