Aaron Chadha

450 total citations
11 papers, 279 citations indexed

About

Aaron Chadha is a scholar working on Computer Vision and Pattern Recognition, Signal Processing and Electrical and Electronic Engineering. According to data from OpenAlex, Aaron Chadha has authored 11 papers receiving a total of 279 indexed citations (citations by other indexed papers that have themselves been cited), including 9 papers in Computer Vision and Pattern Recognition, 4 papers in Signal Processing and 3 papers in Electrical and Electronic Engineering. Recurrent topics in Aaron Chadha's work include Advanced Image Processing Techniques (5 papers), Video Coding and Compression Technologies (4 papers) and Image and Video Quality Assessment (3 papers). Aaron Chadha is often cited by papers focused on Advanced Image Processing Techniques (5 papers), Video Coding and Compression Technologies (4 papers) and Image and Video Quality Assessment (3 papers). Aaron Chadha collaborates with scholars based in United Kingdom and Palestinian Territory. Aaron Chadha's co-authors include Yiannis Andreopoulos, Yin Bi, Eirina Bourtsoulatze, Vasileios Giotsas and Matthias S. Treder and has published in prestigious journals such as IEEE Transactions on Image Processing, IEEE Transactions on Circuits and Systems for Video Technology and IEEE Transactions on Multimedia.

In The Last Decade

Aaron Chadha

11 papers receiving 270 citations

Peers

Aaron Chadha

EEE

CVPR

AI

CN

CMN

Tiejun Huang China

Dingheng Wang China

Youngeun Kim United States

Gourav Datta United States

Byunggook Na South Korea

Federico Paredes-Vallés Netherlands

Zongwu Wang China

Xiaoling Luo China

Man Yao China

Chethan M. Parameshwara United States

Tiejun Huang China

Aaron Chadha

86 ×0.6

EEE

161 ×1.3

CVPR

69 ×0.8

AI

63 ×1.1

CN

14 ×0.8

CMN

Citations per year, relative to Aaron Chadha Aaron Chadha (= 1×) peers Tiejun Huang

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-authorship network of co-authors of Aaron Chadha

This figure shows the co-authorship network connecting the top 25 collaborators of Aaron Chadha. A scholar is included among the top collaborators of Aaron Chadha 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 Aaron Chadha. Aaron Chadha is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

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11 of 11 papers shown

1.

Treder, Matthias S., et al.. (2024). Adaptive Render-Video Streaming for Virtual Environments. 41. 5742–5751. 1 indexed citations

2.

Chadha, Aaron, et al.. (2022). Toward Generalized Psychovisual Preprocessing For Video Encoding. SMPTE Motion Imaging Journal. 131(4). 39–44. 1 indexed citations

3.

Chadha, Aaron & Yiannis Andreopoulos. (2021). Deep Perceptual Preprocessing for Video Coding. 14847–14856. 18 indexed citations

4.

Bi, Yin, et al.. (2020). Graph-Based Spatio-Temporal Feature Learning for Neuromorphic Vision Sensing. IEEE Transactions on Image Processing. 29. 9084–9098. 96 indexed citations

5.

Chadha, Aaron, et al.. (2019). Neuromorphic Vision Sensing for CNN-based Action Recognition. 7968–7972. 15 indexed citations

6.

Chadha, Aaron, et al.. (2019). Deep-learning based precoding techniques for next-generation video compression. Lancaster EPrints (Lancaster University). 1 indexed citations

7.

Bi, Yin, et al.. (2019). Graph-Based Object Classification for Neuromorphic Vision Sensing. 491–501. 97 indexed citations

8.

Chadha, Aaron & Yiannis Andreopoulos. (2018). Improving Adversarial Discriminative Domain Adaptation.. arXiv (Cornell University). 3 indexed citations

9.

Chadha, Aaron, et al.. (2018). Rate-Accuracy Trade-Off in Video Classification With Deep Convolutional Neural Networks. IEEE Transactions on Circuits and Systems for Video Technology. 30(1). 145–154. 13 indexed citations

10.

Chadha, Aaron & Yiannis Andreopoulos. (2017). Voronoi-Based Compact Image Descriptors: Efficient Region-of-Interest Retrieval With VLAD and Deep-Learning-Based Descriptors. IEEE Transactions on Multimedia. 19(7). 1596–1608. 28 indexed citations

11.

Chadha, Aaron, et al.. (2017). Compressed-domain video classification with deep neural networks: “There's way too much information to decode the matrix”. 6 indexed citations

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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