A. Agarwala
Impact in
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- Advanced Vision and Imaging
- Advanced Image and Video Retrieval Techniques
- Image Enhancement Techniques
- Advanced Image Processing Techniques
- Medical Image Segmentation Techniques
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- Computer Graphics and Visualization Techniques
Papers in
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- Advanced Vision and Imaging 4
- Advanced Image and Video Retrieval Techniques 3
- Generative Adversarial Networks and Image Synthesis 2
- Image Enhancement Techniques 2
- Image Retrieval and Classification Techniques 1
- Medical Image Segmentation Techniques 1
- Visual Attention and Saliency Detection 1
- Co-authors
- Rick SzeliskiMartha TappenOlga VekslerVladimir KolmogorovCarsten RotherRamin ZabihDaniel ScharsteinEdward H. Adelson
- Journals
- Computer Graphics Forum (2 papers)IEEE Transactions on Visualization and Computer Graphics (1 paper)IEEE Transactions on Pattern Analysis and Machine Intelligence (1 paper)
- Partner nations
- United StatesCanadaIndia
In The Last Decade
A. Agarwala
7 papers receiving 734 citations
Hit Papers
Peers
Comparison fields: 5 of 68
- Computer Vision and Pattern Recognition 586
- Computer Graphics and Computer-Aided Design 62
- Media Technology 127
- Geology 26
- Signal Processing 41
Countries citing papers authored by A. Agarwala
This map shows the geographic impact of A. Agarwala'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 A. Agarwala with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites A. Agarwala more than expected).
Fields of papers citing papers by A. Agarwala
This network shows the impact of papers produced by A. Agarwala. 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 A. Agarwala. The network helps show where A. Agarwala may publish in the future.
Co-authors
The 25 scholars most cited alongside A. Agarwala, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2013 | 11 | |
| 2 | 2012 | 14 | |
| 3 | 2012 | 7 | |
| 4 | Article 1 A. M. Bronstein Shape Google: Geometric Words and Expressions for (20 pages) M. M. Bronstein Invariant Shape Retrieval | 2011 | 8 |
| 5 | A Comparative Study of Energy Minimization Methods for Markov Random Fields with Smoothness-Based Priors Hit paper breakdown → | 2008 | 643 |
| 6 | 2008 | 50 | |
| 7 | 2006 | 22 |
About A. Agarwala
A. Agarwala is a scholar working on Computer Vision and Pattern Recognition, Computer Graphics and Computer-Aided Design, Social Psychology, Computational Mechanics and Artificial Intelligence, having authored 7 papers that have together received 755 indexed citations. Recurring topics across this work include Advanced Vision and Imaging (4 papers), Advanced Image and Video Retrieval Techniques (3 papers), Generative Adversarial Networks and Image Synthesis (2 papers), Image Enhancement Techniques (2 papers), Image Retrieval and Classification Techniques (1 paper), Medical Image Segmentation Techniques (1 paper), Cryptographic Implementations and Security (1 paper) and Visual Attention and Saliency Detection (1 paper). The work is most often cited by research in Computer Vision and Pattern Recognition (586 citations), Computer Graphics and Computer-Aided Design (62 citations), Media Technology (127 citations), Geology (26 citations) and Signal Processing (41 citations). A. Agarwala has collaborated with scholars based in United States, Canada and India. Frequent co-authors include Rick Szeliski, Martha Tappen, Olga Veksler, Vladimir Kolmogorov, Carsten Rother, Ramin Zabih, Daniel Scharstein, Edward H. Adelson, Michael F. Cohen and Brian Curless. Their work appears in journals such as Computer Graphics Forum, IEEE Transactions on Visualization and Computer Graphics and IEEE Transactions on Pattern Analysis and Machine Intelligence.
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.