Amit Agrawal
- Computer Vision and Pattern Recognition top 1%
- Artificial Intelligence top 5%
- Media Technology top 2%
- Radiology, Nuclear Medicine and Imaging
- Aerospace Engineering
- Co-authors
- Ambrish TyagiXiaogang WangHang ZhangZhongyue ZhangJianping ShiKristin DanaSiddhartha ChandraVisesh Chari
- Topics
- Advanced Vision and Imaging (3 papers)Human Pose and Action Recognition (2 papers)Advanced Neural Network Applications (2 papers)
- Journals
- IEEE Computer Graphics and Applicationsnpj Digital MedicineCERN Document Server (European Organization for Nuclear Research)
- Partner nations
- United StatesGermanyNetherlands
In The Last Decade
Amit Agrawal
13 papers receiving 1.1k citations
Hit Papers
Peers
Comparison fields: 5 of 111
- Computer Vision and Pattern Recognition 849
- Artificial Intelligence 343
- Media Technology 160
- Radiology, Nuclear Medicine and Imaging 79
- Aerospace Engineering 63
Countries citing papers authored by Amit Agrawal
This map shows the geographic impact of Amit Agrawal'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 Amit Agrawal with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Amit Agrawal more than expected).
Fields of papers citing papers by Amit Agrawal
This network shows the impact of papers produced by Amit Agrawal. 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 Amit Agrawal. The network helps show where Amit Agrawal may publish in the future.
Co-authorship network of co-authors of Amit Agrawal
This figure shows the co-authorship network connecting the top 25 collaborators of Amit Agrawal. A scholar is included among the top collaborators of Amit Agrawal 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 Amit Agrawal. Amit Agrawal is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 52 | |
| 2 | Hands-on Question Answering Systems with BERT: Applications in Neural Networks and Natural Language Processing | 2 |
| 3 | 1 | |
| 4 | PoseNet3D: Unsupervised 3D Human Shape and Pose Estimation | 9 |
| 5 | 5 | |
| 6 | 72 | |
| 7 | 17 | |
| 8 | 8 | |
| 9 | 3 | |
| 10 | Context Encoding for Semantic Segmentationbreakdown → | 968 |
| 11 | 2 | |
| 12 | 1 | |
| 13 | 5 | |
| 14 | Jet Propulsion Local Area Network (JPLAN). | 0 |
About Amit Agrawal
Amit Agrawal is a scholar working on Computer Vision and Pattern Recognition, Computer Graphics and Computer-Aided Design and Software, having authored 14 papers that have together received 1.1k indexed citations. Recurring topics across this work include Advanced Vision and Imaging (3 papers), Human Pose and Action Recognition (2 papers) and Advanced Neural Network Applications (2 papers). The work is most often cited by research in Computer Vision and Pattern Recognition (849 citations), Media Technology (160 citations) and Artificial Intelligence (343 citations). Amit Agrawal has collaborated with scholars based in United States, Germany and Netherlands. Frequent co-authors include Ambrish Tyagi, Xiaogang Wang, Hang Zhang, Zhongyue Zhang, Jianping Shi, Kristin Dana, Siddhartha Chandra, Visesh Chari, James M. Rehg and Navin Sabharwal. Their work appears in journals such as IEEE Computer Graphics and Applications, npj Digital Medicine and CERN Document Server (European Organization for Nuclear Research).
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.