Alejandro Newell
Impact in
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- Human Pose and Action Recognition
- Video Surveillance and Tracking Methods
- Advanced Neural Network Applications
- Advanced Vision and Imaging
- Advanced Image and Video Retrieval Techniques
- Human-Computer Interaction top 0.5%
- Hand Gesture Recognition Systems
Papers in
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- Advanced Image and Video Retrieval Techniques 3
- Advanced Vision and Imaging 3
- Human Pose and Action Recognition 2
- Visual Attention and Saliency Detection 1
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- Computer Graphics and Visualization Techniques 1
- Co-authors
- Jia Hao Deng (4 shared papers)Kaiyu Yang (2 shared papers)James Shaw (1 shared paper)Yuval Bahat (1 shared paper)Issam Laradji (1 shared paper)Felix Heide (1 shared paper)Ankit Goyal (2 shared papers)Hei Law (1 shared paper)
- Journals
- Lecture notes in computer science (1 paper)2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) (1 paper)King Abdullah University of Science and Technology Repository (King Abdullah University of Science and Technology) (1 paper)Springer eBooks (1 paper)
- Partner nations
- United StatesCanada
In The Last Decade
Alejandro Newell
8 papers receiving 3.9k citations
Alejandro Newell's Hit Papers
Peers
Comparison fields: 5 of 146
- Computer Vision and Pattern Recognition 3.3k
- Human-Computer Interaction 638
- Artificial Intelligence 841
- Media Technology 213
- Computer Graphics and Computer-Aided Design 82
Countries citing papers authored by Alejandro Newell
This map shows the geographic impact of Alejandro Newell'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 Alejandro Newell with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Alejandro Newell more than expected).
Fields of papers citing papers by Alejandro Newell
This network shows the impact of papers produced by Alejandro Newell. 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 Alejandro Newell. The network helps show where Alejandro Newell may publish in the future.
Co-authors
The 17 scholars most cited alongside Alejandro Newell, 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 | Stacked Hourglass Networks for Human Pose Estimation Hit paper breakdown → | 2016 | 3729 |
| 2 | Pixels to Graphs by Associative Embedding | 2017 | 79 |
| 3 | 2020 | 78 | |
| 4 | 1983 | 47 | |
| 5 | 2023 | 46 | |
| 6 | 2022 | 34 | |
| 7 | 2019 | 17 | |
| 8 | 1955 | 3 |
About Alejandro Newell
Alejandro Newell is a scholar working on Computer Vision and Pattern Recognition, Computer Graphics and Computer-Aided Design, Radiological and Ultrasound Technology, Human-Computer Interaction and Artificial Intelligence, having authored 8 papers that have together received 4.0k indexed citations. Recurring topics across this work include Advanced Image and Video Retrieval Techniques (3 papers), Advanced Vision and Imaging (3 papers), Human Pose and Action Recognition (2 papers), Occupational Health and Safety Research (1 paper), Computer Graphics and Visualization Techniques (1 paper), Logic, Reasoning, and Knowledge (1 paper), Visual Attention and Saliency Detection (1 paper) and Domain Adaptation and Few-Shot Learning (1 paper). The work is most often cited by research in Computer Vision and Pattern Recognition (3.3k citations), Human-Computer Interaction (638 citations), Artificial Intelligence (841 citations), Media Technology (213 citations) and Computer Graphics and Computer-Aided Design (82 citations). Alejandro Newell has collaborated with scholars based in United States and Canada. Frequent co-authors include Jia Hao Deng, Kaiyu Yang, James Shaw, Yuval Bahat, Issam Laradji, Felix Heide, Ankit Goyal, Hei Law, Vineet R. Kamat and Daeho Kim. Their work appears in journals such as Lecture notes in computer science, 2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR), King Abdullah University of Science and Technology Repository (King Abdullah University of Science and Technology) and Springer eBooks.
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.