Steven Walton
Impact in
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- Advanced Neural Network Applications
- Advanced Image and Video Retrieval Techniques
- Advanced Image Processing Techniques
- Advanced Vision and Imaging
- Media Technology top 5%
- Advanced Image Fusion Techniques
- Remote-Sensing Image Classification
- Image Processing Techniques and Applications
Papers in
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- Advanced Neural Network Applications 3
- Advanced Image and Video Retrieval Techniques 1
- Multimodal Machine Learning Applications 1
- Medical Image Segmentation Techniques 1
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- Domain Adaptation and Few-Shot Learning 2
- Co-authors
- Humphrey Shi (4 shared papers)Jiachen Li (3 shared papers)Ali Hassani (2 shared papers)Shen Li (1 shared paper)Zilong Huang (1 shared paper)Ali Hassani (1 shared paper)Jitesh Jain (1 shared paper)Anu Singh (1 shared paper)
- Journals
- Proceedings of the AAAI Conference on Artificial Intelligence (1 paper)
- Partner nations
- United StatesIsrael
In The Last Decade
Steven Walton
5 papers receiving 292 citations
Steven Walton's Hit Papers
Peers
Comparison fields: 5 of 69
- Computer Vision and Pattern Recognition 201
- Media Technology 72
- Artificial Intelligence 79
- Neurology 13
- Industrial and Manufacturing Engineering 15
Countries citing papers authored by Steven Walton
This map shows the geographic impact of Steven Walton'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 Steven Walton with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Steven Walton more than expected).
Fields of papers citing papers by Steven Walton
This network shows the impact of papers produced by Steven Walton. 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 Steven Walton. The network helps show where Steven Walton may publish in the future.
Co-authors
The 11 scholars most cited alongside Steven Walton, 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 | Neighborhood Attention Transformer Hit paper breakdown → | 2023 | 227 |
| 2 | 2023 | 42 | |
| 3 | 2023 | 24 | |
| 4 | 2023 | 2 | |
| 5 | 2025 | 1 |
About Steven Walton
Steven Walton is a scholar working on Computer Vision and Pattern Recognition, Artificial Intelligence, Computational Theory and Mathematics, Media Technology and Management Science and Operations Research, having authored 5 papers that have together received 296 indexed citations. Recurring topics across this work include Advanced Neural Network Applications (3 papers), Domain Adaptation and Few-Shot Learning (2 papers), Advanced Image and Video Retrieval Techniques (1 paper), Advanced Image Fusion Techniques (1 paper), CCD and CMOS Imaging Sensors (1 paper), Multimodal Machine Learning Applications (1 paper), Industrial Vision Systems and Defect Detection (1 paper) and Medical Image Segmentation Techniques (1 paper). The work is most often cited by research in Computer Vision and Pattern Recognition (201 citations), Media Technology (72 citations), Artificial Intelligence (79 citations), Neurology (13 citations) and Industrial and Manufacturing Engineering (15 citations). Steven Walton has collaborated with scholars based in United States and Israel. Frequent co-authors include Humphrey Shi, Jiachen Li, Ali Hassani, Shen Li, Zilong Huang, Ali Hassani, Jitesh Jain, Anu Singh, Nikita Orlov and Alexander Ihler. Their work appears in journals such as Proceedings of the AAAI Conference on Artificial 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.