Priya Goyal
Impact in
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- Advanced Neural Network Applications
- Video Surveillance and Tracking Methods
- Advanced Image and Video Retrieval Techniques
- Media Technology top 0.5%
- Remote-Sensing Image Classification
Papers in
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- Advanced Neural Network Applications 2
- Multimodal Machine Learning Applications 1
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- Domain Adaptation and Few-Shot Learning 3
- Explainable Artificial Intelligence (XAI) 1
- Co-authors
- Ross Girshick (1 shared paper)Kaiming He (1 shared paper)Tsung-Yi Lin (1 shared paper)Piotr Dollár (1 shared paper)Matthijs Douze (1 shared paper)Sven Verdoolaege (1 shared paper)Oleksandr Zinenko (1 shared paper)Albert Cohen (1 shared paper)
- Journals
- IEEE Transactions on Pattern Analysis and Machine Intelligence (1 paper)ACM Transactions on Architecture and Code Optimization (1 paper)eScholarship (California Digital Library) (1 paper)2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) (1 paper)American Heart Journal Plus Cardiology Research and Practice (1 paper)
- Partner nations
- United StatesIndiaIsrael
In The Last Decade
Priya Goyal
8 papers receiving 6.3k citations
Priya Goyal's Hit Papers
Peers
Comparison fields: 5 of 182
- Computer Vision and Pattern Recognition 3.2k
- Media Technology 683
- Industrial and Manufacturing Engineering 508
- Artificial Intelligence 1.6k
- Health Informatics 39
Countries citing papers authored by Priya Goyal
This map shows the geographic impact of Priya Goyal'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 Priya Goyal with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Priya Goyal more than expected).
Fields of papers citing papers by Priya Goyal
This network shows the impact of papers produced by Priya Goyal. 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 Priya Goyal. The network helps show where Priya Goyal may publish in the future.
Co-authors
The 21 scholars most cited alongside Priya Goyal, 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 | Focal Loss for Dense Object Detection Hit paper breakdown → | 2018 | 6433 |
| 2 | 2022 | 37 | |
| 3 | 2019 | 29 | |
| 4 | 2023 | 10 | |
| 5 | 2022 | 8 | |
| 6 | 2016 | 3 | |
| 7 | A Study on 5G Evolution and Revolution | 2015 | 3 |
| 8 | 2025 | 2 | |
| 9 | 2025 | 0 |
About Priya Goyal
Priya Goyal is a scholar working on Computer Vision and Pattern Recognition, Artificial Intelligence, Computer Networks and Communications, Hardware and Architecture and Surgery, having authored 9 papers that have together received 6.5k indexed citations. Recurring topics across this work include Domain Adaptation and Few-Shot Learning (3 papers), Parallel Computing and Optimization Techniques (2 papers), Advanced Neural Network Applications (2 papers), Explainable Artificial Intelligence (XAI) (1 paper), Multimodal Machine Learning Applications (1 paper), Healthcare Technology and Patient Monitoring (1 paper), Advanced MIMO Systems Optimization (1 paper) and Cooperative Communication and Network Coding (1 paper). The work is most often cited by research in Computer Vision and Pattern Recognition (3.2k citations), Media Technology (683 citations), Industrial and Manufacturing Engineering (508 citations), Artificial Intelligence (1.6k citations) and Health Informatics (39 citations). Priya Goyal has collaborated with scholars based in United States, India and Israel. Frequent co-authors include Ross Girshick, Kaiming He, Tsung-Yi Lin, Piotr Dollár, Matthijs Douze, Sven Verdoolaege, Oleksandr Zinenko, Albert Cohen, Zachary DeVito and William S. Moses. Their work appears in journals such as IEEE Transactions on Pattern Analysis and Machine Intelligence, ACM Transactions on Architecture and Code Optimization, eScholarship (California Digital Library), 2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) and American Heart Journal Plus Cardiology Research and Practice.
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.