Priya Goyal
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- Advanced Neural Network Applications 2
- Visual Attention and Saliency Detection 1
- Media Technology top 0.5%
- Artificial Intelligence top 0.5%
- Domain Adaptation and Few-Shot Learning 3
- Evolutionary Algorithms and Applications 1
- Health Informatics top 2%
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- Parallel Computing and Optimization Techniques 2
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- Advanced Adaptive Filtering Techniques 1
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- Intensive Care Unit Cognitive Disorders 1
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- Advanced MIMO Systems Optimization 1
- Co-authors
- Tsung-Yi LinPiotr DollárRoss GirshickKaiming HeMatthijs DouzeOleksandr ZinenkoZachary DeVitoAlbert Cohen
- Cited by
- Computer Vision and Pattern RecognitionMedia TechnologyIndustrial and Manufacturing Engineering
- Journals
- IEEE Transactions on Pattern Analysis and Machine Intelligence (1 paper)ACM Transactions on Architecture and Code Optimization (1 paper)American Heart Journal Plus Cardiology Research and Practice (1 paper)
- Partner nations
- IndiaUnited StatesIsrael
In The Last Decade
Priya Goyal
7 papers receiving 6.1k citations
Hit Papers
Peers
Comparison fields: 5 of 184
- Computer Vision and Pattern Recognition 3.2k
- Media Technology 676
- Industrial and Manufacturing Engineering 495
- Artificial Intelligence 1.6k
- Health Informatics 50
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-authorship network
The 19 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 | 2025 | 0 | |
| 2 | 2025 | 0 | |
| 3 | 2023 | 10 | |
| 4 | 2022 | 29 | |
| 5 | 2022 | 8 | |
| 6 | 2019 | 29 | |
| 7 | Focal Loss for Dense Object Detectionbreakdown → | 2018 | 6233 |
| 8 | 2016 | 3 | |
| 9 | A Study on 5G Evolution and Revolution | 2015 | 3 |
About Priya Goyal
Priya Goyal is a scholar working on Hardware and Architecture, Computer Vision and Pattern Recognition, Critical Care and Intensive Care Medicine, Computer Networks and Communications and Artificial Intelligence, having authored 9 papers that have together received 6.3k 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), Visual Attention and Saliency Detection (1 paper), Evolutionary Algorithms and Applications (1 paper), Advanced Adaptive Filtering Techniques (1 paper), Intensive Care Unit Cognitive Disorders (1 paper) and Advanced MIMO Systems Optimization (1 paper). The work is most often cited by research in Computer Vision and Pattern Recognition (3.2k citations), Media Technology (676 citations), Industrial and Manufacturing Engineering (495 citations), Artificial Intelligence (1.6k citations) and Health Informatics (50 citations). Priya Goyal has collaborated with scholars based in India, United States and Israel. Frequent co-authors include Tsung-Yi Lin, Piotr Dollár, Ross Girshick, Kaiming He, Matthijs Douze, Oleksandr Zinenko, Zachary DeVito, Albert Cohen, Andrew Adams and Nicolas Vasilache. Their work appears in journals such as IEEE Transactions on Pattern Analysis and Machine Intelligence, ACM Transactions on Architecture and Code Optimization, American Heart Journal Plus Cardiology Research and Practice, 2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) and eScholarship (California Digital Library).
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.