Poojan Oza

1.1k total citations · 1 hit paper
9 papers, 389 citations indexed

About

Poojan Oza is a scholar working on Computer Vision and Pattern Recognition, Artificial Intelligence and Radiology, Nuclear Medicine and Imaging. According to data from OpenAlex, Poojan Oza has authored 9 papers receiving a total of 389 indexed citations (citations by other indexed papers that have themselves been cited), including 8 papers in Computer Vision and Pattern Recognition, 8 papers in Artificial Intelligence and 3 papers in Radiology, Nuclear Medicine and Imaging. Recurrent topics in Poojan Oza's work include Advanced Neural Network Applications (6 papers), Domain Adaptation and Few-Shot Learning (5 papers) and Multimodal Machine Learning Applications (3 papers). Poojan Oza is often cited by papers focused on Advanced Neural Network Applications (6 papers), Domain Adaptation and Few-Shot Learning (5 papers) and Multimodal Machine Learning Applications (3 papers). Poojan Oza collaborates with scholars based in United States and Germany. Poojan Oza's co-authors include Vishal M. Patel, Vibashan VS, Vishwanath A. Sindagi, Jeya Maria Jose Valanarasu, Shao-Yuan Lo and Rajeev Yasarla and has published in prestigious journals such as IEEE Transactions on Pattern Analysis and Machine Intelligence, arXiv (Cornell University) and 2023 IEEE/CVF Winter Conference on Applications of Computer Vision (WACV).

In The Last Decade

Poojan Oza

9 papers receiving 379 citations

Hit Papers

Unsupervised Domain Adaptation of Object Detectors: A Survey 2023 2026 2024 2025 2023 40 80 120

Peers

Poojan Oza
Comparison fields: 5 of 65
  • Computer Vision and Pattern Recognition 209
  • Media Technology 152
  • Artificial Intelligence 151
  • Aerospace Engineering 64
  • Radiology, Nuclear Medicine and Imaging 33
Replace Vibashan VS with:
Vibashan VS United States
Jin Yuan China
Alessio Tonioni Italy
Zhigang Dai China
Haoran Duan China
Jiabao Wang China
Mengde Xu China
Tao Gong China
Jingyu Li China
Vibashan VS United States View profile →
Citations per field, relative to Poojan Oza
Poojan Oza · 1×
Citations per year, relative to Poojan Oza
Poojan Oza · 1×

Countries citing papers authored by Poojan Oza

Since Specialization
Citations

This map shows the geographic impact of Poojan Oza'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 Poojan Oza with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Poojan Oza more than expected).

Fields of papers citing papers by Poojan Oza

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Poojan Oza. 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 Poojan Oza. The network helps show where Poojan Oza may publish in the future.

Co-authorship network of co-authors of Poojan Oza

This figure shows the co-authorship network connecting the top 25 collaborators of Poojan Oza. A scholar is included among the top collaborators of Poojan Oza 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 Poojan Oza. Poojan Oza is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

9 of 9 papers shown
# Work Indexed citations
1
Unsupervised Domain Adaptation of Object Detectors: A Survey breakdown →
130
2 25
3 12
4 52
5 16
6 129
7 7
8
Prior-based Domain Adaptive Object Detection for Adverse Weather Conditions.
1
9 17

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.

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