Aruni RoyChowdhury
- Computer Vision and Pattern Recognition top 0.5%
- Artificial Intelligence top 2%
- Media Technology top 2%
- Radiology, Nuclear Medicine and Imaging top 10%
- Aerospace Engineering top 10%
- Co-authors
- Subhransu MajiTsung‐Yu LinErik Learned-MillerRakesh R. MenonR. ManmathaYuting ZhangZhuowen TuMatheus Gadelha
- Topics
- Advanced Image and Video Retrieval Techniques (3 papers)Advanced Neural Network Applications (2 papers)Domain Adaptation and Few-Shot Learning (2 papers)
- Journals
- IEEE Transactions on Pattern Analysis and Machine IntelligenceComputer Graphics ForumarXiv (Cornell University)
- Partner nations
- United StatesCyprus
In The Last Decade
Aruni RoyChowdhury
6 papers receiving 1.6k citations
Hit Papers
Peers
Comparison fields: 5 of 122
- Computer Vision and Pattern Recognition 1.2k
- Artificial Intelligence 640
- Media Technology 208
- Radiology, Nuclear Medicine and Imaging 120
- Aerospace Engineering 102
Countries citing papers authored by Aruni RoyChowdhury
This map shows the geographic impact of Aruni RoyChowdhury'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 Aruni RoyChowdhury with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Aruni RoyChowdhury more than expected).
Fields of papers citing papers by Aruni RoyChowdhury
This network shows the impact of papers produced by Aruni RoyChowdhury. 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 Aruni RoyChowdhury. The network helps show where Aruni RoyChowdhury may publish in the future.
Co-authorship network of co-authors of Aruni RoyChowdhury
This figure shows the co-authorship network connecting the top 25 collaborators of Aruni RoyChowdhury. A scholar is included among the top collaborators of Aruni RoyChowdhury 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 Aruni RoyChowdhury. Aruni RoyChowdhury is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 5 | |
| 2 | 10 | |
| 3 | 28 | |
| 4 | 245 | |
| 5 | Bilinear CNN Models for Fine-Grained Visual Recognitionbreakdown → | 1334 |
| 6 | Face Identification with Bilinear CNNs. | 12 |
About Aruni RoyChowdhury
Aruni RoyChowdhury is a scholar working on Computer Vision and Pattern Recognition, Geology and Artificial Intelligence, having authored 6 papers that have together received 1.6k indexed citations. Recurring topics across this work include Advanced Image and Video Retrieval Techniques (3 papers), Advanced Neural Network Applications (2 papers) and Domain Adaptation and Few-Shot Learning (2 papers). The work is most often cited by research in Computer Vision and Pattern Recognition (1.2k citations), Media Technology (208 citations) and Artificial Intelligence (640 citations). Aruni RoyChowdhury has collaborated with scholars based in United States and Cyprus. Frequent co-authors include Subhransu Maji, Tsung‐Yu Lin, Erik Learned-Miller, Rakesh R. Menon, R. Manmatha, Yuting Zhang, Zhuowen Tu, Matheus Gadelha, Liangliang Cao and Ankan Bansal. Their work appears in journals such as IEEE Transactions on Pattern Analysis and Machine Intelligence, Computer Graphics Forum and arXiv (Cornell University).
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.