Dipika Singhania
- Computer Vision and Pattern Recognition top 10%
- Artificial Intelligence
- Human-Computer Interaction
- Control and Systems Engineering
- Biomedical Engineering
- Co-authors
- Angela YaoFadime ŞenerKun HeRobert Wang
- Topics
- Human Pose and Action Recognition (3 papers)Anomaly Detection Techniques and Applications (2 papers)Time Series Analysis and Forecasting (1 paper)
- Journals
- IEEE Transactions on Pattern Analysis and Machine Intelligence2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)Proceedings of the AAAI Conference on Artificial Intelligence
- Partner nations
- SingaporeUnited States
In The Last Decade
Dipika Singhania
3 papers receiving 110 citations
Peers
Comparison fields: 5 of 36
- Computer Vision and Pattern Recognition 90
- Artificial Intelligence 48
- Human-Computer Interaction 23
- Control and Systems Engineering 20
- Biomedical Engineering 9
Countries citing papers authored by Dipika Singhania
This map shows the geographic impact of Dipika Singhania'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 Dipika Singhania with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Dipika Singhania more than expected).
Fields of papers citing papers by Dipika Singhania
This network shows the impact of papers produced by Dipika Singhania. 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 Dipika Singhania. The network helps show where Dipika Singhania may publish in the future.
Co-authorship network of co-authors of Dipika Singhania
This figure shows the co-authorship network connecting the top 25 collaborators of Dipika Singhania. A scholar is included among the top collaborators of Dipika Singhania 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 Dipika Singhania. Dipika Singhania is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 25 | |
| 2 | 80 | |
| 3 | 11 |
About Dipika Singhania
Dipika Singhania is a scholar working on Computer Vision and Pattern Recognition, Signal Processing and Artificial Intelligence, having authored 3 papers that have together received 116 indexed citations. Recurring topics across this work include Human Pose and Action Recognition (3 papers), Anomaly Detection Techniques and Applications (2 papers) and Time Series Analysis and Forecasting (1 paper). The work is most often cited by research in Computer Vision and Pattern Recognition (90 citations), Human-Computer Interaction (23 citations) and Artificial Intelligence (48 citations). Dipika Singhania has collaborated with scholars based in Singapore and United States. Frequent co-authors include Angela Yao, Fadime Şener, Kun He and Robert Wang. Their work appears in journals such as IEEE Transactions on Pattern Analysis and Machine Intelligence, 2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) and 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.