Bir Bhanu
- Computer Vision and Pattern Recognition top 0.05%
- Biomedical Engineering top 1%
- Artificial Intelligence top 0.5%
- Aerospace Engineering top 0.5%
- Signal Processing top 0.5%
- Co-authors
- Ju HanLe AnHui ChenMehran KafaiJing PengSongfan YangXuejun TanXiaoli Zhou
- Topics
- Video Surveillance and Tracking Methods (85 papers)Advanced Image and Video Retrieval Techniques (79 papers)Advanced Vision and Imaging (48 papers)
- Partner nations
- United StatesChinaTaiwan
In The Last Decade
Bir Bhanu
427 papers receiving 8.8k citations
Hit Papers
Peers
Comparison fields: 5 of 175
- Computer Vision and Pattern Recognition 6.6k
- Biomedical Engineering 2.1k
- Artificial Intelligence 1.7k
- Aerospace Engineering 1.6k
- Signal Processing 1.3k
Countries citing papers authored by Bir Bhanu
This map shows the geographic impact of Bir Bhanu'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 Bir Bhanu with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Bir Bhanu more than expected).
Fields of papers citing papers by Bir Bhanu
This network shows the impact of papers produced by Bir Bhanu. 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 Bir Bhanu. The network helps show where Bir Bhanu may publish in the future.
Co-authorship network of co-authors of Bir Bhanu
This figure shows the co-authorship network connecting the top 25 collaborators of Bir Bhanu. A scholar is included among the top collaborators of Bir Bhanu 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 Bir Bhanu. Bir Bhanu is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 0 | |
| 2 | 1 | |
| 3 | 5 | |
| 4 | 3 | |
| 5 | 2 | |
| 6 | 7 | |
| 7 | Feature Disentanglement to Aid Imaging Biomarker Characterization for Genetic Mutations. | 1 |
| 8 | 10 | |
| 9 | [Regular Paper] KnowPain: Automated System for Detecting Pain in Neonates from Videos | 1 |
| 10 | 37 | |
| 11 | MVPNets: Multi-viewing Path Deep Learning Neural Networks for Magnification Invariant Diagnosis in Breast Cancer. | 1 |
| 12 | 36 | |
| 13 | Integrating crowd simulation for pedestrian tracking in a multi-camera system | 6 |
| 14 | Face recognition in multi-camera surveillance videos using Dynamic Bayesian Network | 9 |
| 15 | Ear Biometrics, 3D. | 1 |
| 16 | Visual learning by evolutionary feature synthesis | 8 |
| 17 | Learning Composite Operators For Object Detection | 7 |
| 18 | 15 | |
| 19 | A framework for distributed sensing and control | 15 |
| 20 | Recognition of Occluded Objects. | 4 |
About Bir Bhanu
Bir Bhanu is a scholar working on Computer Vision and Pattern Recognition, Media Technology and Biophysics, having authored 445 papers that have together received 9.3k indexed citations. Recurring topics across this work include Video Surveillance and Tracking Methods (85 papers), Advanced Image and Video Retrieval Techniques (79 papers) and Advanced Vision and Imaging (48 papers). The work is most often cited by research in Computer Vision and Pattern Recognition (6.6k citations), Human-Computer Interaction (694 citations) and Signal Processing (1.3k citations). Bir Bhanu has collaborated with scholars based in United States, China and Taiwan. Frequent co-authors include Ju Han, Le An, Hui Chen, Mehran Kafai, Jing Peng, Songfan Yang, Xuejun Tan, Hui Chen, Xiaoli Zhou and Olivier Faugeras. Their work appears in journals such as ACS Nano, PLoS ONE and IEEE Transactions on Pattern Analysis and Machine 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.