Bharat Singh
- Computer Vision and Pattern Recognition top 1%
- Artificial Intelligence top 5%
- Aerospace Engineering top 10%
- Media Technology top 5%
- Industrial and Manufacturing Engineering top 5%
- Co-authors
- Larry S. DavisM. G. K. JonesTim K. MarksOncel TuzelMing ShaoO. P. VyasMahyar NajibiNavaneeth Bodla
- Topics
- Machine Learning and Data Classification (6 papers)Advanced Neural Network Applications (5 papers)Face and Expression Recognition (5 papers)
- Journals
- SHILAP Revista de lepidopterologíaIEEE Transactions on MultimediaJournal of Intelligent Information Systems
- Partner nations
- IndiaUnited StatesGermany
In The Last Decade
Bharat Singh
19 papers receiving 1.1k citations
Hit Papers
Peers
Comparison fields: 5 of 117
- Computer Vision and Pattern Recognition 951
- Artificial Intelligence 370
- Aerospace Engineering 131
- Media Technology 102
- Industrial and Manufacturing Engineering 71
Countries citing papers authored by Bharat Singh
This map shows the geographic impact of Bharat Singh'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 Bharat Singh with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Bharat Singh more than expected).
Fields of papers citing papers by Bharat Singh
This network shows the impact of papers produced by Bharat Singh. 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 Bharat Singh. The network helps show where Bharat Singh may publish in the future.
Co-authorship network of co-authors of Bharat Singh
This figure shows the co-authorship network connecting the top 25 collaborators of Bharat Singh. A scholar is included among the top collaborators of Bharat Singh 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 Bharat Singh. Bharat Singh 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 | 12 | |
| 3 | 29 | |
| 4 | 2 | |
| 5 | 8 | |
| 6 | Soft Sampling for Robust Object Detection. | 1 |
| 7 | 38 | |
| 8 | An Analysis of Scale Invariance in Object Detection - SNIPbreakdown → | 597 |
| 9 | 25 | |
| 10 | Improving Object Detection With One Line of Code. | 60 |
| 11 | 4 | |
| 12 | 14 | |
| 13 | 24 | |
| 14 | 1 | |
| 15 | A Multi-stream Bi-directional Recurrent Neural Network for Fine-Grained Action Detectionbreakdown → | 281 |
| 16 | 6 | |
| 17 | 9 | |
| 18 | 63 | |
| 19 | 2 | |
| 20 | 1 |
About Bharat Singh
Bharat Singh is a scholar working on Computer Vision and Pattern Recognition, Artificial Intelligence and Computer Graphics and Computer-Aided Design, having authored 21 papers that have together received 1.2k indexed citations. Recurring topics across this work include Machine Learning and Data Classification (6 papers), Advanced Neural Network Applications (5 papers) and Face and Expression Recognition (5 papers). The work is most often cited by research in Computer Vision and Pattern Recognition (951 citations), Media Technology (102 citations) and Artificial Intelligence (370 citations). Bharat Singh has collaborated with scholars based in India, United States and Germany. Frequent co-authors include Larry S. Davis, M. G. K. Jones, Tim K. Marks, Oncel Tuzel, Ming Shao, O. P. Vyas, Mahyar Najibi, Navaneeth Bodla, Rama Chellappa and Carlos D. Castillo. Their work appears in journals such as SHILAP Revista de lepidopterología, IEEE Transactions on Multimedia and Journal of Intelligent Information Systems.
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.