Behjat Siddiquie
- Computer Vision and Pattern Recognition top 2%
- Artificial Intelligence top 5%
- Media Technology top 5%
- Public Health, Environmental and Occupational Health
- Signal Processing top 10%
- Co-authors
- Larry S. DavisRogério FerisAjay DivakaranHarpreet SawhneyAbhinav GuptaSharath PankantiJames PettersonLisa M. Brown
- Topics
- Advanced Image and Video Retrieval Techniques (9 papers)Video Surveillance and Tracking Methods (7 papers)Music and Audio Processing (5 papers)
- Journals
- International Journal of Computer VisionIEEE Transactions on MultimediaJournal of Diabetes Science and Technology
- Partner nations
- United StatesAustraliaIndia
In The Last Decade
Behjat Siddiquie
22 papers receiving 754 citations
Peers
Comparison fields: 5 of 88
- Computer Vision and Pattern Recognition 560
- Artificial Intelligence 248
- Media Technology 74
- Public Health, Environmental and Occupational Health 60
- Signal Processing 55
Countries citing papers authored by Behjat Siddiquie
This map shows the geographic impact of Behjat Siddiquie'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 Behjat Siddiquie with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Behjat Siddiquie more than expected).
Fields of papers citing papers by Behjat Siddiquie
This network shows the impact of papers produced by Behjat Siddiquie. 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 Behjat Siddiquie. The network helps show where Behjat Siddiquie may publish in the future.
Co-authorship network of co-authors of Behjat Siddiquie
This figure shows the co-authorship network connecting the top 25 collaborators of Behjat Siddiquie. A scholar is included among the top collaborators of Behjat Siddiquie 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 Behjat Siddiquie. Behjat Siddiquie is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 10 | |
| 2 | 28 | |
| 3 | 34 | |
| 4 | 93 | |
| 5 | 4 | |
| 6 | 27 | |
| 7 | 15 | |
| 8 | 17 | |
| 9 | 25 | |
| 10 | Unsupervised Model Selection for View-Invariant Object Detection in Surveillance Environments | 2 |
| 11 | 11 | |
| 12 | 3 | |
| 13 | 210 | |
| 14 | 23 | |
| 15 | 32 | |
| 16 | 91 | |
| 17 | 51 | |
| 18 | 36 | |
| 19 | 22 | |
| 20 | 38 |
About Behjat Siddiquie
Behjat Siddiquie is a scholar working on Computer Vision and Pattern Recognition, Signal Processing and Artificial Intelligence, having authored 22 papers that have together received 799 indexed citations. Recurring topics across this work include Advanced Image and Video Retrieval Techniques (9 papers), Video Surveillance and Tracking Methods (7 papers) and Music and Audio Processing (5 papers). The work is most often cited by research in Computer Vision and Pattern Recognition (560 citations), Media Technology (74 citations) and Artificial Intelligence (248 citations). Behjat Siddiquie has collaborated with scholars based in United States, Australia and India. Frequent co-authors include Larry S. Davis, Rogério Feris, Ajay Divakaran, Harpreet Sawhney, Abhinav Gupta, Sharath Pankanti, James Petterson, Lisa M. Brown, Weiyu Zhang and Qian Yu. Their work appears in journals such as International Journal of Computer Vision, IEEE Transactions on Multimedia and Journal of Diabetes Science and Technology.
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.