Shubham Jain
- Computer Vision and Pattern Recognition top 5%
- Electrical and Electronic Engineering
- Artificial Intelligence
- Automotive Engineering top 10%
- Signal Processing top 10%
- Co-authors
- Marco GruteserYanzhi RenYingying ChenJanne LindqvistFan BaiCarla Fabiana ChiasseriniGorkem KarRamesh Govindan
- Topics
- Video Surveillance and Tracking Methods (8 papers)Indoor and Outdoor Localization Technologies (7 papers)Human Pose and Action Recognition (5 papers)
- Journals
- IEEE AccessIEEE Transactions on Vehicular TechnologyIEEE Transactions on Intelligent Transportation Systems
- Partner nations
- United StatesIndiaNetherlands
In The Last Decade
Shubham Jain
40 papers receiving 428 citations
Peers
Comparison fields: 5 of 70
- Computer Vision and Pattern Recognition 166
- Electrical and Electronic Engineering 142
- Artificial Intelligence 81
- Automotive Engineering 68
- Signal Processing 57
Countries citing papers authored by Shubham Jain
This map shows the geographic impact of Shubham Jain'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 Shubham Jain with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Shubham Jain more than expected).
Fields of papers citing papers by Shubham Jain
This network shows the impact of papers produced by Shubham Jain. 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 Shubham Jain. The network helps show where Shubham Jain may publish in the future.
Co-authorship network of co-authors of Shubham Jain
This figure shows the co-authorship network connecting the top 25 collaborators of Shubham Jain. A scholar is included among the top collaborators of Shubham Jain 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 Shubham Jain. Shubham Jain is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 2 | |
| 2 | 2 | |
| 3 | 0 | |
| 4 | 1 | |
| 5 | 3 | |
| 6 | 0 | |
| 7 | 10 | |
| 8 | 6 | |
| 9 | 27 | |
| 10 | 1 | |
| 11 | 1 | |
| 12 | 1 | |
| 13 | 10 | |
| 14 | 25 | |
| 15 | 2 | |
| 16 | 2 | |
| 17 | Reliability of Wearable Sensors to Detect Agitation in Patients with Dementia A Pilot Study | 0 |
| 18 | 2 | |
| 19 | 1 | |
| 20 | 57 |
About Shubham Jain
Shubham Jain is a scholar working on Human-Computer Interaction, Computer Vision and Pattern Recognition and Signal Processing, having authored 44 papers that have together received 437 indexed citations. Recurring topics across this work include Video Surveillance and Tracking Methods (8 papers), Indoor and Outdoor Localization Technologies (7 papers) and Human Pose and Action Recognition (5 papers). The work is most often cited by research in Computer Vision and Pattern Recognition (166 citations), Transportation (53 citations) and Human-Computer Interaction (34 citations). Shubham Jain has collaborated with scholars based in United States, India and Netherlands. Frequent co-authors include Marco Gruteser, Yanzhi Ren, Yingying Chen, Janne Lindqvist, Fan Bai, Carla Fabiana Chiasserini, Gorkem Kar, Ramesh Govindan, Phuc Nguyen and Kristin Dana. Their work appears in journals such as IEEE Access, IEEE Transactions on Vehicular Technology and IEEE Transactions on Intelligent Transportation 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.