B. Sridhar
- Computer Vision and Pattern Recognition top 5%
- Aerospace Engineering top 10%
- Plant Science
- Electrical and Electronic Engineering
- Water Science and Technology
- Co-authors
- Victor ChengA. V. PhatakP. K. MenonSanghoon SullTarun Kumar SoniA. Mallikarjuna PrasadB. HussienPrema Menon
- Topics
- Advanced Vision and Imaging (16 papers)Robotics and Sensor-Based Localization (15 papers)Robotic Path Planning Algorithms (7 papers)
- Journals
- IEEE Transactions on Robotics and AutomationIEEE Transactions on Aerospace and Electronic SystemsIEEE Control Systems
- Partner nations
- United StatesIndiaSouth Korea
In The Last Decade
B. Sridhar
29 papers receiving 342 citations
Peers
Comparison fields: 5 of 58
- Computer Vision and Pattern Recognition 145
- Aerospace Engineering 142
- Plant Science 130
- Electrical and Electronic Engineering 83
- Water Science and Technology 65
Countries citing papers authored by B. Sridhar
This map shows the geographic impact of B. Sridhar'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 B. Sridhar with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites B. Sridhar more than expected).
Fields of papers citing papers by B. Sridhar
This network shows the impact of papers produced by B. Sridhar. 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 B. Sridhar. The network helps show where B. Sridhar may publish in the future.
Co-authorship network of co-authors of B. Sridhar
This figure shows the co-authorship network connecting the top 25 collaborators of B. Sridhar. A scholar is included among the top collaborators of B. Sridhar 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 B. Sridhar. B. Sridhar 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 | 0 | |
| 3 | 4 | |
| 4 | 1 | |
| 5 | 11 | |
| 6 | 1 | |
| 7 | 151 | |
| 8 | 10 | |
| 9 | 3 | |
| 10 | 0 | |
| 11 | 3 | |
| 12 | 9 | |
| 13 | 3 | |
| 14 | 15 | |
| 15 | 3 | |
| 16 | 22 | |
| 17 | 15 | |
| 18 | 20 | |
| 19 | 18 | |
| 20 | 5 |
About B. Sridhar
B. Sridhar is a scholar working on Computer Vision and Pattern Recognition, Aerospace Engineering and Media Technology, having authored 33 papers that have together received 377 indexed citations. Recurring topics across this work include Advanced Vision and Imaging (16 papers), Robotics and Sensor-Based Localization (15 papers) and Robotic Path Planning Algorithms (7 papers). The work is most often cited by research in Computer Vision and Pattern Recognition (145 citations), Aerospace Engineering (142 citations) and Water Science and Technology (65 citations). B. Sridhar has collaborated with scholars based in United States, India and South Korea. Frequent co-authors include Victor Cheng, A. V. Phatak, P. K. Menon, Sanghoon Sull, Tarun Kumar Soni, A. Mallikarjuna Prasad, B. Hussien, Prema Menon, Gano Chatterji and S. Sekar. Their work appears in journals such as IEEE Transactions on Robotics and Automation, IEEE Transactions on Aerospace and Electronic Systems and IEEE Control 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.