Shrihari Vasudevan
- Aerospace Engineering top 5%
- Computer Vision and Pattern Recognition top 5%
- Artificial Intelligence top 10%
- Control and Systems Engineering top 10%
- Environmental Engineering top 10%
- Co-authors
- Roland SiegwartHugh Durrant‐WhyteEric NettletonFábio RamosViet NguyenStefan GächterGanapasam SudhandiranChristopher Brunner
- Topics
- Robotics and Sensor-Based Localization (16 papers)Advanced Image and Video Retrieval Techniques (12 papers)Gaussian Processes and Bayesian Inference (11 papers)
- Partner nations
- AustraliaIndiaUnited States
In The Last Decade
Shrihari Vasudevan
36 papers receiving 658 citations
Peers
Comparison fields: 5 of 107
- Aerospace Engineering 350
- Computer Vision and Pattern Recognition 316
- Artificial Intelligence 191
- Control and Systems Engineering 96
- Environmental Engineering 88
Countries citing papers authored by Shrihari Vasudevan
This map shows the geographic impact of Shrihari Vasudevan'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 Shrihari Vasudevan with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Shrihari Vasudevan more than expected).
Fields of papers citing papers by Shrihari Vasudevan
This network shows the impact of papers produced by Shrihari Vasudevan. 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 Shrihari Vasudevan. The network helps show where Shrihari Vasudevan may publish in the future.
Co-authorship network of co-authors of Shrihari Vasudevan
This figure shows the co-authorship network connecting the top 25 collaborators of Shrihari Vasudevan. A scholar is included among the top collaborators of Shrihari Vasudevan 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 Shrihari Vasudevan. Shrihari Vasudevan 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 | 1 | |
| 3 | 2 | |
| 4 | 3 | |
| 5 | 1 | |
| 6 | 79 | |
| 7 | 2 | |
| 8 | 21 | |
| 9 | 17 | |
| 10 | 0 | |
| 11 | 56 | |
| 12 | 19 | |
| 13 | 3 | |
| 14 | 136 | |
| 15 | 71 | |
| 16 | 1 | |
| 17 | 2 | |
| 18 | 162 | |
| 19 | 1 | |
| 20 | 9 |
About Shrihari Vasudevan
Shrihari Vasudevan is a scholar working on Geography, Planning and Development, Computer Vision and Pattern Recognition and Aerospace Engineering, having authored 39 papers that have together received 706 indexed citations. Recurring topics across this work include Robotics and Sensor-Based Localization (16 papers), Advanced Image and Video Retrieval Techniques (12 papers) and Gaussian Processes and Bayesian Inference (11 papers). The work is most often cited by research in Computer Vision and Pattern Recognition (316 citations), Aerospace Engineering (350 citations) and Geology (50 citations). Shrihari Vasudevan has collaborated with scholars based in Australia, India and United States. Frequent co-authors include Roland Siegwart, Hugh Durrant‐Whyte, Eric Nettleton, Fábio Ramos, Viet Nguyen, Stefan Gächter, Ganapasam Sudhandiran, Christopher Brunner, Bertrand Douillard and Sanjiv Singh. Their work appears in journals such as Neuroscience, Robotics and Autonomous Systems and IEEE Robotics & Automation Magazine.
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.