Shreyas S. Shivakumar
- Plant Science top 10%
- Analytical Chemistry top 5%
- Computer Vision and Pattern Recognition top 10%
- Ecology
- Aerospace Engineering
- Co-authors
- Camillo J. TaylorVijay KumarChao QuJnaneshwar DasSteven W. ChenIan D. MillerAnthony CowleyTrey Smith
- Topics
- Robotics and Sensor-Based Localization (3 papers)Remote Sensing and LiDAR Applications (2 papers)Advanced Neural Network Applications (2 papers)
- Journals
- IEEE Robotics and Automation LettersPubMed2022 International Conference on Robotics and Automation (ICRA)
- Partner nations
- United States
In The Last Decade
Shreyas S. Shivakumar
7 papers receiving 388 citations
Hit Papers
Peers
Comparison fields: 5 of 66
- Plant Science 263
- Analytical Chemistry 110
- Computer Vision and Pattern Recognition 87
- Ecology 85
- Aerospace Engineering 68
Countries citing papers authored by Shreyas S. Shivakumar
This map shows the geographic impact of Shreyas S. Shivakumar'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 Shreyas S. Shivakumar with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Shreyas S. Shivakumar more than expected).
Fields of papers citing papers by Shreyas S. Shivakumar
This network shows the impact of papers produced by Shreyas S. Shivakumar. 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 Shreyas S. Shivakumar. The network helps show where Shreyas S. Shivakumar may publish in the future.
Co-authorship network of co-authors of Shreyas S. Shivakumar
This figure shows the co-authorship network connecting the top 25 collaborators of Shreyas S. Shivakumar. A scholar is included among the top collaborators of Shreyas S. Shivakumar 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 Shreyas S. Shivakumar. Shreyas S. Shivakumar 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 | 7 | |
| 3 | 11 | |
| 4 | 33 | |
| 5 | 2 | |
| 6 | 22 | |
| 7 | 0 | |
| 8 | Counting Apples and Oranges With Deep Learning: A Data-Driven Approachbreakdown → | 322 |
| 9 | 11 |
About Shreyas S. Shivakumar
Shreyas S. Shivakumar is a scholar working on Instrumentation, Computer Vision and Pattern Recognition and Geography, Planning and Development, having authored 9 papers that have together received 408 indexed citations. Recurring topics across this work include Robotics and Sensor-Based Localization (3 papers), Remote Sensing and LiDAR Applications (2 papers) and Advanced Neural Network Applications (2 papers). The work is most often cited by research in Analytical Chemistry (110 citations), Plant Science (263 citations) and Environmental Engineering (62 citations). Shreyas S. Shivakumar has collaborated with scholars based in United States. Frequent co-authors include Camillo J. Taylor, Vijay Kumar, Chao Qu, Jnaneshwar Das, Steven W. Chen, Ian D. Miller, Anthony Cowley, Trey Smith, Tolga Özaslan and Jennifer M. Wozencraft. Their work appears in journals such as IEEE Robotics and Automation Letters, PubMed and 2022 International Conference on Robotics and Automation (ICRA).
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.