Pratibha Vellanki
- Artificial Intelligence
- Computational Theory and Mathematics top 5%
- Cognitive Neuroscience
- Materials Chemistry
- Mechanical Engineering
- Co-authors
- Svetha VenkateshSunil GuptaSantu RanaStewart GreenhillThi DuongDennis W. MooreAngelika AndersonDavid Trembath
- Topics
- Autism Spectrum Disorder Research (4 papers)Advanced Multi-Objective Optimization Algorithms (3 papers)Evolutionary Algorithms and Applications (2 papers)
- Cited by
- Computational Theory and MathematicsCognitive NeuroscienceStatistics, Probability and Uncertainty
- Partner nations
- AustraliaUnited Kingdom
In The Last Decade
Pratibha Vellanki
10 papers receiving 417 citations
Hit Papers
Peers
Comparison fields: 5 of 102
- Artificial Intelligence 80
- Computational Theory and Mathematics 79
- Cognitive Neuroscience 70
- Materials Chemistry 63
- Mechanical Engineering 52
Countries citing papers authored by Pratibha Vellanki
This map shows the geographic impact of Pratibha Vellanki'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 Pratibha Vellanki with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Pratibha Vellanki more than expected).
Fields of papers citing papers by Pratibha Vellanki
This network shows the impact of papers produced by Pratibha Vellanki. 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 Pratibha Vellanki. The network helps show where Pratibha Vellanki may publish in the future.
Co-authorship network of co-authors of Pratibha Vellanki
This figure shows the co-authorship network connecting the top 25 collaborators of Pratibha Vellanki. A scholar is included among the top collaborators of Pratibha Vellanki 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 Pratibha Vellanki. Pratibha Vellanki is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | Bayesian Optimization for Adaptive Experimental Design: A Reviewbreakdown → | 313 |
| 2 | 1 | |
| 3 | 1 | |
| 4 | 25 | |
| 5 | Process-constrained batch Bayesian optimisation | 5 |
| 6 | 58 | |
| 7 | 15 | |
| 8 | 5 | |
| 9 | 1 | |
| 10 | 5 |
About Pratibha Vellanki
Pratibha Vellanki is a scholar working on Management Science and Operations Research, Occupational Therapy and Cognitive Neuroscience, having authored 10 papers that have together received 429 indexed citations. Recurring topics across this work include Autism Spectrum Disorder Research (4 papers), Advanced Multi-Objective Optimization Algorithms (3 papers) and Evolutionary Algorithms and Applications (2 papers). The work is most often cited by research in Computational Theory and Mathematics (79 citations), Cognitive Neuroscience (70 citations) and Statistics, Probability and Uncertainty (23 citations). Pratibha Vellanki has collaborated with scholars based in Australia and United Kingdom. Frequent co-authors include Svetha Venkatesh, Sunil Gupta, Santu Rana, Stewart Greenhill, Thi Duong, Dennis W. Moore, Angelika Anderson, David Trembath, Wendy Marshall and Joanna Granich. Their work appears in journals such as Journal of Child Psychology and Psychiatry, IEEE Access and JOM.
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.