Vandana Bhatia
- Artificial Intelligence
- Physiology
- Molecular Biology
- Statistical and Nonlinear Physics top 10%
- Computer Vision and Pattern Recognition
- Co-authors
- Saurabh SharmaRinkle RaniSonia MalikShruti H. MehtaAmita GuptaSikhamani RajasekaranD G SapleRobert C. Bollinger
- Topics
- Complex Network Analysis Techniques (7 papers)Advanced Clustering Algorithms Research (6 papers)Advanced Graph Neural Networks (5 papers)
- Journals
- Expert Systems with ApplicationsJournal of the Neurological SciencesJournal of Polymer Science Part B Polymer Physics
- Partner nations
- IndiaUnited StatesSingapore
In The Last Decade
Vandana Bhatia
32 papers receiving 385 citations
Peers
Comparison fields: 5 of 113
- Artificial Intelligence 84
- Physiology 75
- Molecular Biology 66
- Statistical and Nonlinear Physics 47
- Computer Vision and Pattern Recognition 40
Countries citing papers authored by Vandana Bhatia
This map shows the geographic impact of Vandana Bhatia'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 Vandana Bhatia with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Vandana Bhatia more than expected).
Fields of papers citing papers by Vandana Bhatia
This network shows the impact of papers produced by Vandana Bhatia. 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 Vandana Bhatia. The network helps show where Vandana Bhatia may publish in the future.
Co-authorship network of co-authors of Vandana Bhatia
This figure shows the co-authorship network connecting the top 25 collaborators of Vandana Bhatia. A scholar is included among the top collaborators of Vandana Bhatia 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 Vandana Bhatia. Vandana Bhatia is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 1 | |
| 2 | 2 | |
| 3 | 7 | |
| 4 | 1 | |
| 5 | 1 | |
| 6 | 4 | |
| 7 | 5 | |
| 8 | 140 | |
| 9 | 0 | |
| 10 | 1 | |
| 11 | 24 | |
| 12 | 22 | |
| 13 | 2 | |
| 14 | 8 | |
| 15 | 14 | |
| 16 | 45 | |
| 17 | 1 | |
| 18 | 4 | |
| 19 | 1 | |
| 20 | Kinetics of Phosphate Sorption by Soils | 2 |
About Vandana Bhatia
Vandana Bhatia is a scholar working on Statistical and Nonlinear Physics, Artificial Intelligence and Reproductive Medicine, having authored 35 papers that have together received 405 indexed citations. Recurring topics across this work include Complex Network Analysis Techniques (7 papers), Advanced Clustering Algorithms Research (6 papers) and Advanced Graph Neural Networks (5 papers). The work is most often cited by research in Biological Psychiatry (17 citations), Statistical and Nonlinear Physics (47 citations) and Neurology (26 citations). Vandana Bhatia has collaborated with scholars based in India, United States and Singapore. Frequent co-authors include Saurabh Sharma, Rinkle Rani, Sonia Malik, Shruti H. Mehta, Amita Gupta, Sikhamani Rajasekaran, D G Saple, Robert C. Bollinger, Abhay Chowdhary and Priya Ranjan. Their work appears in journals such as Expert Systems with Applications, Journal of the Neurological Sciences and Journal of Polymer Science Part B Polymer Physics.
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.