Siddharth Swaroop
About
In The Last Decade
Siddharth Swaroop
10 papers receiving 100 citations
Peers
Comparison fields: 5 of 52
- Artificial Intelligence 38
- Plant Science 31
- Insect Science 21
- Public Health, Environmental and Occupational Health 16
- Molecular Biology 14
Countries citing papers authored by Siddharth Swaroop
This map shows the geographic impact of Siddharth Swaroop'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 Siddharth Swaroop with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Siddharth Swaroop more than expected).
Fields of papers citing papers by Siddharth Swaroop
This network shows the impact of papers produced by Siddharth Swaroop. 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 Siddharth Swaroop. The network helps show where Siddharth Swaroop may publish in the future.
Co-authorship network of co-authors of Siddharth Swaroop
This figure shows the co-authorship network connecting the top 25 collaborators of Siddharth Swaroop. A scholar is included among the top collaborators of Siddharth Swaroop 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 Siddharth Swaroop. Siddharth Swaroop is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 5 | |
| 2 | 2 | |
| 3 | 0 | |
| 4 | 15 | |
| 5 | 1 | |
| 6 | Collapsed Variational Bounds for Bayesian Neural Networks | 2 |
| 7 | Efficient Low Rank Gaussian Variational Inference for Neural Networks | 5 |
| 8 | Continual Deep Learning by Functional Regularisation of Memorable Past | 6 |
| 9 | Practical Deep Learning with Bayesian Principles | 15 |
| 10 | Statistical methods in malaria eradication. | 50 |
| 11 | Cholera studies. 2. World incidence. | 6 |
| 12 | Endemicity of cholera in India. | 10 |
| 13 | Endemicity of cholera in relation to fairs and festivals in India. | 1 |
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.