Rajesh Ranganath
About
In The Last Decade
Rajesh Ranganath
59 papers receiving 2.7k citations
Hit Papers
Peers
Comparison fields: 5 of 175
- Artificial Intelligence 1.3k
- Computer Vision and Pattern Recognition 1.1k
- Signal Processing 260
- Cognitive Neuroscience 202
- Radiology, Nuclear Medicine and Imaging 177
Countries citing papers authored by Rajesh Ranganath
This map shows the geographic impact of Rajesh Ranganath'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 Rajesh Ranganath with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Rajesh Ranganath more than expected).
Fields of papers citing papers by Rajesh Ranganath
This network shows the impact of papers produced by Rajesh Ranganath. 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 Rajesh Ranganath. The network helps show where Rajesh Ranganath may publish in the future.
Co-authorship network of co-authors of Rajesh Ranganath
This figure shows the co-authorship network connecting the top 25 collaborators of Rajesh Ranganath. A scholar is included among the top collaborators of Rajesh Ranganath 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 Rajesh Ranganath. Rajesh Ranganath 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 | 0 | |
| 3 | 4 | |
| 4 | 3 | |
| 5 | 1 | |
| 6 | 2 | |
| 7 | General Control Functions for Causal Effect Estimation from IVs | 2 |
| 8 | 90 | |
| 9 | Reproducibility in Machine Learning for Health | 3 |
| 10 | Noisin: Unbiased Regularization for Recurrent Neural Networks | 1 |
| 11 | Max-margin learning with the Bayes factor | 1 |
| 12 | Variational Sequential Monte Carlo | 23 |
| 13 | Deep Survival Analysis: Nonparametrics and Missingness. | 6 |
| 14 | 21 | |
| 15 | Deep and Hierarchical Implicit Models. | 20 |
| 16 | Deep Exponential Families | 33 |
| 17 | The survival filter: joint survival analysis with a latent time series | 12 |
| 18 | The population posterior and Bayesian modeling on streams | 14 |
| 19 | Deterministic Annealing for Stochastic Variational Inference. | 1 |
| 20 | Bayesian Nonparametric Poisson Factorization for Recommendation Systems | 42 |
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.