Vinayak Rao

632 total citations
22 papers, 179 citations indexed

About

Vinayak Rao is a scholar working on Artificial Intelligence, Statistics and Probability and Applied Mathematics. According to data from OpenAlex, Vinayak Rao has authored 22 papers receiving a total of 179 indexed citations (citations by other indexed papers that have themselves been cited), including 16 papers in Artificial Intelligence, 10 papers in Statistics and Probability and 5 papers in Applied Mathematics. Recurrent topics in Vinayak Rao's work include Bayesian Methods and Mixture Models (12 papers), Markov Chains and Monte Carlo Methods (7 papers) and Gaussian Processes and Bayesian Inference (6 papers). Vinayak Rao is often cited by papers focused on Bayesian Methods and Mixture Models (12 papers), Markov Chains and Monte Carlo Methods (7 papers) and Gaussian Processes and Bayesian Inference (6 papers). Vinayak Rao collaborates with scholars based in United States, United Kingdom and Australia. Vinayak Rao's co-authors include Yee Whye Teh, Jennifer Neville, David B. Dunson, Lawrence Carin, Xi Tan, Wenzhao Lian, Lizhen Lin, Ricardo Henao, Joseph E. Lucas and Alan E. Gelfand and has published in prestigious journals such as Biometrika, Journal of Machine Learning Research and Computer Methods and Programs in Biomedicine.

In The Last Decade

Vinayak Rao

22 papers receiving 170 citations

Peers

Vinayak Rao
Comparison fields: 5 of 58
  • Artificial Intelligence 103
  • Statistics and Probability 63
  • Molecular Biology 29
  • Applied Mathematics 27
  • Statistical and Nonlinear Physics 18
Replace Alexandre G. Patriota with:
Alexandre G. Patriota Brazil
Keisuke Yamazaki Japan
Alain Célisse France
Hannes Sieling Germany
Yuanyuan Shen China
Tingni Sun United States
Will Wei Sun United States
Vivien Seguy Japan
Michalis K. Titsias United Kingdom
Vincent Lemaire France
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Citations per field, relative to Vinayak Rao
Vinayak Rao · 1×
Citations per year, relative to Vinayak Rao
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Countries citing papers authored by Vinayak Rao

Since Specialization
Citations

This map shows the geographic impact of Vinayak Rao'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 Vinayak Rao with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Vinayak Rao more than expected).

Fields of papers citing papers by Vinayak Rao

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Vinayak Rao. 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 Vinayak Rao. The network helps show where Vinayak Rao may publish in the future.

Co-authorship network of co-authors of Vinayak Rao

This figure shows the co-authorship network connecting the top 25 collaborators of Vinayak Rao. A scholar is included among the top collaborators of Vinayak Rao 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 Vinayak Rao. Vinayak Rao is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
# Work Indexed citations
1 1
2 4
3
A Stein–Papangelou Goodness-of-Fit Test for Point Processes
2
4 2
5
Goodness-of-Fit Testing for Discrete Distributions via Stein Discrepancy
11
6
The Indian Buffet Hawkes Process to Model Evolving Latent Influences
2
7
Nested CRP with Hawkes-Gaussian Processes
2
8 2
9
Decoupling Homophily and Reciprocity with Latent Space Network Models.
5
10
Collapsed variational Bayes for Markov jump processes
1
11
Content-based modeling of reciprocal relationships using Hawkes and Gaussian processes
6
12 7
13
Markov-modulated marked Poisson processes for check-in data
7
14
Modeling Correlated Arrival Events with Latent Semi-Markov Processes
5
15
Supplementary material for Dependent Normalized Random Measures
1
16
MCMC for continuous-time discrete-state systems
11
17
Repulsive Mixtures
3
18 48
19
Gaussian process modulated renewal processes
17
20
Spatial Normalized Gamma Processes
29

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.

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