Kshitij Khare

855 total citations
51 papers, 449 citations indexed

About

Kshitij Khare is a scholar working on Statistics and Probability, Artificial Intelligence and Genetics. According to data from OpenAlex, Kshitij Khare has authored 51 papers receiving a total of 449 indexed citations (citations by other indexed papers that have themselves been cited), including 35 papers in Statistics and Probability, 19 papers in Artificial Intelligence and 7 papers in Genetics. Recurrent topics in Kshitij Khare's work include Statistical Methods and Inference (29 papers), Bayesian Methods and Mixture Models (16 papers) and Markov Chains and Monte Carlo Methods (16 papers). Kshitij Khare is often cited by papers focused on Statistical Methods and Inference (29 papers), Bayesian Methods and Mixture Models (16 papers) and Markov Chains and Monte Carlo Methods (16 papers). Kshitij Khare collaborates with scholars based in United States, Colombia and Australia. Kshitij Khare's co-authors include James P. Hobert, Bala Rajaratnam, Sang‐Yun Oh, Malay Ghosh, Xuan Cao, George Michailidis, Zhihua Su, Saptarshi Chakraborty, Malay Ghosh and Laurent Saloff‐Coste and has published in prestigious journals such as Journal of the American Statistical Association, Journal of the Royal Statistical Society Series B (Statistical Methodology) and The Annals of Statistics.

In The Last Decade

Kshitij Khare

49 papers receiving 434 citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Kshitij Khare United States 13 283 186 64 30 22 51 449
Artin Armagan United States 6 202 0.7× 113 0.6× 54 0.8× 31 1.0× 6 0.3× 9 322
Yingli Qin Canada 6 348 1.2× 166 0.9× 77 1.2× 9 0.3× 14 0.6× 7 443
Zhao Ren United States 10 303 1.1× 150 0.8× 128 2.0× 74 2.5× 25 1.1× 25 529
Nengfeng Zhou United States 5 200 0.7× 141 0.8× 192 3.0× 34 1.1× 6 0.3× 6 536
Zuofeng Shang United States 11 185 0.7× 93 0.5× 32 0.5× 14 0.5× 20 0.9× 40 313
Minh‐Ngoc Tran Australia 10 236 0.8× 221 1.2× 25 0.4× 11 0.4× 4 0.2× 39 408
Yves Romain France 6 259 0.9× 97 0.5× 18 0.3× 13 0.4× 45 2.0× 16 393
Yannick Baraud France 10 322 1.1× 128 0.7× 16 0.3× 45 1.5× 26 1.2× 20 408
Qing Mai United States 12 176 0.6× 138 0.7× 62 1.0× 49 1.6× 11 0.5× 30 362

Countries citing papers authored by Kshitij Khare

Since Specialization
Citations

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

Fields of papers citing papers by Kshitij Khare

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Kshitij Khare

This figure shows the co-authorship network connecting the top 25 collaborators of Kshitij Khare. A scholar is included among the top collaborators of Kshitij Khare 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 Kshitij Khare. Kshitij Khare 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
1.
2.
Khare, Kshitij, et al.. (2022). Geometric ergodicity of Gibbs samplers for the Horseshoe and its regularized variants. Electronic Journal of Statistics. 16(1). 3 indexed citations
3.
Khare, Kshitij, et al.. (2022). A Bayesian Framework for Sparse Estimation in High-Dimensional Mixed Frequency Vector Autoregressive Models. Statistica Sinica. 1 indexed citations
4.
Khare, Kshitij, et al.. (2022). A generalized likelihood-based Bayesian approach for scalable joint regression and covariance selection in high dimensions. Statistics and Computing. 32(3). 4 indexed citations
5.
Chakraborty, Saptarshi, et al.. (2021). Estimating accuracy of the MCMC variance estimator: Asymptotic normality for batch means estimators. Statistics & Probability Letters. 183. 109337–109337. 3 indexed citations
6.
Vaziri, Sasha, Ken Porche, Alexander Dru, et al.. (2019). Reimbursement patterns for neurosurgery: Analysis of the NERVES survey results from 2011–2016. Clinical Neurology and Neurosurgery. 184. 105406–105406. 4 indexed citations
7.
Hobert, James P., et al.. (2019). Estimating the spectral gap of a trace-class Markov operator. Electronic Journal of Statistics. 13(1). 3 indexed citations
8.
Cao, Xuan, Kshitij Khare, & Malay Ghosh. (2019). High-Dimensional Posterior Consistency for Hierarchical Non-Local Priors in Regression. Bayesian Analysis. 15(1). 12 indexed citations
9.
Khare, Kshitij, et al.. (2018). High-Dimensional Posterior Consistency in Bayesian Vector Autoregressive Models. Journal of the American Statistical Association. 114(526). 735–748. 21 indexed citations
10.
Ali, Alnur, Kshitij Khare, Sang‐Yun Oh, & Bala Rajaratnam. (2017). Generalized pseudolikelihood methods for inverse covariance estimation. eScholarship (California Digital Library). 54. 280–288. 3 indexed citations
11.
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Karalkar, Nilesh B., Kshitij Khare, Robert W. Molt, & Steven A. Benner. (2017). Tautomeric equilibria of isoguanine and related purine analogs. Nucleosides Nucleotides & Nucleic Acids. 36(4). 256–274. 12 indexed citations
13.
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Shahani, Neelam, Supriya Swarnkar, Jenny Morgenweck, et al.. (2016). RasGRP1 promotes amphetamine-induced motor behavior through a Rhes interaction network (“Rhesactome”) in the striatum. Science Signaling. 9(454). ra111–ra111. 26 indexed citations
15.
Khare, Kshitij, et al.. (2014). Asymptotic expansion of the posterior density in high dimensional generalized linear models. Journal of Multivariate Analysis. 131. 126–148. 4 indexed citations
16.
Oh, Sang Min, et al.. (2014). Optimization Methods for Sparse Pseudo-Likelihood Graphical Model Selection. arXiv (Cornell University). 27. 667–675. 8 indexed citations
17.
Khare, Kshitij, Sang‐Yun Oh, & Bala Rajaratnam. (2014). A Convex Pseudolikelihood Framework for High Dimensional Partial Correlation Estimation with Convergence Guarantees. Journal of the Royal Statistical Society Series B (Statistical Methodology). 77(4). 803–825. 61 indexed citations
18.
Khare, Kshitij & Nabanita Mukherjee. (2013). Convergence analysis of some multivariate Markov chains using stochastic monotonicity. The Annals of Applied Probability. 23(2). 1 indexed citations
19.
Khare, Kshitij & James P. Hobert. (2012). Geometric ergodicity of the Gibbs sampler for Bayesian quantile regression. Journal of Multivariate Analysis. 112. 108–116. 23 indexed citations
20.
Diaconis, Persi, Kshitij Khare, & Laurent Saloff‐Coste. (2008). Gibbs Sampling, Exponential Families and Orthogonal Polynomials. Rejoinder.. Statistical Science. 196–200. 1 indexed citations

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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