Kshitij Khare

104 total papers · 845 total citations
51 papers, 446 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 446 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 Netherlands. Kshitij Khare's co-authors include James P. Hobert, Bala Rajaratnam, Sang‐Yun Oh, Malay Ghosh, Xuan Cao, George Michailidis, Zhihua Su, Saptarshi Chakraborty, Laurent Saloff‐Coste and Persi Diaconis 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 431 citations

Author Peers

Peers are selected by citation overlap in the author's most active subfields. citations · hero ref

Author						Papers	Cites
Kshitij Khare	282	184	64	30	22	51	446
Matthew A. Nunes	162 0.6×	184 1.0×	34 0.5×	12 0.4×	16 0.7×	27	445
Lihua Lei	213 0.8×	135 0.7×	59 0.9×	50 1.7×	9 0.4×	33	456
Osnat Stramer	232 0.8×	170 0.9×	22 0.3×	25 0.8×	5 0.2×	23	433
Minh‐Ngoc Tran	234 0.8×	220 1.2×	25 0.4×	11 0.4×	4 0.2×	39	404
Peng Zeng	203 0.7×	66 0.4×	70 1.1×	36 1.2×	10 0.5×	40	467
Yingxing Li	190 0.7×	75 0.4×	17 0.3×	18 0.6×	20 0.9×	33	411
Yannick Baraud	339 1.2×	141 0.8×	17 0.3×	50 1.7×	31 1.4×	20	412
Juhyun Park	166 0.6×	157 0.9×	31 0.5×	6 0.2×	6 0.3×	31	441
Moulinath Banerjee	301 1.1×	96 0.5×	16 0.3×	18 0.6×	5 0.2×	38	423
Vincent Rivoirard	172 0.6×	116 0.6×	91 1.4×	25 0.8×	105 4.8×	30	370

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

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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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