Ranjini Natarajan

2.1k total citations · 1 hit paper
23 papers, 1.6k citations indexed

About

Ranjini Natarajan is a scholar working on Statistics and Probability, Artificial Intelligence and Management Science and Operations Research. According to data from OpenAlex, Ranjini Natarajan has authored 23 papers receiving a total of 1.6k indexed citations (citations by other indexed papers that have themselves been cited), including 16 papers in Statistics and Probability, 5 papers in Artificial Intelligence and 4 papers in Management Science and Operations Research. Recurrent topics in Ranjini Natarajan's work include Statistical Methods and Bayesian Inference (13 papers), Statistical Methods and Inference (6 papers) and Statistical Methods in Clinical Trials (4 papers). Ranjini Natarajan is often cited by papers focused on Statistical Methods and Bayesian Inference (13 papers), Statistical Methods and Inference (6 papers) and Statistical Methods in Clinical Trials (4 papers). Ranjini Natarajan collaborates with scholars based in United States. Ranjini Natarajan's co-authors include Jane Pendergast, Ramon C. Littell, Robert E. Kass, Charles E. McCulloch, Alan Agresti, Nicholas S. Hill, Joshua O. Benditt, Thomas J. Meyer, Mark R. Pressman and Richard P. Millman and has published in prestigious journals such as Journal of the American Statistical Association, American Journal of Respiratory and Critical Care Medicine and Biometrics.

In The Last Decade

Ranjini Natarajan

23 papers receiving 1.5k citations

Hit Papers

Modelling covariance structure in the analysis of repeate... 2000 2026 2008 2017 2000 250 500 750

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Ranjini Natarajan United States 17 408 156 142 140 135 23 1.6k
Sibylle Sturtz Germany 10 403 1.0× 81 0.5× 150 1.1× 202 1.4× 117 0.9× 18 2.2k
Haibo Zhou United States 36 856 2.1× 161 1.0× 137 1.0× 138 1.0× 292 2.2× 166 3.6k
Andrew Gelman United States 5 348 0.9× 54 0.3× 163 1.1× 162 1.2× 122 0.9× 8 2.2k
Potter C. Chang United States 18 342 0.8× 41 0.3× 170 1.2× 131 0.9× 246 1.8× 35 3.4k
M. J. Crowder United Kingdom 18 1.1k 2.7× 35 0.2× 215 1.5× 160 1.1× 93 0.7× 42 2.9k
Jane Pendergast United States 26 230 0.6× 170 1.1× 50 0.4× 340 2.4× 376 2.8× 110 3.2k
Robert Schall South Africa 26 671 1.6× 42 0.3× 105 0.7× 221 1.6× 429 3.2× 133 3.6k
Dorothy A. Anderson Australia 12 481 1.2× 36 0.2× 198 1.4× 135 1.0× 73 0.5× 16 1.7k
Torben Martinussen Denmark 38 1.1k 2.6× 86 0.6× 120 0.8× 329 2.4× 382 2.8× 138 4.5k
Ding‐Geng Chen United States 27 366 0.9× 22 0.1× 116 0.8× 136 1.0× 183 1.4× 199 2.5k

Countries citing papers authored by Ranjini Natarajan

Since Specialization
Citations

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

Fields of papers citing papers by Ranjini Natarajan

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Ranjini Natarajan

This figure shows the co-authorship network connecting the top 25 collaborators of Ranjini Natarajan. A scholar is included among the top collaborators of Ranjini Natarajan 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 Ranjini Natarajan. Ranjini Natarajan 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.
Kass, Robert E. & Ranjini Natarajan. (2006). A default conjugate prior for variance components in generalized linear mixed models (comment on article by Browne and Draper). Bayesian Analysis. 1(3). 53 indexed citations
2.
Agresti, Alan & Ranjini Natarajan. (2001). Modeling Clustered Ordered Categorical Data: A Survey. International Statistical Review. 69(3). 345–371. 64 indexed citations
3.
Agresti, Alan & Ranjini Natarajan. (2001). Modeling Clustered Ordered Categorical Data: A Survey. International Statistical Review. 69(3). 345–345. 4 indexed citations
4.
Natarajan, Ranjini. (2001). On the propriety of a modified Jeffreys's prior for variance components in binary random effects models. Statistics & Probability Letters. 51(4). 409–414. 1 indexed citations
5.
Natarajan, Ranjini & Robert E. Kass. (2000). Reference Bayesian Methods for Generalized Linear Mixed Models. Journal of the American Statistical Association. 95(449). 227–237. 142 indexed citations
6.
Littell, Ramon C., Jane Pendergast, & Ranjini Natarajan. (2000). Modelling covariance structure in the analysis of repeated measures data. Statistics in Medicine. 19(13). 1793–1819. 783 indexed citations breakdown →
7.
Stein, Michael D., Lucy Hanna, Ranjini Natarajan, et al.. (2000). Alcohol use patterns predict high-risk HIV behaviors among active injection drug users☆☆Presented at the 20th Annual Meeting of the Society of General Internal Medicine, Chicago, IL, USA, April 1998.. Journal of Substance Abuse Treatment. 18(4). 359–363. 79 indexed citations
8.
Natarajan, Ranjini, Charles E. McCulloch, & Nicholas M. Kiefer. (2000). A Monte Carlo EM method for estimating multinomial probit models. Computational Statistics & Data Analysis. 34(1). 33–50. 16 indexed citations
9.
Littell, Ramon C., Jane Pendergast, & Ranjini Natarajan. (2000). Modelling covariance structure in the analysis of repeated measures data. Statistics in Medicine. 19(13). 1793–1819. 28 indexed citations
10.
Natarajan, Ranjini & Robert E. Kass. (2000). Reference Bayesian Methods for Generalized Linear Mixed Models. Journal of the American Statistical Association. 95(449). 227–227. 27 indexed citations
11.
Natarajan, Ranjini & Charles E. McCulloch. (1999). Modeling Heterogeneity in Nest Survival Data. Biometrics. 55(2). 553–559. 31 indexed citations
12.
Natarajan, Ranjini, et al.. (1999). Colostomy Closure: Impact of Preoperative Risk Factors on Morbidity. The American Surgeon. 65(3). 266–269. 23 indexed citations
13.
Steele, Dale W., et al.. (1998). Pulsus Paradoxus: An Objective Measure of Severity in Croup. American Journal of Respiratory and Critical Care Medicine. 157(1). 331–334. 24 indexed citations
14.
Natarajan, Ranjini & Charles E. McCulloch. (1998). Gibbs Sampling with Diffuse Proper Priors: A Valid Approach to Data-Driven Inference?. Journal of Computational and Graphical Statistics. 7(3). 267–277. 65 indexed citations
15.
Meyer, Thomas J., Mark R. Pressman, Joshua O. Benditt, et al.. (1997). Air Leaking Through the Mouth During Nocturnal Nasal Ventilation: Effect on Sleep Quality. SLEEP. 20(7). 561–569. 92 indexed citations
16.
Natarajan, Ranjini, Bruce W. Turnbull, Elizabeth H. Slate, & Larry Clark. (1996). A computer program for sample size and power calculations in the design of multi-arm and factorial clinical trials with survival time endpoints. Computer Methods and Programs in Biomedicine. 49(2). 137–147. 7 indexed citations
17.
Natarajan, Ranjini & Charles E. McCulloch. (1995). A note on the existence of the posterior distribution for a class of mixed models for binomial responses. Biometrika. 82(3). 639–643. 51 indexed citations
18.
Natarajan, Ranjini, Charles E. McCulloch, & Nicholas M. Kiefer. (1995). Maximum likelihood for the multinomial probit model. eCommons (Cornell University). 20 indexed citations
19.
Natarajan, Ranjini, B. W. Turnbull, & Elizabeth H. Slate. (1995). Chi-square Approximations in Unbalanced Analysis of Variance. eCommons (Cornell University). 1 indexed citations
20.
Natarajan, Ranjini, et al.. (1994). A computer program for the statistical analysis of repeated event data using a mixed effects regression model. Computer Methods and Programs in Biomedicine. 42(4). 283–294. 2 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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