K. Krishnamoorthy

4.2k total citations
125 papers, 2.8k citations indexed

About

K. Krishnamoorthy is a scholar working on Statistics and Probability, Statistics, Probability and Uncertainty and Artificial Intelligence. According to data from OpenAlex, K. Krishnamoorthy has authored 125 papers receiving a total of 2.8k indexed citations (citations by other indexed papers that have themselves been cited), including 105 papers in Statistics and Probability, 38 papers in Statistics, Probability and Uncertainty and 14 papers in Artificial Intelligence. Recurrent topics in K. Krishnamoorthy's work include Advanced Statistical Methods and Models (69 papers), Statistical Distribution Estimation and Applications (53 papers) and Statistical Methods and Bayesian Inference (39 papers). K. Krishnamoorthy is often cited by papers focused on Advanced Statistical Methods and Models (69 papers), Statistical Distribution Estimation and Applications (53 papers) and Statistical Methods and Bayesian Inference (39 papers). K. Krishnamoorthy collaborates with scholars based in United States, India and China. K. Krishnamoorthy's co-authors include Thomas Mathew, Lin Yin, Fei Lu, Shubhabrata Mukherjee, Jie Peng, Arjun K. Gupta, Sumona Mondal, Xiao Wang, Gurumurthy Ramachandran and Lili Tian and has published in prestigious journals such as SHILAP Revista de lepidopterología, Journal of the American Statistical Association and Technometrics.

In The Last Decade

K. Krishnamoorthy

116 papers receiving 2.7k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
K. Krishnamoorthy United States 28 1.6k 719 333 283 174 125 2.8k
Thomas Mathew United States 25 1.5k 0.9× 729 1.0× 469 1.4× 232 0.8× 98 0.6× 148 2.6k
Josef Schmee United States 25 975 0.6× 593 0.8× 370 1.1× 336 1.2× 179 1.0× 97 3.7k
Hari Iyer United States 23 765 0.5× 398 0.6× 214 0.6× 193 0.7× 189 1.1× 119 2.7k
George Casella United States 3 992 0.6× 428 0.6× 392 1.2× 638 2.3× 195 1.1× 4 3.9k
Arjun K. Gupta United States 16 1.0k 0.6× 318 0.4× 248 0.7× 442 1.6× 172 1.0× 97 1.9k
S. Kocherlakota Canada 16 1.3k 0.8× 399 0.6× 355 1.1× 609 2.2× 184 1.1× 48 3.1k
Irwin Guttman Canada 27 1.3k 0.8× 725 1.0× 397 1.2× 415 1.5× 85 0.5× 150 2.6k
David Cox United Kingdom 14 1.2k 0.7× 298 0.4× 267 0.8× 344 1.2× 416 2.4× 30 3.2k
C. D. Lai New Zealand 21 1.4k 0.9× 1.1k 1.5× 315 0.9× 261 0.9× 270 1.6× 77 2.4k
A. Hald Denmark 20 884 0.5× 605 0.8× 326 1.0× 303 1.1× 115 0.7× 54 3.4k

Countries citing papers authored by K. Krishnamoorthy

Since Specialization
Citations

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

Fields of papers citing papers by K. Krishnamoorthy

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of K. Krishnamoorthy

This figure shows the co-authorship network connecting the top 25 collaborators of K. Krishnamoorthy. A scholar is included among the top collaborators of K. Krishnamoorthy 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 K. Krishnamoorthy. K. Krishnamoorthy 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.
Krishnamoorthy, K., et al.. (2023). Confidence intervals for a ratio of percentiles of location-scale distributions. Journal of Statistical Planning and Inference. 229. 106089–106089.
2.
Krishnamoorthy, K., et al.. (2023). Confidence estimation based on data from independent studies. Statistical Methods in Medical Research. 33(1). 42–60.
3.
Krishnamoorthy, K., et al.. (2023). Confidence intervals and prediction intervals for two-parameter negative binomial distributions. Journal of Applied Statistics. 51(12). 2420–2435.
4.
Krishnamoorthy, K., et al.. (2022). Combining independent tests for a common parameter of several continuous distributions: a new test and power comparisons. Communications in Statistics - Simulation and Computation. 53(4). 1837–1856. 1 indexed citations
5.
Krishnamoorthy, K., et al.. (2022). Statistical Intervals for Maxwell Distributions. Journal of Statistical Theory and Practice. 16(3).
6.
Krishnamoorthy, K., et al.. (2021). Confidence intervals, prediction intervals and tolerance intervals for negative binomial distributions. Statistical Papers. 63(3). 795–820. 1 indexed citations
7.
Krishnamoorthy, K., et al.. (2020). A method for computing tolerance intervals for a location-scale family of distributions. Computational Statistics. 36(2). 1065–1092. 4 indexed citations
8.
Krishnamoorthy, K., et al.. (2018). Confidence intervals for the mean and a percentile based on zero-inflated lognormal data. Journal of Statistical Computation and Simulation. 88(8). 1499–1514. 28 indexed citations
9.
Krishnamoorthy, K., et al.. (2011). A Simple Approximate Procedure for Constructing Binomial and Poisson Tolerance Intervals. Communication in Statistics- Theory and Methods. 40(12). 2243–2258. 16 indexed citations
10.
Krishnamoorthy, K., et al.. (2010). Tolerance Intervals for the Distribution of the Difference Between Two Independent Normal Random Variables. Communication in Statistics- Theory and Methods. 40(1). 117–129. 11 indexed citations
11.
Krishnamoorthy, K. & Thomas Mathew. (2008). Statistical Tolerance Regions: Theory, Applications, and Computation. Wiley series in probability and statistics. 236 indexed citations
12.
Krishnamoorthy, K. & Jie Peng. (2007). Some Properties of the Exact and Score Methods for Binomial Proportion and Sample Size Calculation. Communications in Statistics - Simulation and Computation. 36(6). 1171–1186. 22 indexed citations
13.
Krishnamoorthy, K., Thomas Mathew, & Gurumurthy Ramachandran. (2006). Generalized P-Values and Confidence Intervals: A Novel Approach for Analyzing Lognormally Distributed Exposure Data. Journal of Occupational and Environmental Hygiene. 3(11). 642–650. 31 indexed citations
14.
Krishnamoorthy, K., et al.. (2005). On combining correlated estimators of the common mean of a multivariate normal distribution. Journal of Statistical Computation and Simulation. 75(5). 333–345. 4 indexed citations
15.
Krishnamoorthy, K., et al.. (2005). Comparison Between Two Quantiles: The Normal and Exponential Cases. Communications in Statistics - Simulation and Computation. 34(2). 243–252. 16 indexed citations
16.
Krishnamoorthy, K., et al.. (1997). Combining independent normal Sample means by weighting With their standard errors. Journal of Statistical Computation and Simulation. 58(2). 145–153. 15 indexed citations
17.
Johnson, Darren & K. Krishnamoorthy. (1996). Combining Independent Studies in a Calibration Problem. Journal of the American Statistical Association. 91(436). 1707–1715. 13 indexed citations
18.
Krishnamoorthy, K.. (1991). Estimation of normal covariance and precision matrices with incomplete data. Communication in Statistics- Theory and Methods. 20(3). 757–770. 4 indexed citations
19.
Krishnamoorthy, K. & Vijay K. Rohatgi. (1989). Estimation of the common mean of a bivariate normal distribution. Journal of Statistical Computation and Simulation. 31(3). 187–194. 2 indexed citations
20.
Krishnamoorthy, K. & Vijay K. Rohatgi. (1988). Minimum variance unbiased estmation in some nonregulr families. Communication in Statistics- Theory and Methods. 17(11). 3757–3765. 4 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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