Daya K. Nagar

2.0k total citations · 1 hit paper
88 papers, 726 citations indexed

About

Daya K. Nagar is a scholar working on Statistics and Probability, Artificial Intelligence and Applied Mathematics. According to data from OpenAlex, Daya K. Nagar has authored 88 papers receiving a total of 726 indexed citations (citations by other indexed papers that have themselves been cited), including 61 papers in Statistics and Probability, 34 papers in Artificial Intelligence and 21 papers in Applied Mathematics. Recurrent topics in Daya K. Nagar's work include Statistical Distribution Estimation and Applications (40 papers), Bayesian Methods and Mixture Models (34 papers) and Advanced Statistical Methods and Models (25 papers). Daya K. Nagar is often cited by papers focused on Statistical Distribution Estimation and Applications (40 papers), Bayesian Methods and Mixture Models (34 papers) and Advanced Statistical Methods and Models (25 papers). Daya K. Nagar collaborates with scholars based in Colombia, United States and United Kingdom. Daya K. Nagar's co-authors include Arjun K. Gupta, Arjun K. Gupta, Saralees Nadarajah, ‎M‎ohammad Arashi, A. K. Gupta, Jie Chen, Rajesh Bandekar, Bruce E. Johnson, José Ángel Pérez‐Álvarez and Xinping Cui and has published in prestigious journals such as SHILAP Revista de lepidopterología, Applied Mathematics and Computation and Computers & Mathematics with Applications.

In The Last Decade

Daya K. Nagar

76 papers receiving 694 citations

Hit Papers

align trajectories

What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

Matrix Variate Distributions

2018 323 citations Arjun K. Gupta, Daya K. Nagar profile →

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Daya K. Nagar Colombia	11	343	232	102	73	69	88	726
Gersende Fort France	18	419 1.2×	321 1.4×	103 1.0×	53 0.7×	54 0.8×	61	1.0k
Arnaud Guyader France	14	323 0.9×	271 1.2×	82 0.8×	24 0.3×	96 1.4×	35	840
Serge B. Provost Canada	15	474 1.4×	196 0.8×	225 2.2×	64 0.9×	109 1.6×	81	1.1k
Christopher S. Withers United Kingdom	14	536 1.6×	214 0.9×	50 0.5×	103 1.4×	135 2.0×	159	1.0k
C. Johan Masreliez United States	7	190 0.6×	341 1.5×	85 0.8×	28 0.4×	22 0.3×	21	687
Victor M. Panaretos Switzerland	10	214 0.6×	181 0.8×	38 0.4×	78 1.1×	43 0.6×	39	767
Alain Berlinet France	11	374 1.1×	395 1.7×	25 0.2×	114 1.6×	60 0.9×	37	1.1k
Friedrich Liese Germany	9	336 1.0×	227 1.0×	27 0.3×	97 1.3×	106 1.5×	37	798
L.C. Zhao United States	10	227 0.7×	173 0.7×	44 0.4×	34 0.5×	30 0.4×	33	587
Giovanni Pistone Italy	15	219 0.6×	181 0.8×	70 0.7×	111 1.5×	186 2.7×	68	875

Countries citing papers authored by Daya K. Nagar

Since Specialization

Citations

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

Fields of papers citing papers by Daya K. Nagar

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Daya K. Nagar

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

All Works

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20 of 20 papers shown

1.

Nagar, Daya K., et al.. (2023). Quantile-Based Multivariate Log-Normal Distribution. Symmetry. 15(8). 1513–1513. 2 indexed citations

2.

Nagar, Daya K., et al.. (2014). Evaluation of a generalized Selberg integral. Random Operators and Stochastic Equations. 23(1). 11–20.

3.

Arashi, ‎M‎ohammad, et al.. (2014). Bayesian Statistical Inference For Laplacian Class of Matrix Variate Elliptically Contoured Models. Communication in Statistics- Theory and Methods. 44(13). 2774–2787. 1 indexed citations

4.

Nagar, Daya K., et al.. (2013). Extended Matrix Variate Beta Distributions. 6(1). 40–53. 5 indexed citations

5.

Nagar, Daya K., et al.. (2013). Properties of the Extended Whittaker Function. 6(2). 70–80. 3 indexed citations

6.

Nagar, Daya K., et al.. (2012). Non-Central Beta Type 3 Distribution. 4(2). 29–43. 3 indexed citations

7.

Nagar, Daya K., et al.. (2011). Product and Quotient of Independent Gauss Hypergeometric Variables. SHILAP Revista de lepidopterología. 2 indexed citations

8.

Nagar, Daya K., et al.. (2011). BIVARIATE GENERALIZATION OF THE KUMMER-BETA DISTRIBUTION. Revista Colombiana de Estadística. 34(3). 497–512. 3 indexed citations

9.

Nagar, Daya K., et al.. (2009). Product of independent random variables involving inverted hypergeometric function type I variables. LA Referencia (Red Federada de Repositorios Institucionales de Publicaciones Científicas). 5(10). 93–106. 2 indexed citations

10.

Nagar, Daya K. & José Ángel Pérez‐Álvarez. (2008). Distribution of The Product of Independent Hypergeometric Function Type I Variables. International Journal of Applied Mathematics & Statistics. 13. 46–56. 1 indexed citations

11.

Nagar, Daya K., et al.. (2008). Quadratic Forms of Independent Complex Beta Matrices. International Journal of Applied Mathematics & Statistics. 13. 76–91. 1 indexed citations

12.

Nagar, Daya K., et al.. (2007). Multivariate generalized Beta distributions. Random Operators and Stochastic Equations. 15(2). 163–180. 2 indexed citations

13.

Nagar, Daya K., et al.. (2006). Distribution and percentage points of LRC for testing multisample compound symmetry in the bivariate and the trivariate cases. METRON. 217–238. 1 indexed citations

14.

Gupta, Arjun K., et al.. (2006). Complex generalized binomial coefficients. Random Operators and Stochastic Equations. 14(2). 143–156. 1 indexed citations

15.

Gupta, Arjun K. & Daya K. Nagar. (2004). Distribution of the determinant of the sample correlation matrix from a mixture normal model. Random Operators and Stochastic Equations. 12(2). 193–199. 4 indexed citations

16.

Nagar, Daya K., et al.. (2004). Exact Percentage Points for Testing Multisample Sphericity in the Bivariate Case. Communications in Statistics - Simulation and Computation. 33(2). 447–457. 1 indexed citations

17.

Nagar, Daya K., et al.. (2003). NON-CENTRAL MATRIX-VARIATE DIRICHLET DISTRIBUTION. Taiwanese Journal of Mathematics. 7(3). 477–491. 2 indexed citations

18.

Gupta, Arjun K. & Daya K. Nagar. (2003). Evaluation of cumulative probabilities for matrix variate Kummer-beta and matrix variate Kummer-gamma distributions. Random Operators and Stochastic Equations. 11(2). 101–108. 2 indexed citations

19.

Nagar, Daya K., et al.. (2001). Matrix variate Kummer-Gamma distribution. Random Operators and Stochastic Equations. 9(3). 207–218. 14 indexed citations

20.

Nagar, Daya K., et al.. (1994). A note on the distribution of. Random Operators and Stochastic Equations. 2(4). 331–354. 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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