Nabendu Pal

930 total citations
75 papers, 626 citations indexed

About

Nabendu Pal is a scholar working on Statistics and Probability, Artificial Intelligence and Statistics, Probability and Uncertainty. According to data from OpenAlex, Nabendu Pal has authored 75 papers receiving a total of 626 indexed citations (citations by other indexed papers that have themselves been cited), including 54 papers in Statistics and Probability, 11 papers in Artificial Intelligence and 10 papers in Statistics, Probability and Uncertainty. Recurrent topics in Nabendu Pal's work include Statistical Distribution Estimation and Applications (29 papers), Advanced Statistical Methods and Models (29 papers) and Statistical Methods and Inference (20 papers). Nabendu Pal is often cited by papers focused on Statistical Distribution Estimation and Applications (29 papers), Advanced Statistical Methods and Models (29 papers) and Statistical Methods and Inference (20 papers). Nabendu Pal collaborates with scholars based in United States, Taiwan and India. Nabendu Pal's co-authors include Ching-Hui Chang, Jyh-Jiuan Lin, Abdulaziz Elfessi, Azmy S. Ackleh, Debashis Kushary, Baoling Ma, Somesh Kumar, Jacoby Carter, Partha P. Majumder and D. C. Rao and has published in prestigious journals such as SHILAP Revista de lepidopterología, The Journal of the Acoustical Society of America and The Annals of Statistics.

In The Last Decade

Nabendu Pal

65 papers receiving 582 citations

Author Peers

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

Author						Papers	Cites
Nabendu Pal	412	102	97	64	52	75	626
Diego I. Gallardo	296 0.7×	114 1.1×	85 0.9×	57 0.9×	34 0.7×	89	451
Mayer Alvo	244 0.6×	102 1.0×	52 0.5×	120 1.9×	28 0.5×	57	662
Satya N. Mishra	162 0.4×	64 0.6×	52 0.5×	45 0.7×	16 0.3×	24	491
Heinz Linhart	357 0.9×	186 1.8×	94 1.0×	80 1.3×	39 0.8×	22	777
Ram C. Dahiya	447 1.1×	160 1.6×	121 1.2×	48 0.8×	21 0.4×	42	700
Poduri S.R.S. Rao	420 1.0×	114 1.1×	84 0.9×	68 1.1×	32 0.6×	33	723
Nicholas A. James	131 0.3×	88 0.9×	30 0.3×	25 0.4×	45 0.9×	7	477
Y. Lee	630 1.5×	192 1.9×	109 1.1×	175 2.7×	30 0.6×	9	1.0k
Matías Salibián‐Barrera	513 1.2×	94 0.9×	261 2.7×	49 0.8×	7 0.1×	36	810
Juvêncio S. Nobre	142 0.3×	84 0.8×	48 0.5×	42 0.7×	20 0.4×	33	474

Countries citing papers authored by Nabendu Pal

Since Specialization

Citations

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

Fields of papers citing papers by Nabendu Pal

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Nabendu Pal

This figure shows the co-authorship network connecting the top 25 collaborators of Nabendu Pal. A scholar is included among the top collaborators of Nabendu Pal 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 Nabendu Pal. Nabendu Pal 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

Pal, Nabendu, et al.. (2024). A Distribution - Free Goodness of Fit Test for Copula Model: An Application to Farlie–Gumbel–Morgernstern Copula. Journal of Statistical Theory and Practice. 18(2).

Pal, Nabendu, et al.. (2023). A stronger association of depression with rheumatoid arthritis in presence of obesity and hypertriglyceridemia. SHILAP Revista de lepidopterología. 3. 1216497–1216497. 4 indexed citations

Lin, Jyh-Jiuan, Ching-Hui Chang, & Nabendu Pal. (2014). A Revisit to Contingency Table and Tests of Independence: Bootstrap is Preferred to Chi-Square Approximations as Well as Fisher’s Exact Test. Journal of Biopharmaceutical Statistics. 25(3). 438–458. 27 indexed citations

Begum, Munni, et al.. (2014). A Generalized Inflated Poisson Distribution with Application to Modeling Fertility Data. 12(2). 135–159. 7 indexed citations

Tanaka, Hidekazu, et al.. (2014). On improved estimation of a gamma shape parameter. Statistics. 49(1). 84–97. 3 indexed citations

Ackleh, Azmy S., George E. Ioup, Juliette W. Ioup, et al.. (2012). Assessing the Deepwater Horizon oil spill impact on marine mammal population through acoustics: Endangered sperm whales. The Journal of the Acoustical Society of America. 131(3). 2306–2314. 32 indexed citations

Pal, Nabendu, et al.. (2012). A note on interval estimation of the standard deviation of a gamma population with applications to statistical quality control. Applied Mathematical Modelling. 37(4). 2580–2587. 8 indexed citations

Ackleh, Azmy S., Jacoby Carter, Keng Deng, et al.. (2011). Fitting a Structured Juvenile–Adult Model for Green Tree Frogs to Population Estimates from Capture–Mark–Recapture Field Data. Bulletin of Mathematical Biology. 74(3). 641–665. 12 indexed citations

Chang, Ching-Hui & Nabendu Pal. (2008). A Revisit to the Behrens–Fisher Problem: Comparison of Five Test Methods. Communications in Statistics - Simulation and Computation. 37(6). 1064–1085. 30 indexed citations

10.

Chang, Ching-Hui, Jyh-Jiuan Lin, & Nabendu Pal. (2008). Exact test critical values for correlation testing with application. WSEAS Transactions on Mathematics archive. 7(6). 363–381.

11.

Ackleh, Azmy S., et al.. (2007). Population Estimates of Hyla cinerea (Schneider) (Green Tree Frog) in an Urban Environment. Southeastern Naturalist. 6(2). 203–216. 21 indexed citations

12.

Lin, Jyh-Jiuan & Nabendu Pal. (2005). A Note on Robustness of Normal Variance Estimators Under t -Distributions. Communication in Statistics- Theory and Methods. 34(5). 1117–1126. 2 indexed citations

13.

Lin, Jyh-Jiuan, et al.. (2005). A brief review of shrinkage estimation of a multivariate normal mean with extension to multiple linear regression. Advances and Applications in Statistics. 371–399. 1 indexed citations

14.

Pal, Nabendu, et al.. (2005). Handbook of Exponential and Related Distributions for Engineers and Scientists. 29 indexed citations

15.

Pal, Nabendu, et al.. (2004). On the reliability of a two-component series system. Quality Engineering. 49(5). 587–590.

16.

Pal, Nabendu, et al.. (1992). A sequence of improvements over the James-Stein estimator. Journal of Multivariate Analysis. 42(2). 302–317. 15 indexed citations

17.

Pal, Nabendu, et al.. (1992). Estimation of the smaller and larger of two exponential location parameters. Communication in Statistics- Theory and Methods. 21(4). 883–895. 6 indexed citations

18.

Elfessi, Abdulaziz & Nabendu Pal. (1992). A note on the common mean of two normal populations with order restricted variances. Communication in Statistics- Theory and Methods. 21(11). 3177–3184. 18 indexed citations

19.

Elfessi, Abdulaziz & Nabendu Pal. (1992). Estimation of the smaller and larger of two uniform scale parameters. Communication in Statistics- Theory and Methods. 21(10). 2997–3015. 7 indexed citations

20.

Majumder, Partha P., Nabendu Pal, & D. C. Rao. (1987). Nonrandom segregation: Uniformly most powerful test and related considerations. Genetic Epidemiology. 4(4). 277–287. 18 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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