Satya N. Mishra

716 total citations
24 papers, 491 citations indexed

About

Satya N. Mishra is a scholar working on Statistics and Probability, Artificial Intelligence and Finance. According to data from OpenAlex, Satya N. Mishra has authored 24 papers receiving a total of 491 indexed citations (citations by other indexed papers that have themselves been cited), including 12 papers in Statistics and Probability, 5 papers in Artificial Intelligence and 3 papers in Finance. Recurrent topics in Satya N. Mishra's work include Statistical Distribution Estimation and Applications (8 papers), Advanced Statistical Methods and Models (6 papers) and Statistical Methods and Inference (5 papers). Satya N. Mishra is often cited by papers focused on Statistical Distribution Estimation and Applications (8 papers), Advanced Statistical Methods and Models (6 papers) and Statistical Methods and Inference (5 papers). Satya N. Mishra collaborates with scholars based in United States, India and Germany. Satya N. Mishra's co-authors include Edward J. Dudewicz, Eric R. Ziegel, Richard Madsen, Madhuri S. Mulekar, A. K. Misra, John J. Lefante, Arvind Shah, Ram Naresh, Kusum Lata and Parminder Singh and has published in prestigious journals such as Journal of the American Statistical Association, Technometrics and Chaos Solitons & Fractals.

In The Last Decade

Satya N. Mishra

22 papers receiving 449 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Satya N. Mishra United States	10	162	64	52	45	42	24	491
Nicholas A. James United States	4	131 0.8×	88 1.4×	30 0.6×	25 0.6×	50 1.2×	7	477
Sophie Donnet France	11	110 0.7×	91 1.4×	29 0.6×	19 0.4×	24 0.6×	28	410
Mario Lefebvre Canada	10	81 0.5×	41 0.6×	49 0.9×	50 1.1×	37 0.9×	114	561
William M. Bolstad New Zealand	7	114 0.7×	78 1.2×	72 1.4×	36 0.8×	48 1.1×	16	528
Nabendu Pal United States	16	412 2.5×	102 1.6×	97 1.9×	64 1.4×	18 0.4×	75	626
Juho Piironen Finland	6	158 1.0×	126 2.0×	32 0.6×	37 0.8×	25 0.6×	9	543
Guoqi Qian Australia	13	138 0.9×	122 1.9×	15 0.3×	65 1.4×	39 0.9×	68	543
Ramón Gutiérrez Jáimez Spain	17	267 1.6×	114 1.8×	60 1.2×	127 2.8×	136 3.2×	82	794
Yuedong Wang United States	16	434 2.7×	130 2.0×	87 1.7×	99 2.2×	75 1.8×	48	962
Tamás F. Móri Hungary	13	196 1.2×	132 2.1×	36 0.7×	128 2.8×	17 0.4×	77	831

Countries citing papers authored by Satya N. Mishra

Since Specialization

Citations

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

Fields of papers citing papers by Satya N. Mishra

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Satya N. Mishra. 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 Satya N. Mishra. The network helps show where Satya N. Mishra may publish in the future.

Co-authorship network of co-authors of Satya N. Mishra

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

All Works

Sort: Min cites: Since: Top N: Style:

20 of 20 papers shown

Mishra, Satya N., et al.. (2023). Tubercular Hepatic Abscess: An Incidental Finding. Cureus. 15(2). e35447–e35447. 1 indexed citations

Padhy, Sudarsan, et al.. (2021). A novel LASSO – TLBO – SVR hybrid model for an efficient portfolio construction. The North American Journal of Economics and Finance. 55. 101350–101350. 9 indexed citations

Lata, Kusum, Satya N. Mishra, & A. K. Misra. (2019). An optimal control problem for carrier dependent diseases. Biosystems. 187. 104039–104039. 13 indexed citations

Misra, A. K., et al.. (2013). A mathematical model for the control of carrier-dependent infectious diseases with direct transmission and time delay. Chaos Solitons & Fractals. 57. 41–53. 14 indexed citations

Misra, A. K., et al.. (2012). Modeling the effect of time delay in controlling the carrier dependent infectious disease – Cholera. Applied Mathematics and Computation. 218(23). 11547–11557. 21 indexed citations

Wang, Bin, et al.. (2010). Comparison of bootstrap and generalized bootstrap methods for estimating high quantiles. Journal of Statistical Planning and Inference. 140(10). 2926–2935. 3 indexed citations

Chaubey, Yogendra P., et al.. (2008). Inference on Overlap for Two Inverse Gaussian Populations: Equal Means Case. Communication in Statistics- Theory and Methods. 37(12). 1880–1894. 6 indexed citations

Singh, Parminder & Satya N. Mishra. (2006). Classifying logistic populations using sample medians. Journal of Statistical Planning and Inference. 137(5). 1647–1657. 1 indexed citations

Singh, Parminder, Asheber Abebe, & Satya N. Mishra. (2006). Simultaneous Testing for the Successive Differences of Exponential Location Parameters. Communications in Statistics - Simulation and Computation. 35(3). 547–561. 6 indexed citations

10.

Singh, Parminder, et al.. (2002). A Class of Selection Procedures Based on Sample Quasi-Ranges. American Journal of Mathematical and Management Sciences. 22(3-4). 353–367. 1 indexed citations

11.

Carpenter, Mark & Satya N. Mishra. (2001). Bootstrap Bias Adjusted Estimators of Beta Distribution Parameters. Calcutta Statistical Association Bulletin. 51(1-2). 119–124.

12.

Minami, Mihoko, Kunio Shimizu, & Satya N. Mishra. (2000). ML and REML Estimation of Matusita's Measure for Two Bivariate Normal Distributions with Missing Observations. American Journal of Mathematical and Management Sciences. 20(1-2). 39–69.

13.

Mulekar, Madhuri S. & Satya N. Mishra. (2000). Confidence interval estimation of overlap: equal means case. Computational Statistics & Data Analysis. 34(2). 121–137. 29 indexed citations

14.

Mulekar, Madhuri S. & Satya N. Mishra. (1997). Inference on Measures of Niche Overlap for Heteroscedastic Normal Populations. American Journal of Mathematical and Management Sciences. 17(1-2). 163–185. 6 indexed citations

15.

Dudewicz, Edward J., et al.. (1995). Statistika Matematika Modern. Andalas University Repository (Andalas University). 5 indexed citations

16.

Mulekar, Madhuri S. & Satya N. Mishra. (1994). OVERLAP COEFFICIENTS OF TWO NORMAL DENSITIES: EQUAL MEANS CASE. 24(2). 169–180. 22 indexed citations

17.

Madsen, Richard, Edward J. Dudewicz, & Satya N. Mishra. (1989). Modern Mathematical Statistics.. Journal of the American Statistical Association. 84(405). 335–335. 92 indexed citations

18.

Mishra, Satya N. & Edward J. Dudewicz. (1987). Simultaneous Selection of Extreme Populations: A Subset Selection Approach. Biometrical Journal. 29(4). 471–483. 10 indexed citations

19.

Mishra, Satya N., Arvind Shah, & John J. Lefante. (1986). Overlapping coefficient: the generalized t approach. Communication in Statistics- Theory and Methods. 15(1). 123–128. 17 indexed citations

20.

Mishra, Satya N.. (1986). Simultaneous Selection of Extreme Population Means: Indifference-Zone Formulation. American Journal of Mathematical and Management Sciences. 6(1-2). 131–142. 6 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.

Explore authors with similar magnitude of impact