S. M. Sunoj

947 total citations
76 papers, 703 citations indexed

About

S. M. Sunoj is a scholar working on Statistics and Probability, Statistics, Probability and Uncertainty and Statistical and Nonlinear Physics. According to data from OpenAlex, S. M. Sunoj has authored 76 papers receiving a total of 703 indexed citations (citations by other indexed papers that have themselves been cited), including 69 papers in Statistics and Probability, 36 papers in Statistics, Probability and Uncertainty and 16 papers in Statistical and Nonlinear Physics. Recurrent topics in S. M. Sunoj's work include Statistical Distribution Estimation and Applications (63 papers), Probabilistic and Robust Engineering Design (33 papers) and Statistical Mechanics and Entropy (16 papers). S. M. Sunoj is often cited by papers focused on Statistical Distribution Estimation and Applications (63 papers), Probabilistic and Robust Engineering Design (33 papers) and Statistical Mechanics and Entropy (16 papers). S. M. Sunoj collaborates with scholars based in India, Spain and United States. S. M. Sunoj's co-authors include P. G. Sankaran, N. Unnikrishnan Nair, Jorge Navarro, S. Maya, Asok K. Nanda, Suchandan Kayal, S. Sangeetha, Indranil Ghosh and S. Nickolas and has published in prestigious journals such as SHILAP Revista de lepidopterología, Physica A Statistical Mechanics and its Applications and Journal of Applied Probability.

In The Last Decade

S. M. Sunoj

61 papers receiving 669 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
S. M. Sunoj India 16 615 351 234 95 81 76 703
S. Baratpour Iran 12 436 0.7× 273 0.8× 141 0.6× 55 0.6× 86 1.1× 21 493
Yolanda del Aguila del Aguila Spain 11 536 0.9× 350 1.0× 100 0.4× 124 1.3× 214 2.6× 14 623
Gholam Reza Mohtashami Borzadaran Iran 11 301 0.5× 173 0.5× 71 0.3× 74 0.8× 100 1.2× 101 449
N. R. Arghami Iran 16 532 0.9× 263 0.7× 124 0.5× 90 0.9× 37 0.5× 39 570
Mohamed Kayid Saudi Arabia 13 667 1.1× 398 1.1× 40 0.2× 141 1.5× 238 2.9× 146 740
Asok K. Nanda India 22 1.2k 1.9× 762 2.2× 155 0.7× 283 3.0× 441 5.4× 75 1.3k
Guoxin Qiu China 10 413 0.7× 274 0.8× 69 0.3× 39 0.4× 50 0.6× 21 468
Omid Kharazmi Iran 12 262 0.4× 108 0.3× 105 0.4× 51 0.5× 24 0.3× 58 360
Gwo Dong Lin Taiwan 15 456 0.7× 143 0.4× 30 0.1× 145 1.5× 35 0.4× 68 660
Hadi Alızadeh Noughabi Iran 12 440 0.7× 226 0.6× 48 0.2× 63 0.7× 57 0.7× 66 516

Countries citing papers authored by S. M. Sunoj

Since Specialization
Citations

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

Fields of papers citing papers by S. M. Sunoj

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by S. M. Sunoj. 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 S. M. Sunoj. The network helps show where S. M. Sunoj may publish in the future.

Co-authorship network of co-authors of S. M. Sunoj

This figure shows the co-authorship network connecting the top 25 collaborators of S. M. Sunoj. A scholar is included among the top collaborators of S. M. Sunoj 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 S. M. Sunoj. S. M. Sunoj 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.
Nair, N. Unnikrishnan, et al.. (2025). Superquantile function of order n and their applications in reliability and entropy. Statistics & Probability Letters. 225. 110457–110457.
2.
Sunoj, S. M., et al.. (2025). Inaccuracy and divergence measures based on survival extropy with applications in testing and image analysis. Japanese Journal of Statistics and Data Science. 8(2). 921–947.
3.
4.
Sunoj, S. M., et al.. (2024). Nonparametric estimation of aging intensity function for right-censored dependent data. Journal of Statistical Computation and Simulation. 94(9). 1857–1873.
5.
Ghosh, Indranil & S. M. Sunoj. (2024). Copula-Based Mutual Information Measures and Mutual Entropy: A Brief Survey. Mathematical Methods of Statistics. 33(3). 297–309.
6.
Nair, N. Unnikrishnan, et al.. (2024). A Simple Method of Estimation and Testing Based on Q–Q Plots. Operations Research Forum. 5(3).
7.
Nickolas, S., et al.. (2023). A self-learning algorithm for identifying the leverage points in soil data using quantile regression forests. Decision Analytics Journal. 10. 100375–100375. 1 indexed citations
8.
Nair, N. Unnikrishnan, et al.. (2023). Additive hazards quantile model. Metrika. 87(4). 449–469. 1 indexed citations
9.
Sunoj, S. M., et al.. (2023). Kernel-based Estimation of Ageing Intensity Function: Properties and Applications. SHILAP Revista de lepidopterología. 52(5). 16–33.
10.
Sunoj, S. M., et al.. (2023). A Generalized Additive Hazards Model for the Analysis of Lifetime Data. 24(2). 623–642.
11.
Sankaran, P. G., et al.. (2023). Some reliability aspects of record values using quantile functions. Communication in Statistics- Theory and Methods. 53(13). 4755–4775. 3 indexed citations
12.
Sunoj, S. M., et al.. (2022). Reliability Aspects of Quantile-Based Residual Coefficient of Variation. International Journal of Reliability Quality and Safety Engineering. 30(2).
13.
Nair, N. Unnikrishnan, et al.. (2022). Some New Results on Renyi Entropy and Its Relative Measure. Calcutta Statistical Association Bulletin. 74(2). 97–116. 1 indexed citations
14.
Sunoj, S. M., et al.. (2021). Kernel estimation of entropy function under length-biased sampling. Communication in Statistics- Theory and Methods. 51(24). 8684–8693. 2 indexed citations
15.
Sunoj, S. M., et al.. (2014). A Discrete Analogue of Reciprocal Coordinate Subtangent and its Role in Characterization Problems. Calcutta Statistical Association Bulletin. 66(3-4). 123–136. 1 indexed citations
16.
Sunoj, S. M. & S. Maya. (2008). The role of lower partial moments in stochastic modeling. METRON. 223–242. 6 indexed citations
17.
Sunoj, S. M., P. G. Sankaran, & S. Maya. (2007). Characterizations of distributions using log odds rate. Statistics. 41(5). 443–451. 6 indexed citations
18.
Sunoj, S. M.. (2004). Characterizations of some continuous distributions using partial moments. METRON. 353–362. 8 indexed citations
19.
Nair, N. Unnikrishnan & S. M. Sunoj. (2003). Form-invariant bivariate weighted models. Statistics. 37(3). 259–269. 15 indexed citations
20.
Sunoj, S. M. & N. Unnikrishnan Nair. (1999). Bivariate distributions with weighted marginals and reliablity modelling. METRON. 118–126. 3 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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