Abhik Ghosh

1.1k total citations
59 papers, 547 citations indexed

About

Abhik Ghosh is a scholar working on Statistics and Probability, Statistics, Probability and Uncertainty and Economics and Econometrics. According to data from OpenAlex, Abhik Ghosh has authored 59 papers receiving a total of 547 indexed citations (citations by other indexed papers that have themselves been cited), including 35 papers in Statistics and Probability, 13 papers in Statistics, Probability and Uncertainty and 5 papers in Economics and Econometrics. Recurrent topics in Abhik Ghosh's work include Advanced Statistical Methods and Models (31 papers), Statistical Methods and Inference (20 papers) and Advanced Statistical Process Monitoring (12 papers). Abhik Ghosh is often cited by papers focused on Advanced Statistical Methods and Models (31 papers), Statistical Methods and Inference (20 papers) and Advanced Statistical Process Monitoring (12 papers). Abhik Ghosh collaborates with scholars based in India, Spain and United States. Abhik Ghosh's co-authors include Ayanendranath Basu, Leandro Pardo, Kewal Krishan, Sanghamitra Bandyopadhyay, Tanuj Kanchan, Ritesh G. Menezes, Nirian Martín, Debarka Sengupta, Debajyoti Sinha and Banasri Basu and has published in prestigious journals such as SHILAP Revista de lepidopterología, PLoS ONE and IEEE Transactions on Information Theory.

In The Last Decade

Abhik Ghosh

52 papers receiving 533 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Abhik Ghosh India	13	288	92	48	47	42	59	547
Jaeyong Lee South Korea	14	353 1.2×	30 0.3×	242 5.0×	11 0.2×	29 0.7×	66	662
Francisco Torres‐Ruiz Spain	16	139 0.5×	54 0.6×	65 1.4×	3 0.1×	23 0.5×	49	567
Peng Zeng United States	11	205 0.7×	26 0.3×	65 1.4×	8 0.2×	70 1.7×	41	475
Seung‐Ho Kang South Korea	15	120 0.4×	15 0.2×	106 2.2×	6 0.1×	75 1.8×	63	627
Hirokazu Yanagihara Japan	17	500 1.7×	38 0.4×	149 3.1×	2 0.0×	17 0.4×	91	804
Paolo Garbolino Italy	12	38 0.1×	33 0.4×	226 4.7×	56 1.2×	186 4.4×	26	601
Manuel Morán Spain	12	90 0.3×	19 0.2×	36 0.8×	2 0.0×	27 0.6×	48	477
P. Hall Australia	9	168 0.6×	30 0.3×	76 1.6×	2 0.0×	6 0.1×	17	322
Nicholas A. James United States	4	131 0.5×	30 0.3×	88 1.8×		21 0.5×	7	477

Countries citing papers authored by Abhik Ghosh

Since Specialization

Citations

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

Fields of papers citing papers by Abhik Ghosh

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Abhik Ghosh

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

Basu, Ayanendranath, et al.. (2025). Robust inference for linear regression models with possibly skewed error distribution. Journal of Computational and Applied Mathematics. 463. 116502–116502. 1 indexed citations

Ghosh, Abhik, et al.. (2024). Robust singular value decomposition with application to video surveillance background modelling. Statistics and Computing. 34(5). 1 indexed citations

Basu, Ayanendranath, et al.. (2024). Robust adaptive LASSO in high-dimensional logistic regression. Statistical Methods & Applications. 33(5). 1217–1249. 1 indexed citations

Wet, Tertius de, et al.. (2023). Robust extreme quantile estimation for Pareto-type tails through an exponential regression model. Communications for Statistical Applications and Methods. 30(6). 531–550. 1 indexed citations

Krishan, Kewal, et al.. (2023). Is it possible to estimate sex from signatures and handwriting? A review of literature, observations, and future perspectives. Die Naturwissenschaften. 110(4). 32–32. 1 indexed citations

Ghosh, Abhik, et al.. (2022). Classification of COVID19 Patients Using Robust Logistic Regression. Journal of Statistical Theory and Practice. 16(4). 67–67. 1 indexed citations

Ghosh, Abhik, et al.. (2021). sc-REnF: An entropy guided robust feature selection for single-cell RNA-seq data. Briefings in Bioinformatics. 23(2). 12 indexed citations

Wet, Tertius de, et al.. (2021). Robust estimation of Pareto-type tail index through an exponential regression model. Communication in Statistics- Theory and Methods. 52(2). 479–498. 4 indexed citations

Biswas, Aditya, Chad Sanada, Ujjwal Maulik, et al.. (2021). Modeling expression ranks for noise-tolerant differential expression analysis of scRNA-seq data. Genome Research. 31(4). 689–697. 10 indexed citations

10.

Ghosh, Abhik, et al.. (2020). Robust semiparametric inference for polytomous logistic \nregression with complex survey design. Library Open Repository (Universidad Complutense Madrid). 6 indexed citations

11.

Ghosh, Abhik & Ayanendranath Basu. (2018). A Generalized Relative (α, β)-Entropy: Geometric Properties and Applications to Robust Statistical Inference. Entropy. 20(5). 347–347. 5 indexed citations

12.

Ghosh, Abhik, Ian R. Harris, Avijit Maji, Ayanendranath Basu, & Leandro Pardo. (2017). A generalized divergence for statistical inference. Bernoulli. 23(4A). 14 indexed citations

13.

Ghosh, Abhik. (2017). Robust inference under the beta regression model with application to health care studies. Statistical Methods in Medical Research. 28(3). 871–888. 19 indexed citations

14.

Kumar, Dinesh, et al.. (2017). Sexual behavior of adolescent students in Chandigarh and their perceptions regarding family life education. SHILAP Revista de lepidopterología. 6(2). 399–399. 7 indexed citations

15.

Stidham, Thomas A., et al.. (2017). The first darter (Aves: Anhingidae) fossils from India (late Pliocene). PLoS ONE. 12(5). e0177129–e0177129. 4 indexed citations

16.

Stidham, Thomas A., et al.. (2014). A Pelican Tarsometatarsus (Aves: Pelecanidae) from the Latest Pliocene Siwaliks of India. PLoS ONE. 9(11). e111210–e111210. 10 indexed citations

17.

Ghosh, Abhik. (2014). Asymptotic Properties of Minimum S-Divergence Estimator for Discrete Models. Sankhya A. 77(2). 380–407. 8 indexed citations

18.

Ghosh, Abhik & Kewal Krishan. (2012). Facial reconstruction: The art of the science. Egyptian Journal of Forensic Sciences. 2(2). 43–44. 1 indexed citations

19.

Ghosh, Abhik, et al.. (2010). Consumer expenditure distribution in India, 1983–2007: Evidence of a long Pareto tail. Physica A Statistical Mechanics and its Applications. 390(1). 83–97. 6 indexed citations

20.

Ghosh, Abhik, et al.. (1988). A Prevalence Study Of Eye Diseases Among Children In A School In Pune. Indian Journal of Community Medicine. 13(3). 134–134. 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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