Subrata Chakraborty

1.7k total citations
107 papers, 1.0k citations indexed

About

Subrata Chakraborty is a scholar working on Statistics and Probability, Artificial Intelligence and Statistics, Probability and Uncertainty. According to data from OpenAlex, Subrata Chakraborty has authored 107 papers receiving a total of 1.0k indexed citations (citations by other indexed papers that have themselves been cited), including 59 papers in Statistics and Probability, 22 papers in Artificial Intelligence and 21 papers in Statistics, Probability and Uncertainty. Recurrent topics in Subrata Chakraborty's work include Statistical Distribution Estimation and Applications (58 papers), Bayesian Methods and Mixture Models (20 papers) and Probabilistic and Robust Engineering Design (20 papers). Subrata Chakraborty is often cited by papers focused on Statistical Distribution Estimation and Applications (58 papers), Bayesian Methods and Mixture Models (20 papers) and Probabilistic and Robust Engineering Design (20 papers). Subrata Chakraborty collaborates with scholars based in India, United States and Malaysia. Subrata Chakraborty's co-authors include Josmar Mazucheli, André F. B. Menezes, Tarun Gupta, B. R. Maiti, S. H. Ong, Dar‐Fu Tai, Haitham M. Yousof, Rameshwar D. Gupta, G. G. Hamedani and M. Masoom Ali and has published in prestigious journals such as SHILAP Revista de lepidopterología, Expert Systems with Applications and Molecules.

In The Last Decade

Subrata Chakraborty

94 papers receiving 987 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Subrata Chakraborty India 16 642 268 177 153 110 107 1.0k
Jerome P. Keating United States 18 642 1.0× 232 0.9× 149 0.8× 32 0.2× 96 0.9× 64 857
S. Loukas Greece 11 548 0.9× 317 1.2× 123 0.7× 117 0.8× 88 0.8× 32 818
Kimberly F. Sellers United States 14 360 0.6× 112 0.4× 170 1.0× 25 0.2× 87 0.8× 42 986
Vicente G. Cancho Brazil 23 1.4k 2.2× 412 1.5× 438 2.5× 126 0.8× 275 2.5× 102 1.6k
Jaromı́r Antoch Czechia 13 247 0.4× 70 0.3× 127 0.7× 47 0.3× 70 0.6× 45 799
Jerome Klotz United States 16 516 0.8× 98 0.4× 174 1.0× 26 0.2× 125 1.1× 56 1.2k
Nader Ebrahimi United States 18 916 1.4× 467 1.7× 146 0.8× 59 0.4× 219 2.0× 93 1.2k
Donald B. Owen United States 11 292 0.5× 225 0.8× 60 0.3× 25 0.2× 122 1.1× 16 660
Josemar Rodrigues Brazil 18 691 1.1× 92 0.3× 262 1.5× 15 0.1× 205 1.9× 66 938
Wallace E. Franck United States 9 203 0.3× 61 0.2× 124 0.7× 21 0.1× 84 0.8× 18 572

Countries citing papers authored by Subrata Chakraborty

Since Specialization
Citations

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

Fields of papers citing papers by Subrata Chakraborty

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Subrata Chakraborty

This figure shows the co-authorship network connecting the top 25 collaborators of Subrata Chakraborty. A scholar is included among the top collaborators of Subrata Chakraborty 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 Subrata Chakraborty. Subrata Chakraborty 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.
Chakraborty, Subrata, et al.. (2024). A Bimodal Extension of the Tanh Skew Normal Distribution: Properties and Applications. Pakistan Journal of Statistics and Operation Research. 533–551. 1 indexed citations
2.
Elbatal, Ibrahim, et al.. (2023). Truncated Cauchy Power Kumaraswamy Generalized family of distributions: Theory and Applications. Statistics Optimization & Information Computing. 12(2). 364–380.
3.
Chakraborty, Subrata, et al.. (2023). NNVDC: A new versatile density-based clustering method using k-Nearest Neighbors. Expert Systems with Applications. 227. 120250–120250. 11 indexed citations
4.
Chakraborty, Subrata, et al.. (2023). A New Flexible Alpha Skew Normal Distribution. 24(2). 485–507. 1 indexed citations
5.
Chakraborty, Subrata, et al.. (2023). An Extension of the Geometric Distribution with Properties and Applications. SHILAP Revista de lepidopterología. 52(3). 124–142.
6.
Chakraborty, Subrata, et al.. (2022). Impact of distance measures on partition-based clustering method—an empirical investigation. International Journal of Information Technology. 15(2). 627–642. 5 indexed citations
7.
Gogoi, Dhrubajyoti, et al.. (2020). Integrated computational approach toward discovery of multi-targeted natural products from Thumbai (Leucas aspera) for attuning NKT cells. Journal of Biomolecular Structure and Dynamics. 40(7). 2893–2907. 6 indexed citations
8.
Haq, Muhammad Ahsan ul, et al.. (2020). Generalized Modified Exponential-G Family of Distributions: Its Properties and Applications. 21(1). 1–17.
9.
Chakraborty, Subrata, et al.. (2020). The Balakrishnan Alpha Skew Logistic Distribution: Properties and Applications. International Journal of Applied Mathematics & Statistics. 59(1). 76–92. 6 indexed citations
10.
Chakraborty, Subrata, et al.. (2019). Some Aspects of the Odd Log-Logistic Burr X Distribution with Applications in Reliability Data Modeling. International Journal of Applied Mathematics & Statistics. 58(1). 127–147. 3 indexed citations
11.
Yousof, Haitham M., et al.. (2018). Zografos–Balakrishnan Burr XII Distribution: Regression Modeling and Applications. 19(3). 46–70. 35 indexed citations
12.
Haq, Muhammad Ahsan ul, et al.. (2018). The Odd Moment Exponential Family of Distributions: Its Properties and Applications. International Journal of Applied Mathematics & Statistics. 57(6). 47–62. 7 indexed citations
13.
Chakraborty, Subrata, et al.. (2016). Transmuted geometric distribution with applications in modeling and regression analysis of count data. LA Referencia (Red Federada de Repositorios Institucionales de Publicaciones Científicas). 1(1). 153–176. 8 indexed citations
14.
DasGupta, Maitrayee, et al.. (2014). A Comparative Study Indicates Methimazole Induced Chemical Hypothyroidism Causes Inhibition of Pineal Gland Karyomorphology in Three Different Species of Animals. 2(2). 0. 2 indexed citations
15.
Majumdar, Kaushik, et al.. (2012). Primary bilateral small lymphocytic lymphoma of ocular adnexal origin: Imprint cytology suggests the intraoperative diagnosis. Saudi Journal of Ophthalmology. 27(1). 61–63. 5 indexed citations
16.
Chakraborty, Subrata, et al.. (2011). Juvenile xanthogranuloma-diagnostic challenge on fine-needle aspiration cytology. Journal of Cytology. 28(4). 217–218. 2 indexed citations
18.
Chakraborty, Subrata, et al.. (2009). Stimulatory response of pineal-thyroid nuclear morphology and function following adrenocortical modulation in rat (Rattus rattus). Proceedings of the Zoological Society. 62(2). 81–90. 1 indexed citations
19.
Chakraborty, Subrata, et al.. (1993). Demonstration of acid-fast bacilli in tissues and evaluation of atypical tuberculous lesions.. PubMed. 91(2). 30–3. 5 indexed citations
20.
Chakraborty, Subrata, et al.. (1992). Melatonin induced morphology of the thyrofollicular activity in Blossomheaded parakeets (Psittacula cyanocephala) and Indian weaver birds (Ploceus philippinus). 103(4). 245–249. 2 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

Rankless by CCL
2026