Sounak Chakraborty

1.5k total citations · 1 hit paper
33 papers, 897 citations indexed

About

Sounak Chakraborty is a scholar working on Statistics and Probability, Molecular Biology and Artificial Intelligence. According to data from OpenAlex, Sounak Chakraborty has authored 33 papers receiving a total of 897 indexed citations (citations by other indexed papers that have themselves been cited), including 15 papers in Statistics and Probability, 11 papers in Molecular Biology and 8 papers in Artificial Intelligence. Recurrent topics in Sounak Chakraborty's work include Statistical Methods and Inference (12 papers), Gene expression and cancer classification (8 papers) and Face and Expression Recognition (6 papers). Sounak Chakraborty is often cited by papers focused on Statistical Methods and Inference (12 papers), Gene expression and cancer classification (8 papers) and Face and Expression Recognition (6 papers). Sounak Chakraborty collaborates with scholars based in United States, India and South Korea. Sounak Chakraborty's co-authors include Mihail Popescu, Mohammed Khalilia, Tanujit Dey, Adrian M. Di Bisceglie, Jianguo Sun, Ratna B. Ray, Robert Steele, Kyu Ha Lee, Sourav Bhattacharya and Shubham Shrivastava and has published in prestigious journals such as SHILAP Revista de lepidopterología, Journal of the American Statistical Association and PLoS ONE.

In The Last Decade

Sounak Chakraborty

33 papers receiving 868 citations

Hit Papers

align trajectories

What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

Predicting disease risks from highly imbalanced data using random forest

2011 490 citations Mohammed Khalilia, Sounak Chakraborty et al. BMC Medical Informatics and Decision Making profile →

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Sounak Chakraborty United States	13	322	180	126	92	75	33	897
Nicola Torelli Italy	10	409 1.3×	94 0.5×	59 0.5×	89 1.0×	76 1.0×	35	1.2k
Giovanna Menardi Italy	8	420 1.3×	97 0.5×	59 0.5×	55 0.6×	63 0.8×	24	1.0k
Brett K. Beaulieu‐Jones United States	16	624 1.9×	167 0.9×	170 1.3×	98 1.1×	147 2.0×	33	1.4k
Xin Gao Canada	16	219 0.7×	156 0.9×	171 1.4×	174 1.9×	27 0.4×	94	1.1k
Mu Zhu Canada	18	276 0.9×	259 1.4×	36 0.3×	137 1.5×	44 0.6×	42	1.1k
Jake Luo United States	19	442 1.4×	324 1.8×	169 1.3×	40 0.4×	64 0.9×	80	1.2k
Hyung‐Jin Yoon South Korea	18	125 0.4×	155 0.9×	108 0.9×	15 0.2×	138 1.8×	87	1.4k
Beatriz de la Iglesia United Kingdom	16	353 1.1×	135 0.8×	38 0.3×	18 0.2×	71 0.9×	47	1.0k
Ljubomir Buturović United States	14	173 0.5×	257 1.4×	25 0.2×	29 0.3×	149 2.0×	33	1.3k
Philipp Probst Germany	10	177 0.5×	101 0.6×	42 0.3×	27 0.3×	88 1.2×	17	878

Countries citing papers authored by Sounak Chakraborty

Since Specialization

Citations

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

Fields of papers citing papers by Sounak Chakraborty

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Sounak Chakraborty

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

Chakraborty, Sounak, et al.. (2022). A Spatiotemporal Analytical Outlook of the Exposure to Air Pollution and COVID-19 Mortality in the USA. Journal of Agricultural Biological and Environmental Statistics. 27(3). 419–439. 4 indexed citations

Huang, Yilun, et al.. (2022). Applications of machine learning tools for ultra-sensitive detection of lipoarabinomannan with plasmonic grating biosensors in clinical samples of tuberculosis. PLoS ONE. 17(10). e0275658–e0275658. 2 indexed citations

Chakraborty, Sounak, et al.. (2022). VALIDITY AND RELIABILITY STUDY OF THE RUNNING-BASED ANAEROBIC SPRINT TEST FOR EVALUATING ANAEROBIC POWER PERFORMANCE AS COMPARED TO WINGATE TEST IN INDIAN MALE TRACK AND FIELD SPRINTERS. European Journal of Literature, Language and Linguistics Studies - Open Journal Systems. 8(4). 2 indexed citations

Dey, Tanujit, et al.. (2021). Lag time between state-level policy interventions and change points in COVID-19 outcomes in the United States. Patterns. 2(8). 100306–100306. 11 indexed citations

Chakraborty, Sounak, et al.. (2020). Functional modeling of pedaling kinematics for the Stroke patients. Journal of Biopharmaceutical Statistics. 30(4). 674–688. 2 indexed citations

Dey, Tanujit, et al.. (2020). A Practical Overview and Reporting Strategies for Statistical Analysis of Survival Studies. CHEST Journal. 158(1). S39–S48. 24 indexed citations

Ray, Jyotisankar, et al.. (2020). Petrogenetic aspects and role of liquid immiscibility from parts of eastern Deccan volcanic province, India. Geological Journal. 55(7). 5619–5638. 3 indexed citations

Dey, Tanujit, et al.. (2020). A Practical Overview of Case-Control Studies in Clinical Practice. CHEST Journal. 158(1). S57–S64. 26 indexed citations

Aldridge, Kristina, et al.. (2019). Predictive model of cranial growth in infants with cranial deformation. The FASEB Journal. 33(S1). 1 indexed citations

10.

Lee, Kyu Ha, Sounak Chakraborty, & Jianguo Sun. (2017). Variable selection for high-dimensional genomic data with censored outcomes using group lasso prior. Computational Statistics & Data Analysis. 112. 1–13. 8 indexed citations

11.

Li, Zhongyu, et al.. (2017). Rapid culture-based detection of living mycobacteria using microchannel electrical impedance spectroscopy (m-EIS). Biological Research. 50(1). 21–21. 14 indexed citations

12.

Bhattacharya, Sourav, Robert Steele, Shubham Shrivastava, et al.. (2016). Serum miR-30e and miR-223 as Novel Noninvasive Biomarkers for Hepatocellular Carcinoma. American Journal Of Pathology. 186(2). 242–247. 77 indexed citations

13.

Lee, Kyu Ha, Sounak Chakraborty, & Jianguo Sun. (2015). Survival prediction and variable selection with simultaneous shrinkage and grouping priors. Statistical Analysis and Data Mining The ASA Data Science Journal. 8(2). 114–127. 10 indexed citations

14.

Chakraborty, Sounak, Malay Ghosh, & Bani K. Mallick. (2012). Bayesian nonlinear regression for largepsmallnproblems. Journal of Multivariate Analysis. 108. 28–40. 20 indexed citations

15.

Khalilia, Mohammed, Sounak Chakraborty, & Mihail Popescu. (2011). Predicting disease risks from highly imbalanced data using random forest. BMC Medical Informatics and Decision Making. 11(1). 51–51. 490 indexed citations breakdown →

16.

Lee, Kyu Ha, Sounak Chakraborty, & Jianguo Sun. (2011). Bayesian Variable Selection in Semiparametric Proportional Hazards Model for High Dimensional Survival Data. The International Journal of Biostatistics. 7(1). 21 indexed citations

17.

Chakraborty, Sounak, et al.. (2010). A Bayesian hybrid Huberized support vector machine and its applications in high-dimensional medical data. Computational Statistics & Data Analysis. 55(3). 1342–1356. 8 indexed citations

18.

Chakraborty, Sounak. (2009). Bayesian semi-supervised learning with support vector machine. Statistical Methodology. 8(1). 68–82. 20 indexed citations

19.

Lin, Guan Ning, Zhipeng Cai, Guohui Lin, Sounak Chakraborty, & Dong Xu. (2009). ComPhy: prokaryotic composite distance phylogenies inferred from whole-genome gene sets. BMC Bioinformatics. 10(S1). S5–S5. 10 indexed citations

20.

Chakraborty, Sounak. (2008). Simultaneous cancer classification and gene selection with Bayesian nearest neighbor method: An integrated approach. Computational Statistics & Data Analysis. 53(4). 1462–1474. 19 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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