S. Chakraborti

5.4k total citations · 1 hit paper
116 papers, 3.5k citations indexed

About

S. Chakraborti is a scholar working on Statistics, Probability and Uncertainty, Statistics and Probability and Management Science and Operations Research. According to data from OpenAlex, S. Chakraborti has authored 116 papers receiving a total of 3.5k indexed citations (citations by other indexed papers that have themselves been cited), including 73 papers in Statistics, Probability and Uncertainty, 71 papers in Statistics and Probability and 30 papers in Management Science and Operations Research. Recurrent topics in S. Chakraborti's work include Advanced Statistical Process Monitoring (73 papers), Advanced Statistical Methods and Models (51 papers) and Scientific Measurement and Uncertainty Evaluation (50 papers). S. Chakraborti is often cited by papers focused on Advanced Statistical Process Monitoring (73 papers), Advanced Statistical Methods and Models (51 papers) and Scientific Measurement and Uncertainty Evaluation (50 papers). S. Chakraborti collaborates with scholars based in United States, South Africa and Brazil. S. Chakraborti's co-authors include Jean Dickinson Gibbons, Marien Alet Graham, S. W. Human, Amitava Mukherjee, P. van der Laan, Serkan Eryılmaz, Eugenio K. Epprecht, Paul D. Thistle, John A. Bishop and S. Chowdhury and has published in prestigious journals such as Technometrics, European Journal of Operational Research and The Review of Economics and Statistics.

In The Last Decade

S. Chakraborti

113 papers receiving 3.4k citations

Hit Papers

Nonparametric Statistical Inference 2010 2026 2015 2020 2010 100 200 300 400
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.

  1. Nonparametric Statistical Inference
    2010 408 citations Jean Dickinson Gibbons, S. Chakraborti profile →

Peers

S. Chakraborti
Marion R. Reynolds United States
Asit P. Basu United States
Luis A. Escobar United States
Harry V. Roberts United States
Jesse C. Arnold United States
Stephen B. Vardeman United States
C. D. Lai New Zealand
Víctor Leiva Chile
Govind S. Mudholkar United States
Regina Y. Liu United States
Marion R. Reynolds United States
S. Chakraborti
Citations per year, relative to S. Chakraborti S. Chakraborti (= 1×) peers Marion R. Reynolds

Countries citing papers authored by S. Chakraborti

Since Specialization
Citations

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

Fields of papers citing papers by S. Chakraborti

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of S. Chakraborti

This figure shows the co-authorship network connecting the top 25 collaborators of S. Chakraborti. A scholar is included among the top collaborators of S. Chakraborti 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. Chakraborti. S. Chakraborti 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.
Chakraborti, S., et al.. (2025). Zero-inflated count data monitoring with a healthcare case study. Journal of Quality Technology. 57(3). 236–256.
2.
Celano, Giovanni, et al.. (2023). Distribution-free control charts for monitoring scale in finite horizon productions. European Journal of Operational Research. 314(3). 1040–1051. 6 indexed citations
3.
Chakraborti, S., et al.. (2020). Design of variance control charts with estimated parameters: A head to head comparison between two perspectives. Journal of Quality Technology. 54(3). 249–268. 8 indexed citations
4.
Chakraborti, S. & Marien Alet Graham. (2019). Nonparametric (distribution-free) control charts: An updated overview and some results. Quality Engineering. 31(4). 523–544. 127 indexed citations
5.
Chakraborti, S., et al.. (2019). Two perspectives for designing a phase II control chart with estimated parameters: The case of the Shewhart X¯ Chart. Journal of Quality Technology. 52(2). 198–217. 42 indexed citations
6.
Graham, Marien Alet, et al.. (2017). Nonparametric signed‐rank control charts with variable sampling intervals. Quality and Reliability Engineering International. 33(8). 2181–2192. 11 indexed citations
7.
Chakraborti, S., et al.. (2017). Phase II control charts for monitoring dispersion when parameters are estimated. Quality Engineering. 29(4). 605–622. 16 indexed citations
8.
Chakraborti, S., et al.. (2016). Effects of Parameter Estimation on the Multivariate Distribution-free Phase II Sign EWMA Chart. Quality and Reliability Engineering International. 33(2). 431–449. 9 indexed citations
9.
Chowdhury, S., Amitava Mukherjee, & S. Chakraborti. (2013). A New Distribution‐free Control Chart for Joint Monitoring of Unknown Location and Scale Parameters of Continuous Distributions. Quality and Reliability Engineering International. 30(2). 191–204. 89 indexed citations
10.
Human, S. W., et al.. (2011). Robustness of the EWMA control chart for individual observations. Journal of Applied Statistics. 38(10). 2071–2087. 49 indexed citations
11.
Graham, Marien Alet, S. Chakraborti, & S. W. Human. (2011). A Nonparametric EWMA Sign Chart for Location Based on Individual Measurements. Quality Engineering. 23(3). 227–241. 71 indexed citations
12.
Chakraborti, S. & Serkan Eryılmaz. (2007). A Nonparametric Shewhart-Type Signed-Rank Control Chart Based on Runs. Communications in Statistics - Simulation and Computation. 36(2). 335–356. 100 indexed citations
13.
Pitt, Robert E., et al.. (2005). Stormwater Quality Descriptions using the Three Parameter Lognormal Distribution. Journal of Water Management Modeling. 8 indexed citations
14.
Chakraborti, S., et al.. (2000). A class of distribution-free control charts. TU/e Research Portal (Eindhoven University of Technology). 200011. 2 indexed citations
15.
Chakraborti, S., et al.. (1999). Nonparametric statistical process control : an overview and some results. TU/e Research Portal (Eindhoven University of Technology). 9908. 4 indexed citations
16.
Chakraborti, S., et al.. (1998). Precedence tests and Lehmann alternatives. 9811. 1 indexed citations
17.
Chakraborti, S., et al.. (1996). Precedence tests for right-censored data : an overview and some results. TU/e Research Portal (Eindhoven University of Technology). 9601. 1 indexed citations
18.
Chakraborti, S. & Jean Dickinson Gibbons. (1992). One-sided nonparametric comparison of treatments with a standard in the one-way layout. Quality Engineering. 37(3). 161–164. 2 indexed citations
19.
Gibbons, Jean Dickinson & S. Chakraborti. (1992). Response to Zimmerman (1992). The Journal of Experimental Education. 60(4). 365–366. 1 indexed citations
20.
Chakraborti, S. & M. M. Desu. (1988). Generalizations of Mathisen's median test for comparing several treatments with a control. Communications in Statistics - Simulation and Computation. 17(3). 947–967. 5 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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