Subha Chakraborti

1.1k total citations
20 papers, 800 citations indexed

About

Subha Chakraborti is a scholar working on Statistics, Probability and Uncertainty, Statistics and Probability and Management Science and Operations Research. According to data from OpenAlex, Subha Chakraborti has authored 20 papers receiving a total of 800 indexed citations (citations by other indexed papers that have themselves been cited), including 17 papers in Statistics, Probability and Uncertainty, 11 papers in Statistics and Probability and 3 papers in Management Science and Operations Research. Recurrent topics in Subha Chakraborti's work include Advanced Statistical Process Monitoring (17 papers), Scientific Measurement and Uncertainty Evaluation (14 papers) and Advanced Statistical Methods and Models (9 papers). Subha Chakraborti is often cited by papers focused on Advanced Statistical Process Monitoring (17 papers), Scientific Measurement and Uncertainty Evaluation (14 papers) and Advanced Statistical Methods and Models (9 papers). Subha Chakraborti collaborates with scholars based in United States, India and Netherlands. Subha Chakraborti's co-authors include Ji‐Hyun Lee, Allison Handler, David J. Weber, Michael R. Knowles, Rebecca W. Wilson, Kenneth N. Olivier, Yansheng Zhang, Richard J. Wallace, Michael S. Schechter and Lloyd J. Edwards and has published in prestigious journals such as Journal of the American Statistical Association, American Journal of Respiratory and Critical Care Medicine and International Journal of Production Research.

In The Last Decade

Subha Chakraborti

20 papers receiving 789 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Subha Chakraborti United States 12 414 293 257 217 174 20 800
Michele Scagliarini Italy 11 52 0.1× 176 0.6× 11 0.0× 4 0.0× 80 0.5× 32 351
Jennifer R. Cook South Africa 8 7 0.0× 114 0.4× 5 0.0× 54 0.2× 47 0.3× 11 364
James D. Williams United States 9 52 0.1× 326 1.1× 13 0.1× 3 0.0× 229 1.3× 15 501
Michael Bourque United States 8 653 1.6× 7 0.0× 763 3.0× 98 0.5× 8 0.0× 13 906
Louis R. Joslyn United States 8 95 0.2× 13 0.0× 121 0.5× 4 0.0× 5 0.0× 13 429
R. S. Singh Canada 10 38 0.1× 27 0.1× 50 0.2× 2 0.0× 205 1.2× 18 326
Brigitte Walther Gambia 12 116 0.3× 9 0.0× 119 0.5× 3 0.0× 5 0.0× 23 601
Amit Kaushik United States 18 478 1.2× 6 0.0× 507 2.0× 91 0.4× 51 953
Ayca Ozol-Godfrey United States 9 132 0.3× 18 0.1× 101 0.4× 1 0.0× 10 0.1× 22 302
Chenyu Han China 6 29 0.1× 17 0.1× 82 0.3× 49 0.2× 2 0.0× 12 380

Countries citing papers authored by Subha Chakraborti

Since Specialization
Citations

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

Fields of papers citing papers by Subha Chakraborti

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Subha Chakraborti

This figure shows the co-authorship network connecting the top 25 collaborators of Subha Chakraborti. A scholar is included among the top collaborators of Subha 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 Subha Chakraborti. Subha 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, Subha, et al.. (2023). Phase I control chart for individual autocorrelated data: application to prescription opioid monitoring. Journal of Quality Technology. 55(3). 302–317. 5 indexed citations
2.
Rakitzis, Athanasios C., et al.. (2022). Statistical design of ATS-unbiased charts with runs rules for monitoring exponential time between events. Communication in Statistics- Theory and Methods. 53(3). 815–833. 4 indexed citations
3.
Chakraborti, Subha, et al.. (2021). Phase I monitoring of individual normal data: Design and implementation. Quality Engineering. 33(3). 443–456. 5 indexed citations
4.
Chakraborti, Subha, et al.. (2021). Phase II exponential charts for monitoring time between events data: performance analysis using exact conditional average time to signal distribution. Journal of Statistical Computation and Simulation. 92(7). 1457–1486. 7 indexed citations
5.
Chakraborti, Subha, et al.. (2019). Approximate two-sided tolerance interval for sample variances. Quality Engineering. 32(1). 10–24. 4 indexed citations
6.
Chakraborti, Subha, et al.. (2019). Shewhart‐type Phase II control charts for monitoring times to an event with a guaranteed in‐control and good out‐of‐control performance. Quality and Reliability Engineering International. 36(1). 231–246. 5 indexed citations
7.
Chakraborti, Subha, et al.. (2019). An alternative design of the two-sided CUSUM chart for monitoring the mean when parameters are estimated. Computers & Industrial Engineering. 137. 106042–106042. 14 indexed citations
8.
Chakraborti, Subha, et al.. (2019). Guaranteed in‐control performance of the EWMA chart for monitoring the mean. Quality and Reliability Engineering International. 35(4). 1144–1160. 13 indexed citations
9.
Schoonhoven, Marit, et al.. (2017). Shewhart control charts for dispersion adjusted for parameter estimation. IISE Transactions. 49(8). 838–848. 42 indexed citations
10.
Chakraborti, Subha, et al.. (2017). Bayesian Monitoring of Times Between Events: The Shewharttr-Chart. Journal of Quality Technology. 49(2). 136–154. 18 indexed citations
11.
Celano, Giovanni, Philippe Castagliola, & Subha Chakraborti. (2016). Joint Shewhart control charts for location and scale monitoring in finite horizon processes. Computers & Industrial Engineering. 101. 427–439. 20 indexed citations
12.
Saghir, Aamir, Yousaf Ali Khan, & Subha Chakraborti. (2015). The Phase I Dispersion Charts for Bivariate Process Monitoring. Quality and Reliability Engineering International. 32(5). 1807–1823. 5 indexed citations
13.
Chakraborti, Subha, Peihua Qiu, & Amitava Mukherjee. (2015). Editorial to the Special Issue: Nonparametric Statistical Process Control Charts. Quality and Reliability Engineering International. 31(1). 1–2. 28 indexed citations
14.
Celano, Giovanni, Philippe Castagliola, Subha Chakraborti, & George Nenes. (2015). The performance of the Shewhart sign control chart for finite horizon processes. The International Journal of Advanced Manufacturing Technology. 21 indexed citations
15.
Graham, Marien Alet, Subha Chakraborti, & Amitava Mukherjee. (2014). Design and implementation of CUSUM exceedance control charts for unknown location. International Journal of Production Research. 52(18). 5546–5564. 52 indexed citations
16.
Chakraborti, Subha. (2007). Parameter estimation and design considerations in prospective applications of the X chart. Quality Engineering. 52(2). 131–136. 1 indexed citations
17.
Chakraborti, Subha. (2006). Parameter estimation and design considerations in prospective applications of theX¯ chart. Journal of Applied Statistics. 33(4). 439–459. 50 indexed citations
18.
Olivier, Kenneth N., David J. Weber, Richard J. Wallace, et al.. (2003). Nontuberculous Mycobacteria: I: Multicenter Prevalence Study in Cystic Fibrosis. American Journal of Respiratory and Critical Care Medicine. 167(6). 828–834. 464 indexed citations
19.
Laan, P. van der & Subha Chakraborti. (2001). Precedence tests and Lehmann alternatives. Statistical Papers. 42(3). 301–312. 19 indexed citations
20.
Chakraborti, Subha, et al.. (1996). Statistical Analysis of Nonnormal Data.. Journal of the American Statistical Association. 91(436). 1750–1750. 23 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

Breakdown of academic impact, for papers by Michele Scagliarini Breakdown of academic impact, for papers by Jennifer R. Cook Breakdown of academic impact, for papers by James D. Williams Breakdown of academic impact, for papers by Michael Bourque Breakdown of academic impact, for papers by Louis R. Joslyn Breakdown of academic impact, for papers by R. S. Singh Breakdown of academic impact, for papers by Brigitte Walther Breakdown of academic impact, for papers by Amit Kaushik Breakdown of academic impact, for papers by Ayca Ozol-Godfrey Breakdown of academic impact, for papers by Chenyu Han
Rankless by CCL
2026