Marcus B. Perry

663 total citations
38 papers, 459 citations indexed

About

Marcus B. Perry is a scholar working on Statistics, Probability and Uncertainty, Statistics and Probability and Management Science and Operations Research. According to data from OpenAlex, Marcus B. Perry has authored 38 papers receiving a total of 459 indexed citations (citations by other indexed papers that have themselves been cited), including 22 papers in Statistics, Probability and Uncertainty, 17 papers in Statistics and Probability and 9 papers in Management Science and Operations Research. Recurrent topics in Marcus B. Perry's work include Advanced Statistical Process Monitoring (19 papers), Advanced Statistical Methods and Models (16 papers) and Scientific Measurement and Uncertainty Evaluation (13 papers). Marcus B. Perry is often cited by papers focused on Advanced Statistical Process Monitoring (19 papers), Advanced Statistical Methods and Models (16 papers) and Scientific Measurement and Uncertainty Evaluation (13 papers). Marcus B. Perry collaborates with scholars based in United States, Canada and Australia. Marcus B. Perry's co-authors include Joseph J. Pignatiello, James Simpson, Zhi Wang, M.L. Walker, Sharif H. Melouk, Srijan Sengupta, George Michailidis, M. Ravi Shankar, Peter A. Parker and Michael D. Conerly and has published in prestigious journals such as International Journal of Production Research, Computational Statistics & Data Analysis and Journal of Quality Technology.

In The Last Decade

Marcus B. Perry

38 papers receiving 443 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Marcus B. Perry United States 12 354 218 154 60 46 38 459
Ansgar Steland Germany 11 146 0.4× 208 1.0× 37 0.2× 45 0.8× 64 1.4× 72 411
Xuemin Zi China 11 309 0.9× 248 1.1× 108 0.7× 57 0.9× 37 0.8× 29 406
Jyh‐Jen Horng Shiau Taiwan 11 152 0.4× 229 1.1× 87 0.6× 35 0.6× 40 0.9× 23 352
Manju Agarwal India 12 142 0.4× 140 0.6× 35 0.2× 82 1.4× 39 0.8× 42 442
Sharad S. Prabhu United States 9 975 2.8× 506 2.3× 246 1.6× 115 1.9× 25 0.5× 12 1.0k
Norma Faris Hubele United States 11 343 1.0× 147 0.7× 189 1.2× 60 1.0× 79 1.7× 15 419
Weiyong Ding China 12 173 0.5× 231 1.1× 47 0.3× 35 0.6× 19 0.4× 29 327
Mahbanoo Tata Iran 6 21 0.1× 219 1.0× 218 1.4× 261 4.3× 37 0.8× 9 364
Soroosh Shafieezadeh-Abadeh Switzerland 8 33 0.1× 51 0.2× 62 0.4× 94 1.6× 66 1.4× 15 254
Michael Tortorella United States 9 157 0.4× 93 0.4× 23 0.1× 24 0.4× 7 0.2× 35 365

Countries citing papers authored by Marcus B. Perry

Since Specialization
Citations

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

Fields of papers citing papers by Marcus B. Perry

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Marcus B. Perry. 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 Marcus B. Perry. The network helps show where Marcus B. Perry may publish in the future.

Co-authorship network of co-authors of Marcus B. Perry

This figure shows the co-authorship network connecting the top 25 collaborators of Marcus B. Perry. A scholar is included among the top collaborators of Marcus B. Perry 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 Marcus B. Perry. Marcus B. Perry 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.
Perry, Marcus B.. (2024). Joint monitoring of location and scale for modern univariate processes. Journal of Quality Technology. 56(5). 409–427. 2 indexed citations
2.
Stevens, Nathaniel T., James Wilson, Ian McCulloh, et al.. (2021). The interdisciplinary nature of network monitoring: Advantages and disadvantages. Quality Engineering. 33(4). 731–735. 1 indexed citations
3.
Stevens, Nathaniel T., James Wilson, Ian McCulloh, et al.. (2021). Broader impacts of network monitoring: Its role in government, industry, technology, and beyond. Quality Engineering. 33(4). 749–757. 2 indexed citations
4.
Stevens, Nathaniel T., James Wilson, Ian McCulloh, et al.. (2021). Research in network monitoring: Connections with SPM and new directions. Quality Engineering. 33(4). 736–748. 6 indexed citations
5.
Stevens, Nathaniel T., James Wilson, Ian McCulloh, et al.. (2021). Foundations of network monitoring: Definitions and applications. Quality Engineering. 33(4). 719–730. 3 indexed citations
6.
Perry, Marcus B., et al.. (2019). Improving computational performance in likelihood‐based network clustering. Stat. 8(1). 1 indexed citations
7.
Perry, Marcus B.. (2018). On the detection of transitive clusters in undirected networks. Journal of Applied Statistics. 46(2). 364–384. 5 indexed citations
8.
Perry, Marcus B.. (2016). Reduced-bias Moment Approximations in Original Units When Using Multivariate Box-Cox Transformations. Quality and Reliability Engineering International. 33(2). 297–306. 2 indexed citations
9.
Perry, Marcus B., et al.. (2014). Detecting Shift Moments in Construction Activity to Estimate Disaster Recovery. 35. 1148–1157. 1 indexed citations
10.
Perry, Marcus B., et al.. (2012). On the Analysis of Balanced Two‐Level Factorial Whole‐Plot Saturated Split‐Plot Designs. Quality and Reliability Engineering International. 29(3). 327–343. 3 indexed citations
11.
Deckro, Richard F., et al.. (2012). Modeling and Analysis of Clandestine Networks. Defense Technical Information Center (DTIC). 2 indexed citations
12.
Perry, Marcus B. & Joseph J. Pignatiello. (2011). Identifying the time of change in the mean of a two-stage nested process. Journal of Applied Statistics. 39(2). 419–433. 1 indexed citations
13.
Perry, Marcus B. & Joseph J. Pignatiello. (2010). Estimating the time of step change with Poisson CUSUM and EWMA control charts. International Journal of Production Research. 49(10). 2857–2871. 12 indexed citations
14.
Perry, Marcus B., et al.. (2010). Phase II monitoring of covariance stationary autocorrelated processes. Quality and Reliability Engineering International. 27(1). 35–45. 2 indexed citations
15.
Perry, Marcus B.. (2009). Identifying the time of polynomial drift in the mean of autocorrelated processes. Quality and Reliability Engineering International. 26(5). 399–415. 12 indexed citations
16.
Perry, Marcus B., Joseph J. Pignatiello, & James Simpson. (2007). A MAGNITUDE-ROBUST CONTROL CHART FOR MONITORING AND ESTIMATING STEP CHANGES IN A POISSON RATE PARAMETER. International Journal of Reliability Quality and Safety Engineering. 14(1). 1–19. 5 indexed citations
17.
Perry, Marcus B., Joseph J. Pignatiello, & James Simpson. (2006). Change point estimation for monotonically changing Poisson rates in SPC. International Journal of Production Research. 45(8). 1791–1813. 34 indexed citations
18.
Perry, Marcus B., Joseph J. Pignatiello, & James Simpson. (2006). Estimating the Change Point of the Process Fraction Non‐conforming with a Monotonic Change Disturbance in SPC. Quality and Reliability Engineering International. 23(3). 327–339. 45 indexed citations
19.
Perry, Marcus B. & Joseph J. Pignatiello. (2006). Estimation of the Change Point of a Normal Process Mean with a Linear Trend Disturbance in SPC. Quality Technology & Quantitative Management. 3(3). 325–334. 58 indexed citations
20.
Perry, Marcus B., et al.. (2001). Control chart pattern recognition using back propagation artificial neural networks. International Journal of Production Research. 39(15). 3399–3418. 53 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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