Mark J. Anderson

2.2k total citations · 2 hit papers
45 papers, 1.7k citations indexed

About

Mark J. Anderson is a scholar working on Management Science and Operations Research, Control and Systems Engineering and Computational Theory and Mathematics. According to data from OpenAlex, Mark J. Anderson has authored 45 papers receiving a total of 1.7k indexed citations (citations by other indexed papers that have themselves been cited), including 8 papers in Management Science and Operations Research, 4 papers in Control and Systems Engineering and 4 papers in Computational Theory and Mathematics. Recurrent topics in Mark J. Anderson's work include Optimal Experimental Design Methods (8 papers), Advanced Statistical Process Monitoring (4 papers) and Manufacturing Process and Optimization (3 papers). Mark J. Anderson is often cited by papers focused on Optimal Experimental Design Methods (8 papers), Advanced Statistical Process Monitoring (4 papers) and Manufacturing Process and Optimization (3 papers). Mark J. Anderson collaborates with scholars based in United States, Australia and United Kingdom. Mark J. Anderson's co-authors include Patrick J. Whitcomb, Siobhan McGurk, Brian Blanksby, Douglas A Terry, Jiju Antony, Douglas C. Montgomery, Shirley Coleman, Kyoungdoc Kim, Dariusz B. Baranowski and Michael A.P. Taylor and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Technometrics and Sports Medicine.

In The Last Decade

Mark J. Anderson

38 papers receiving 1.7k citations

Hit Papers

Design of Experiments: Statistical Principles of Research... 2001 2026 2009 2017 2001 2004 100 200 300 400 500
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. Design of Experiments: Statistical Principles of Research Design and Analysis
    2001 563 citations Mark J. Anderson, Patrick J. Whitcomb Technometrics profile →
  2. RSM Simplified: Optimizing Processes Using Response Surface Methods for Design of Experiments
    2004 508 citations Mark J. Anderson, Patrick J. Whitcomb profile →

Peers

Mark J. Anderson
Patrick J. Whitcomb India
Gary Sullivan United States
Siuli Mukhopadhyay India
Pinaki Bhattacharya India
Tingting Liu China
Angela Dean United Kingdom
Danel Draguljić United States
Brian K. O’Neill Australia
Ji‐Qin Ni United States
Patrick J. Whitcomb India
Mark J. Anderson
Citations per year, relative to Mark J. Anderson Mark J. Anderson (= 1×) peers Patrick J. Whitcomb

Countries citing papers authored by Mark J. Anderson

Since Specialization
Citations

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

Fields of papers citing papers by Mark J. Anderson

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Mark J. Anderson. 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 Mark J. Anderson. The network helps show where Mark J. Anderson may publish in the future.

Co-authorship network of co-authors of Mark J. Anderson

This figure shows the co-authorship network connecting the top 25 collaborators of Mark J. Anderson. A scholar is included among the top collaborators of Mark J. Anderson 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 Mark J. Anderson. Mark J. Anderson 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.
Anderson, Mark J.. (2025). How to handle hard-to-change factors via a split-plot design of experiment. Journal of Plastic Film & Sheeting. 41(2). 107–113.
2.
Jung, Chanwon, et al.. (2024). Mean-field modelling of γ' precipitation in additively manufactured IN738LC Ni-based superalloy. Materials Characterization. 217. 114315–114315. 3 indexed citations
3.
Anderson, Mark J.. (2024). Simple-comparative experiments done right. Journal of Plastic Film & Sheeting. 40(4). 334–337.
4.
Anderson, Mark J.. (2019). Microstructure Investigation and Cleaning of Chirped-FLSP Copper. Insecta mundi. 1 indexed citations
5.
Anderson, Mark J., et al.. (2018). Formulation Simplified: Finding the Sweet Spot through Design and Analysis of Experiments with Mixtures. CERN Document Server (European Organization for Nuclear Research). 10 indexed citations
6.
Terrill, Eric, Mark A. Moline, Patrick J. Scannon, et al.. (2017). Project Recover: Extending the Applications of Unmanned Platforms and Autonomy to Support Underwater MIA Searches. Oceanography. 30(2). 150–159. 3 indexed citations
7.
Anderson, Mark J. & Patrick J. Whitcomb. (2016). RSM Simplified: Optimizing Processes Using Response Surface Methods for Design of Experiments, Second Edition. 12 indexed citations
8.
Jennings, M. A., F. R. B. Ribeiro, Mark J. Anderson, et al.. (2015). Ractopamine hydrochloride and estradiol–trenbolone acetate implants alter live performance and carcass components of heifers during the finishing phase. The Professional Animal Scientist. 31(6). 543–551. 2 indexed citations
9.
Anderson, Mark J. & Patrick J. Whitcomb. (2015). DOE Simplified. Productivity Press eBooks. 74 indexed citations
10.
Anderson, Mark J. & Patrick J. Whitcomb. (2014). Practical Aspects for Designing Statistically Optimal Experiments. 2(3). 9 indexed citations
11.
Anderson, Mark J. & Patrick J. Whitcomb. (2007). Using Graphical Diagnostics to Deal With Bad Data. Quality Engineering. 19(2). 111–118. 10 indexed citations
12.
Anderson, Mark J. & Patrick J. Whitcomb. (2005). Practical Guide to Designed Experiments: A Unified Modular Approach. Technometrics. 47(4). 514–515. 2 indexed citations
13.
Anderson, Mark J. & Patrick J. Whitcomb. (2001). Design of Experiments: Statistical Principles of Research Design and Analysis. Technometrics. 43(2). 236–237. 563 indexed citations breakdown →
14.
Anderson, Mark J. & Patrick J. Whitcomb. (2000). DOE Simplified: Practical Tools for Effective Experimentation. CERN Document Server (European Organization for Nuclear Research). 255 indexed citations
15.
Anderson, Mark J. & Patrick J. Whitcomb. (1996). Optimization of paint formulations made easy with computer-aided design of experiments for mixtures. Journal of Coatings Technology. 68(858). 71–75. 10 indexed citations
16.
Anderson, Mark J. & Patrick J. Whitcomb. (1996). Optimize your process-optimization efforts. Chemical engineering progress. 92(12). 51–60. 11 indexed citations
17.
McGurk, Siobhan, Brian Blanksby, & Mark J. Anderson. (1995). The Relationship of Hypercapnic Ventilatory Responses to Age, Gender and Athleticism. Sports Medicine. 19(3). 173–183. 21 indexed citations
18.
Anderson, Mark J., et al.. (1988). Estimating the environmental impacts of road traffic at the local level: a PC-based modelling system. 2 indexed citations
19.
Anderson, Mark J., et al.. (1986). Some Aspects of Adaptability of Alternative Urban Configurations. Environment and Planning B Planning and Design. 13(3). 305–318. 1 indexed citations
20.
Anderson, Mark J.. (1953). RECENT WORK ON THE CHEMISTRY OF URANIUM OXIDES. 1 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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