Marit Schoonhoven

700 total citations
33 papers, 583 citations indexed

About

Marit Schoonhoven is a scholar working on Statistics, Probability and Uncertainty, Statistics and Probability and Control and Systems Engineering. According to data from OpenAlex, Marit Schoonhoven has authored 33 papers receiving a total of 583 indexed citations (citations by other indexed papers that have themselves been cited), including 26 papers in Statistics, Probability and Uncertainty, 19 papers in Statistics and Probability and 4 papers in Control and Systems Engineering. Recurrent topics in Marit Schoonhoven's work include Advanced Statistical Process Monitoring (26 papers), Scientific Measurement and Uncertainty Evaluation (20 papers) and Advanced Statistical Methods and Models (18 papers). Marit Schoonhoven is often cited by papers focused on Advanced Statistical Process Monitoring (26 papers), Scientific Measurement and Uncertainty Evaluation (20 papers) and Advanced Statistical Methods and Models (18 papers). Marit Schoonhoven collaborates with scholars based in Netherlands, Pakistan and Saudi Arabia. Marit Schoonhoven's co-authors include Ronald J. M. M. Does, Muhammad Riaz, Hafiz Zafar Nazir, Inez Maria Zwetsloot, Jeroen de Mast, Eugenio K. Epprecht, Subha Chakraborti, Álvaro Veiga, Joran Lokkerbol and Ş. İlker Birbil and has published in prestigious journals such as Journal of the American Statistical Association, Technometrics and International Journal of Production Research.

In The Last Decade

Marit Schoonhoven

32 papers receiving 567 citations

Peers

Marit Schoonhoven

SPU

CSE

MSOR

MIS

L. Allison Jones United States

Athanasios C. Rakitzis Greece

Nesma A. Saleh Egypt

Vasileios Alevizakos Greece

Eugenio K. Epprecht Brazil

Jean‐Claude Malela‐Majika South Africa

Alireza Faraz Belgium

Maysa S. De Magalhães Brazil

Patrick D. Bourke Ireland

D. T. Shirke India

L. Allison Jones United States

Marit Schoonhoven

636 ×1.3

SPU

325 ×1.0

124 ×1.2

CSE

95 ×1.3

MSOR

28 ×0.6

MIS

Citations per year, relative to Marit Schoonhoven Marit Schoonhoven (= 1×) peers L. Allison Jones

Countries citing papers authored by Marit Schoonhoven

Since Specialization

Citations

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

Fields of papers citing papers by Marit Schoonhoven

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Marit Schoonhoven

This figure shows the co-authorship network connecting the top 25 collaborators of Marit Schoonhoven. A scholar is included among the top collaborators of Marit Schoonhoven 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 Marit Schoonhoven. Marit Schoonhoven is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

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20 of 20 papers shown

Schoonhoven, Marit, et al.. (2024). Bayesian Structure Learning in Undirected Gaussian Graphical Models: Literature Review with Empirical Comparison. Journal of the American Statistical Association. 119(548). 3164–3182. 6 indexed citations

Heijink, Andras, Jaap van den Heuvel, & Marit Schoonhoven. (2021). Increasing efficiency in healthcare: a showcase in an orthopedic outpatient clinic. International Journal of Lean Six Sigma. 13(1). 33–45. 2 indexed citations

Schoonhoven, Marit, et al.. (2020). Multilevel process monitoring: A case study to predict student success or failure. Journal of Quality Technology. 54(2). 127–143. 6 indexed citations

Schoonhoven, Marit, et al.. (2020). The effect of continuously updating control chart limits on control chart performance. Quality and Reliability Engineering International. 36(6). 2202–2202. 1 indexed citations

Schoonhoven, Marit, et al.. (2018). The performance of control charts for large non‐normally distributed datasets. Quality and Reliability Engineering International. 34(6). 979–996. 18 indexed citations

Schoonhoven, Marit, et al.. (2018). Discussion. Journal of Quality Technology. 50(1). 17–19. 3 indexed citations

Schoonhoven, Marit, et al.. (2017). Guaranteed In-Control Performance for the ShewhartXandXControl Charts. Journal of Quality Technology. 49(2). 155–171. 51 indexed citations

Schoonhoven, Marit, et al.. (2016). Discussion of “Bridging the gap between theory and practice in basic statistical process monitoring”. Quality Engineering. 29(1). 18–21. 1 indexed citations

Schoonhoven, Marit. (2016). On the Use of the Expected ARL Metric for Control Charts Based on Estimated Parameters. Quality and Reliability Engineering International. 33(4). 745–749. 1 indexed citations

10.

Schoonhoven, Marit, et al.. (2016). Correction factors for Shewhart and control charts to achieve desired unconditional ARL. International Journal of Production Research. 54(24). 7464–7479. 21 indexed citations

11.

Zwetsloot, Inez Maria, Marit Schoonhoven, & Ronald J. M. M. Does. (2015). A robust estimator for location in phase I based on an EWMA chart. Quality Engineering. 60(5). 433–434. 1 indexed citations

12.

Zwetsloot, Inez Maria, Marit Schoonhoven, & Ronald J. M. M. Does. (2014). A Robust Phase I Exponentially Weighted Moving Average Chart for Dispersion. Quality and Reliability Engineering International. 31(6). 989–999. 21 indexed citations

13.

Nazir, Hafiz Zafar, Marit Schoonhoven, Muhammad Riaz, & Ronald J. M. M. Does. (2014). Quality Quandaries: A Stepwise Approach for Setting Up a Robust Shewhart Location Control Chart. Quality Engineering. 26(2). 246–252. 8 indexed citations

14.

Does, Ronald J. M. M., Jeroen de Mast, & Marit Schoonhoven. (2014). Discussion of “An Emerging Science of Improvement in Health Care”. Quality Engineering. 27(1). 35–40. 4 indexed citations

15.

Schoonhoven, Marit, Hafiz Zafar Nazir, Muhammad Riaz, & Ronald J. M. M. Does. (2013). Robust location estimators for the X control chart. Quality Engineering. 58(1). 25–26. 16 indexed citations

16.

Schoonhoven, Marit, Muhammad Riaz, & Ronald J. M. M. Does. (2013). Design and analysis of control charts for standard deviation with estimated parameters. Quality Engineering. 58(1). 23–24. 3 indexed citations

17.

Schoonhoven, Marit, et al.. (2013). Quality Quandaries: Shortening the Throughput Time of a Hospital's Billing Process. Quality Engineering. 25(2). 188–193. 9 indexed citations

18.

Schoonhoven, Marit & Ronald J. M. M. Does. (2012). A Robust Control Chart. Quality and Reliability Engineering International. 29(7). 951–970. 21 indexed citations

19.

Schoonhoven, Marit, Hafiz Zafar Nazir, Muhammad Riaz, & Ronald J. M. M. Does. (2011). Robust Location Estimators for the Ū Control Chart. Journal of Quality Technology. 43(4). 363–379. 44 indexed citations

20.

Schoonhoven, Marit & Ronald J. M. M. Does. (2009). The X control chart under non‐normality. Quality and Reliability Engineering International. 26(2). 167–176. 35 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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