L. Allison Jones‐Farmer

3.6k total citations · 2 hit papers
53 papers, 2.6k citations indexed

About

L. Allison Jones‐Farmer is a scholar working on Statistics, Probability and Uncertainty, Statistics and Probability and Management Information Systems. According to data from OpenAlex, L. Allison Jones‐Farmer has authored 53 papers receiving a total of 2.6k indexed citations (citations by other indexed papers that have themselves been cited), including 23 papers in Statistics, Probability and Uncertainty, 16 papers in Statistics and Probability and 9 papers in Management Information Systems. Recurrent topics in L. Allison Jones‐Farmer's work include Advanced Statistical Process Monitoring (22 papers), Scientific Measurement and Uncertainty Evaluation (12 papers) and Advanced Statistical Methods and Models (12 papers). L. Allison Jones‐Farmer is often cited by papers focused on Advanced Statistical Process Monitoring (22 papers), Scientific Measurement and Uncertainty Evaluation (12 papers) and Advanced Statistical Methods and Models (12 papers). L. Allison Jones‐Farmer collaborates with scholars based in United States, Netherlands and Italy. L. Allison Jones‐Farmer's co-authors include Benjamin T. Hazen, Charles W. Champ, William H. Woodall, Jeremy D. Ezell, Christopher A. Boone, Willis A. Jensen, Casey G. Cegielski, Yun Wu, Fadel M. Megahed and Stefan H. Steiner and has published in prestigious journals such as SHILAP Revista de lepidopterología, PLoS ONE and Technometrics.

In The Last Decade

L. Allison Jones‐Farmer

46 papers receiving 2.5k citations

Hit Papers

align trajectories

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.

Data quality for data science, predictive analytics, and big data in supply chain management: An introduction to the problem and suggestions for research and applications

2014 577 citations Benjamin T. Hazen, L. Allison Jones‐Farmer et al. International Journal of Production Economics profile →
How generative AI models such as ChatGPT can be (mis)used in SPC practice, education, and research? An exploratory study

2023 104 citations Fadel M. Megahed, Ying‐Ju Chen et al. Quality Engineering profile →

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
L. Allison Jones‐Farmer United States	22	1.1k	679	593	482	445	53	2.6k
Zhen He China	33	961 0.9×	685 1.0×	549 0.9×	692 1.4×	882 2.0×	243	3.7k
T. N. Goh Singapore	37	2.1k 2.0×	722 1.1×	1.2k 2.1×	513 1.1×	633 1.4×	139	3.7k
Bengt Klefsjö Sweden	28	535 0.5×	1.1k 1.6×	845 1.4×	847 1.8×	652 1.5×	88	3.1k
Kwei Tang United States	26	536 0.5×	446 0.7×	150 0.3×	215 0.4×	305 0.7×	89	1.8k
Kwang-Jae Kim South Korea	27	477 0.4×	225 0.3×	108 0.2×	179 0.4×	934 2.1×	109	2.9k
Roger W. Hoerl United States	24	289 0.3×	1.1k 1.6×	362 0.6×	745 1.5×	466 1.0×	62	2.0k
Geert‐Jan van Houtum Netherlands	34	321 0.3×	1.9k 2.8×	163 0.3×	762 1.6×	679 1.5×	160	3.4k
Ching‐Torng Lin Taiwan	19	180 0.2×	633 0.9×	118 0.2×	908 1.9×	1.2k 2.7×	35	2.5k
Wenyan Song China	30	419 0.4×	302 0.4×	59 0.1×	920 1.9×	1.2k 2.6×	77	2.7k
Mohamed Ben‐Daya Saudi Arabia	39	671 0.6×	2.8k 4.2×	173 0.3×	2.3k 4.8×	500 1.1×	92	5.2k

Countries citing papers authored by L. Allison Jones‐Farmer

Since Specialization

Citations

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

Fields of papers citing papers by L. Allison Jones‐Farmer

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by L. Allison Jones‐Farmer. 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 L. Allison Jones‐Farmer. The network helps show where L. Allison Jones‐Farmer may publish in the future.

Co-authorship network of co-authors of L. Allison Jones‐Farmer

This figure shows the co-authorship network connecting the top 25 collaborators of L. Allison Jones‐Farmer. A scholar is included among the top collaborators of L. Allison Jones‐Farmer 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 L. Allison Jones‐Farmer. L. Allison Jones‐Farmer 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

Jones‐Farmer, L. Allison, Fadel M. Megahed, Ying‐Ju Chen, et al.. (2024). Editorial advice for selecting an open-source license for your next paper: Navigating copyrights for publicly facing AI chatbots. Journal of Quality Technology. 56(5). 468–473.

Megahed, Fadel M., Ying‐Ju Chen, Inez Maria Zwetsloot, et al.. (2024). Introducing ChatSQC: Enhancing statistical quality control with augmented AI. Journal of Quality Technology. 56(5). 474–497. 1 indexed citations

Megahed, Fadel M., Ying‐Ju Chen, L. Allison Jones‐Farmer, et al.. (2024). Comparing classifier performance with baselines. Nature Methods. 21(4). 546–548. 1 indexed citations

Jones‐Farmer, L. Allison, et al.. (2024). Next Editor of the Journal of Quality Technology : Dr. Rong Pan. Journal of Quality Technology. 56(1). 1–1.

Megahed, Fadel M., et al.. (2023). How generative AI models such as ChatGPT can be (mis)used in SPC practice, education, and research? An exploratory study. Quality Engineering. 36(2). 287–315. 104 indexed citations breakdown →

Chen, Ying‐Ju, et al.. (2021). Explaining Predictive Model Performance: An Experimental Study of Data Preparation and Model Choice. Big Data. 11(3). 199–214. 5 indexed citations

Colosimo, Bianca Maria, Enrique Del Castillo, L. Allison Jones‐Farmer, & Kamran Paynabar. (2021). Artificial intelligence and statistics for quality technology: an introduction to the special issue. Journal of Quality Technology. 53(5). 443–453. 15 indexed citations

Jones‐Farmer, L. Allison, et al.. (2016). Learning technologies: bridging the gap between intention, adoption and routine use. International journal of engineering education. 32(5). 2107–2120. 2 indexed citations

Martinez, Waldyn G., et al.. (2016). Statistical Learning Methods Applied to Process Monitoring: An Overview and Perspective. Journal of Quality Technology. 48(1). 4–24. 72 indexed citations

10.

Sankar, Chetan S., et al.. (2015). Conceptualizing interactions between innovation characteristics and organizational members’readiness to adopt educational innovations. International journal of engineering education. 31(4). 967–985. 3 indexed citations

11.

Kung, LeeAnn, Hsiang‐Jui Kung, L. Allison Jones‐Farmer, & Yichuan Wang. (2015). Managing Big Data for Firm Performance: a Configurational Approach. Journal of the Association for Information Systems. 17 indexed citations

12.

Woodall, William H., et al.. (2015). The Conditional In-Control Performance of Self-Starting Control Charts. Quality Engineering. 27(4). 488–499. 31 indexed citations

13.

Hazen, Benjamin T., LeeAnn Kung, Casey G. Cegielski, & L. Allison Jones‐Farmer. (2014). Performance expectancy and use of enterprise architecture: training as an intervention. Journal of Enterprise Information Management. 27(2). 180–196. 23 indexed citations

14.

Cegielski, Casey G., et al.. (2014). Identifying Characteristics of Dissemination Success Using an Expert Panel. Decision Sciences Journal of Innovative Education. 12(4). 357–380. 21 indexed citations

15.

Cegielski, Casey G., L. Allison Jones‐Farmer, Yun Wu, & Benjamin T. Hazen. (2012). Adoption of cloud computing technologies in supply chains. The International Journal of Logistics Management. 23(2). 184–211. 190 indexed citations

16.

Hazen, Benjamin T., et al.. (2011). The role of ambiguity tolerance in consumer perception of remanufactured products. International Journal of Production Economics. 135(2). 781–790. 164 indexed citations

17.

Jones‐Farmer, L. Allison. (2010). The Effect of Among-Group Dependence on the Invariance Likelihood Ratio Test. Structural Equation Modeling A Multidisciplinary Journal. 17(3). 464–480. 3 indexed citations

18.

Jones‐Farmer, L. Allison & Charles W. Champ. (2010). A Distribution-Free Phase I Control Chart for Subgroup Scale. Journal of Quality Technology. 42(4). 373–387. 33 indexed citations

19.

Jensen, Willis A., L. Allison Jones‐Farmer, Charles W. Champ, & William H. Woodall. (2007). Effects of parameter estimation on control chart properties: A literature review. Quality Engineering. 52(3). 245–248. 17 indexed citations

20.

Champ, Charles W. & L. Allison Jones‐Farmer. (2007). Properties of Multivariate Control Charts with Estimated Parameters. Sequential Analysis. 26(2). 153–169. 20 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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