L. Allison Jones‐Farmer
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- Advanced Statistical Process Monitoring 22
- Scientific Measurement and Uncertainty Evaluation 12
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- Big Data and Business Intelligence 7
- Statistics and Probability top 0.5%
- Advanced Statistical Methods and Models 12
- Health Informatics top 2%
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- Anomaly Detection Techniques and Applications 6
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- Technology Adoption and User Behaviour 5
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- Fault Detection and Control Systems 4
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- Data Quality and Management 4
- Co-authors
- Benjamin T. HazenCharles W. ChampWilliam H. WoodallJeremy D. EzellChristopher A. BooneWillis A. JensenCasey G. CegielskiYun Wu
- Cited by
- Statistics, Probability and UncertaintyMedical Laboratory TechnologyManagement Information Systems
- Journals
- SHILAP Revista de lepidopterología (1 paper)PLoS ONE (1 paper)Technometrics (4 papers)
- Partner nations
- United StatesNetherlandsItaly
In The Last Decade
L. Allison Jones‐Farmer
46 papers receiving 2.5k citations
Hit Papers
Peers
Comparison fields: 5 of 129
- Statistics, Probability and Uncertainty 1.1k
- Medical Laboratory Technology 122
- Management Information Systems 679
- Statistics and Probability 593
- Health Informatics 65
Countries citing papers authored by L. Allison Jones‐Farmer
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
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
The 25 scholars most cited alongside L. Allison Jones‐Farmer, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2024 | 1 | |
| 2 | 2024 | 0 | |
| 3 | 2024 | 1 | |
| 4 | How generative AI models such as ChatGPT can be (mis)used in SPC practice, education, and research? An exploratory studybreakdown → | 2023 | 104 |
| 5 | 2022 | 0 | |
| 6 | 2021 | 5 | |
| 7 | 2021 | 15 | |
| 8 | 2021 | 4 | |
| 9 | 2020 | 37 | |
| 10 | Learning technologies: bridging the gap between intention, adoption and routine use | 2016 | 2 |
| 11 | Conceptualizing interactions between innovation characteristics and organizational members’readiness to adopt educational innovations | 2015 | 3 |
| 12 | 2015 | 31 | |
| 13 | 2015 | 17 | |
| 14 | 2014 | 23 | |
| 15 | 2014 | 21 | |
| 16 | 2012 | 190 | |
| 17 | 2010 | 3 | |
| 18 | 2010 | 33 | |
| 19 | Effects of parameter estimation on control chart properties: A literature review | 2007 | 17 |
| 20 | 2007 | 20 |
About L. Allison Jones‐Farmer
L. Allison Jones‐Farmer is a scholar working on Statistics, Probability and Uncertainty, Medical Laboratory Technology and Statistics and Probability, having authored 53 papers that have together received 2.6k indexed citations. Recurring topics across this work include Advanced Statistical Process Monitoring (22 papers), Scientific Measurement and Uncertainty Evaluation (12 papers), Advanced Statistical Methods and Models (12 papers), Big Data and Business Intelligence (7 papers), Anomaly Detection Techniques and Applications (6 papers), Technology Adoption and User Behaviour (5 papers), Fault Detection and Control Systems (4 papers) and Data Quality and Management (4 papers). The work is most often cited by research in Statistics, Probability and Uncertainty (1.1k citations), Medical Laboratory Technology (122 citations) and Management Information Systems (679 citations). L. Allison Jones‐Farmer has collaborated with scholars based in United States, Netherlands and Italy. Frequent 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. Their work appears in journals such as SHILAP Revista de lepidopterología, PLoS ONE and Technometrics.
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.