Thurston Sexton

535 total citations
24 papers, 385 citations indexed

About

Thurston Sexton is a scholar working on Artificial Intelligence, Information Systems and Safety, Risk, Reliability and Quality. According to data from OpenAlex, Thurston Sexton has authored 24 papers receiving a total of 385 indexed citations (citations by other indexed papers that have themselves been cited), including 9 papers in Artificial Intelligence, 8 papers in Information Systems and 6 papers in Safety, Risk, Reliability and Quality. Recurrent topics in Thurston Sexton's work include Software Engineering Research (7 papers), Quality and Safety in Healthcare (6 papers) and Data Quality and Management (6 papers). Thurston Sexton is often cited by papers focused on Software Engineering Research (7 papers), Quality and Safety in Healthcare (6 papers) and Data Quality and Management (6 papers). Thurston Sexton collaborates with scholars based in United States, Australia and Egypt. Thurston Sexton's co-authors include Michael P. Brundage, Melinda Hodkiewicz, Alden Dima, K. C. Morris, Mark Fuge, Guoxian Xiao, Jorge Arinez, Farhad Ameri, Kwan‐Liu Ma and Jun Ni and has published in prestigious journals such as SHILAP Revista de lepidopterología, Energies and Journal of Mechanical Design.

In The Last Decade

Thurston Sexton

24 papers receiving 370 citations

Peers

Thurston Sexton

MSOR

SRRQ

IME

François de Bertrand de Beuvron France

Tangming Yuan United Kingdom

Juan Pablo Usuga Cadavid France

Jon Holt United Kingdom

Pavol Tanuška Slovakia

Arnaud Fortin France

Ralf Gitzel Germany

Mohamed Hedi Karray France

Fatima Benbouzid-Si Tayeb Algeria

Adrien Bécue Portugal

François de Bertrand de Beuvron France

Thurston Sexton

116 ×0.8

43 ×0.5

25 ×0.3

MSOR

36 ×0.6

SRRQ

130 ×2.5

IME

Citations per year, relative to Thurston Sexton Thurston Sexton (= 1×) peers François de Bertrand de Beuvron

Countries citing papers authored by Thurston Sexton

Since Specialization

Citations

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

Fields of papers citing papers by Thurston Sexton

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Thurston Sexton

This figure shows the co-authorship network connecting the top 25 collaborators of Thurston Sexton. A scholar is included among the top collaborators of Thurston Sexton 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 Thurston Sexton. Thurston Sexton 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

Zhang, Xiaoyu, et al.. (2023). LabelVizier: Interactive Validation and Relabeling for Technical Text Annotations. 167–176. 7 indexed citations

Sexton, Thurston, et al.. (2023). KPI Extraction from Maintenance Work Orders—A Comparison of Expert Labeling, Text Classification and AI-Assisted Tagging for Computing Failure Rates of Wind Turbines. Energies. 16(24). 7937–7937. 3 indexed citations

Conte, Anna, et al.. (2021). Impact of Data Quality on Maintenance Work Order Analysis: A Case Study in Historical HVAC Maintenance Work Orders. PHM Society European Conference. 6(1). 11–11. 1 indexed citations

Hodkiewicz, Melinda, et al.. (2021). Rethinking Maintenance Terminology for an Industry 4.0 Future. International Journal of Prognostics and Health Management. 12(1). 12 indexed citations

Brundage, Michael P., et al.. (2021). Discovering critical KPI factors from natural language in maintenance work orders. Journal of Intelligent Manufacturing. 33(6). 1859–1877. 27 indexed citations

Brundage, Michael P., et al.. (2021). Data-Driven Framework for Team Formation for Maintenance Tasks. International Journal of Prognostics and Health Management. 12(1). 2 indexed citations

Brundage, Michael P., et al.. (2020). Technical language processing: Unlocking maintenance knowledge. Manufacturing Letters. 27. 42–46. 68 indexed citations

Sexton, Thurston & Michael P. Brundage. (2019). Standards Needs for Maintenance Work Order Analysis in Manufacturing. 3 indexed citations

Brundage, Michael P., et al.. (2019). Studies to Predict Maintenance Time Duration and Important Factors From Maintenance Workorder Data. Annual Conference of the PHM Society. 11(1). 16 indexed citations

10.

Brundage, Michael P., Thurston Sexton, Melinda Hodkiewicz, et al.. (2019). Where Do We Start? Guidance for Technology Implementation in Maintenance Management for Manufacturing. Journal of Manufacturing Science and Engineering. 141(9). 22 indexed citations

11.

Sexton, Thurston, et al.. (2019). Nestor: A Tool for Natural Language Annotation of Short Texts. Journal of Research of the National Institute of Standards and Technology. 124. 1–5. 17 indexed citations

12.

Sexton, Thurston & Mark Fuge. (2019). Organizing Tagged Knowledge: Similarity Measures and Semantic Fluency in Structure Mining. Journal of Mechanical Design. 142(3). 8 indexed citations

13.

Sexton, Thurston & Mark Fuge. (2019). Using Semantic Fluency Models Improves Network Reconstruction Accuracy of Tacit Engineering Knowledge. 4 indexed citations

14.

Sexton, Thurston, et al.. (2019). Agreement Behavior of Isolated Annotators for Maintenance Work-Order Data Mining. Annual Conference of the PHM Society. 11(1). 4 indexed citations

15.

Brundage, Michael P., Thurston Sexton, Melinda Hodkiewicz, et al.. (2019). Where Do We Start? Guidance for Technology Implementation in Maintenance Management for Manufacturing. UWA Profiles and Research Repository (University of Western Australia). 10 indexed citations

16.

Brundage, Michael P., et al.. (2018). Developing Maintenance Key Performance Indicators From Maintenance Work Order Data. 20 indexed citations

17.

Sexton, Thurston, et al.. (2018). Benchmarking for Keyword Extraction Methodologies in Maintenance Work Orders. Annual Conference of the PHM Society. 10(1). 37 indexed citations

18.

Sexton, Thurston, et al.. (2017). Hybrid datafication of maintenance logs from AI-assisted human tags. 1769–1777. 52 indexed citations

19.

Sharp, Michael, Thurston Sexton, & Michael P. Brundage. (2016). Semi-Autonomous Labeling of Unstructured Maintenance Log Data for Diagnostic Root Cause Analysis | NIST. 1 indexed citations

20.

Sexton, Thurston, et al.. (2016). Learning Human Search Strategies From a Crowdsourcing Game. 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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