Carla Kuesten

464 total citations
49 papers, 284 citations indexed

About

Carla Kuesten is a scholar working on Food Science, Social Psychology and Experimental and Cognitive Psychology. According to data from OpenAlex, Carla Kuesten has authored 49 papers receiving a total of 284 indexed citations (citations by other indexed papers that have themselves been cited), including 32 papers in Food Science, 15 papers in Social Psychology and 7 papers in Experimental and Cognitive Psychology. Recurrent topics in Carla Kuesten's work include Sensory Analysis and Statistical Methods (32 papers), Color perception and design (14 papers) and Multisensory perception and integration (7 papers). Carla Kuesten is often cited by papers focused on Sensory Analysis and Statistical Methods (32 papers), Color perception and design (14 papers) and Multisensory perception and integration (7 papers). Carla Kuesten collaborates with scholars based in United States, Canada and Japan. Carla Kuesten's co-authors include Jian Bi, Herbert L. Meiselman, Yaohua Feng, M. R. McLELLAN, Naomi Altman, Hye-Seong Lee, Michael O’Mahony, Thrasyvoulos N. Pappas, Jing Wang and Gopa Majmudar and has published in prestigious journals such as IEEE Transactions on Image Processing, Food Research International and Journal of Product Innovation Management.

In The Last Decade

Carla Kuesten

43 papers receiving 262 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Carla Kuesten United States 9 170 67 56 40 39 49 284
Min-A Kim South Korea 11 189 1.1× 110 1.6× 48 0.9× 46 1.1× 44 1.1× 20 294
Huguette Nicod France 6 221 1.3× 115 1.7× 61 1.1× 74 1.9× 42 1.1× 9 297
Mónica Bécue-Bertaut Spain 8 166 1.0× 62 0.9× 38 0.7× 47 1.2× 22 0.6× 17 321
Ana Patrícia Silva Portugal 8 216 1.3× 62 0.9× 26 0.5× 26 0.7× 66 1.7× 18 361
Elena Menichelli Norway 9 177 1.0× 47 0.7× 31 0.6× 12 0.3× 14 0.4× 17 309
Tomohiro Masuda Japan 12 90 0.5× 41 0.6× 102 1.8× 108 2.7× 90 2.3× 29 389
Renata Januszewska Belgium 10 282 1.7× 112 1.7× 39 0.7× 25 0.6× 20 0.5× 28 475
Carlos Gómez‐Corona Mexico 13 330 1.9× 58 0.9× 44 0.8× 24 0.6× 66 1.7× 26 575
D.M. Ennis United States 5 142 0.8× 80 1.2× 32 0.6× 35 0.9× 14 0.4× 9 427
Andrea Mucci Argentina 6 158 0.9× 69 1.0× 14 0.3× 17 0.4× 31 0.8× 9 310

Countries citing papers authored by Carla Kuesten

Since Specialization
Citations

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

Fields of papers citing papers by Carla Kuesten

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Carla Kuesten

This figure shows the co-authorship network connecting the top 25 collaborators of Carla Kuesten. A scholar is included among the top collaborators of Carla Kuesten 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 Carla Kuesten. Carla Kuesten 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.
Bi, Jian & Carla Kuesten. (2025). Product effect size estimation and performance accuracy (validity and reliability) assessment for CATA and TCATA data. Food Quality and Preference. 127. 105441–105441. 1 indexed citations
2.
Bi, Jian & Carla Kuesten. (2025). Thurstonian Scaling for Sensory Discrimination Methods. Applied Sciences. 15(2). 991–991.
3.
Bi, Jian & Carla Kuesten. (2024). Thurstonian Models for the Duo‐Trio and Its Variants. Journal of Sensory Studies. 39(5). 1 indexed citations
4.
Bi, Jian & Carla Kuesten. (2023). Type I error, testing power, and predicting precision based on the GLM and LM models for CATA data--Further discussion with M. Meyners and A. Hasted. Food Quality and Preference. 106. 104806–104806. 4 indexed citations
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Bi, Jian & Carla Kuesten. (2020). Review and development of Thurstonian models for the triangle and duo‐trio methods and paired versions of the methods. Journal of Sensory Studies. 35(3). 4 indexed citations
8.
Bi, Jian, Carla Kuesten, Hye-Seong Lee, & Michael O’Mahony. (2017). Paired versions of various sensory discrimination forced-choice methods and the same-different area theorem. Food Quality and Preference. 63. 97–106. 9 indexed citations
9.
Kuesten, Carla, et al.. (2017). Case studies of industrial applications of the “M+N” classification method with larger M and N for visual and manual inspections. Journal of Sensory Studies. 32(1). 2 indexed citations
10.
Bi, Jian & Carla Kuesten. (2016). A Simplified Form of the Psychometric Function for the m‐Alternative Forced Choice (mAFC) Method. Journal of Sensory Studies. 31(4). 360–368.
11.
Kuesten, Carla, et al.. (2016). Propensity score analysis (PSA) for sensory causal inference – Global consumer psychographics and applications for phytonutrient supplements. Food Quality and Preference. 51. 77–88. 5 indexed citations
12.
Kuesten, Carla & Jian Bi. (2015). Risk Assessment of Negative Sensory Effects in Product Development Using the Benchmark Dose (BMD) Methodology for Continuous Data. Journal of Sensory Studies. 30(2). 128–135. 1 indexed citations
13.
Bi, Jian & Carla Kuesten. (2013). Using Functional Data Analysis (FDA) Methodology and theRPackage “fda” for Sensory Time‐Intensity Evaluation. Journal of Sensory Studies. 28(6). 474–482. 11 indexed citations
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Bi, Jian & Carla Kuesten. (2012). Intraclass Correlation Coefficient (ICC): A Framework for Monitoring and Assessing Performance of Trained Sensory Panels and Panelists. Journal of Sensory Studies. 27(5). 352–364. 33 indexed citations
16.
Kuesten, Carla. (2010). Design for Lean Six Sigma: A Holistic Approach to Design and Innovation by Rajesh Jugulum and Philip Samuel. Journal of Product Innovation Management. 27(5). 781–783. 1 indexed citations
17.
Kuesten, Carla. (2009). Going Lean: How the Best Companies Apply Lean Manufacturing Principles to Shatter Uncertainty, Drive Innovation, and Maximize Profits by Stephen A. Ruffa. Journal of Product Innovation Management. 26(6). 685–687. 2 indexed citations
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Kuesten, Carla & M. R. McLELLAN. (1994). Expert system shells — selecting the most appropriate development environment. Food Research International. 27(2). 101–110. 5 indexed citations
20.
Kuesten, Carla & M. R. McLELLAN. (1994). Strategies toward the development of an expert system for sensory evaluation testing and database management. Behavior Research Methods, Instruments, & Computers. 26(2). 112–116. 2 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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2026