J. Dennis Cradit

647 total citations
18 papers, 472 citations indexed

About

J. Dennis Cradit is a scholar working on Food Science, Artificial Intelligence and Marketing. According to data from OpenAlex, J. Dennis Cradit has authored 18 papers receiving a total of 472 indexed citations (citations by other indexed papers that have themselves been cited), including 9 papers in Food Science, 8 papers in Artificial Intelligence and 5 papers in Marketing. Recurrent topics in J. Dennis Cradit's work include Sensory Analysis and Statistical Methods (9 papers), Advanced Clustering Algorithms Research (6 papers) and Consumer Market Behavior and Pricing (3 papers). J. Dennis Cradit is often cited by papers focused on Sensory Analysis and Statistical Methods (9 papers), Advanced Clustering Algorithms Research (6 papers) and Consumer Market Behavior and Pricing (3 papers). J. Dennis Cradit collaborates with scholars based in United States. J. Dennis Cradit's co-authors include Michael J. Brusco, Douglas Steinley, Armen Tashchian, Gavin L. Fox, Charles F. Hofacker, Susan Brudvig and Emilie Shireman and has published in prestigious journals such as PLoS ONE, Technometrics and Journal of Marketing Research.

In The Last Decade

J. Dennis Cradit

17 papers receiving 455 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
J. Dennis Cradit United States 13 164 81 78 56 53 18 472
Anil Chaturvedi United States 6 139 0.8× 30 0.4× 58 0.7× 22 0.4× 23 0.4× 9 335
Carol A. Markowski United States 9 61 0.4× 16 0.2× 17 0.2× 19 0.3× 97 1.8× 17 476
Richard Gruss United States 12 172 1.0× 37 0.5× 61 0.8× 34 0.6× 13 0.2× 29 510
Gerald V. Post United States 12 60 0.4× 12 0.1× 18 0.2× 16 0.3× 27 0.5× 50 449
Mustakim Mustakim Indonesia 13 317 1.9× 23 0.3× 29 0.4× 9 0.2× 9 0.2× 197 1.1k
Álvaro Tejeda-Lorente Spain 11 256 1.6× 5 0.1× 36 0.5× 16 0.3× 108 2.0× 22 569
Katsutoshi Yada Japan 12 80 0.5× 28 0.3× 216 2.8× 20 0.4× 60 1.1× 64 453
Taeho Hong South Korea 9 200 1.2× 6 0.1× 110 1.4× 71 1.3× 63 1.2× 27 499
Kellie B. Keeling United States 11 53 0.3× 4 0.0× 25 0.3× 30 0.5× 30 0.6× 19 415
Qiudan Li China 19 562 3.4× 11 0.1× 117 1.5× 32 0.6× 43 0.8× 70 1.3k

Countries citing papers authored by J. Dennis Cradit

Since Specialization
Citations

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

Fields of papers citing papers by J. Dennis Cradit

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by J. Dennis Cradit. 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 J. Dennis Cradit. The network helps show where J. Dennis Cradit may publish in the future.

Co-authorship network of co-authors of J. Dennis Cradit

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

All Works

18 of 18 papers shown
1.
Brusco, Michael J., J. Dennis Cradit, & Douglas Steinley. (2021). A comparison of 71 binary similarity coefficients: The effect of base rates. PLoS ONE. 16(4). e0247751–e0247751. 28 indexed citations
2.
Brusco, Michael J., J. Dennis Cradit, & Douglas Steinley. (2019). Combining diversity and dispersion criteria for anticlustering: A bicriterion approach. British Journal of Mathematical and Statistical Psychology. 73(3). 375–396. 7 indexed citations
3.
Brusco, Michael J., J. Dennis Cradit, & Susan Brudvig. (2018). An integrated dominance analysis and dynamic programing approach for measuring predictor importance for customer satisfaction. Communication in Statistics- Theory and Methods. 48(21). 5290–5307.
4.
Brudvig, Susan, Michael J. Brusco, & J. Dennis Cradit. (2018). Joint selection of variables and clusters: recovering the underlying structure of marketing data. Journal of Marketing Analytics. 7(1). 1–12. 7 indexed citations
5.
Brusco, Michael J., et al.. (2018). Affinity propagation: An exemplar‐based tool for clustering in psychological research. British Journal of Mathematical and Statistical Psychology. 72(1). 155–182. 14 indexed citations
6.
Brusco, Michael J., et al.. (2017). Cluster analysis in empirical OM research: survey and recommendations. International Journal of Operations & Production Management. 37(3). 300–320. 53 indexed citations
7.
Brusco, Michael J., Emilie Shireman, Douglas Steinley, Susan Brudvig, & J. Dennis Cradit. (2017). Gaussian model‐based partitioning using iterated local search. British Journal of Mathematical and Statistical Psychology. 70(1). 1–24. 3 indexed citations
8.
Brusco, Michael J., et al.. (2012). Emergent clustering methods for empirical OM research. Journal of Operations Management. 30(6). 454–466. 33 indexed citations
9.
Brusco, Michael J., Douglas Steinley, & J. Dennis Cradit. (2009). An Exact Algorithm for Hierarchically Well-Formulated Subsets in Second-Order Polynomial Regression. Technometrics. 51(3). 306–315. 19 indexed citations
10.
Brusco, Michael J., J. Dennis Cradit, Douglas Steinley, & Gavin L. Fox. (2008). Cautionary Remarks on the Use of Clusterwise Regression. Multivariate Behavioral Research. 43(1). 29–49. 40 indexed citations
11.
Brusco, Michael J. & J. Dennis Cradit. (2005). Bicriterion methods for partitioning dissimilarity matrices. British Journal of Mathematical and Statistical Psychology. 58(2). 319–332. 14 indexed citations
12.
Brusco, Michael J. & J. Dennis Cradit. (2005). ConPar: a method for identifying groups of concordant subject proximity matrices for subsequent multidimensional scaling analyses. Journal of Mathematical Psychology. 49(2). 142–154. 24 indexed citations
13.
Brusco, Michael J. & J. Dennis Cradit. (2004). Graph coloring, minimum-diameter partitioning, and the analysis of confusion matrices. Journal of Mathematical Psychology. 48(5). 301–309. 14 indexed citations
14.
Brusco, Michael J., J. Dennis Cradit, & Armen Tashchian. (2003). Multicriterion Clusterwise Regression for Joint Segmentation Settings: An Application to Customer Value. Journal of Marketing Research. 40(2). 225–234. 53 indexed citations
15.
Brusco, Michael J., et al.. (2002). A Simulated Annealing Heuristic for a Bicriterion Partitioning Problem in Market Segmentation. Journal of Marketing Research. 39(1). 99–109. 42 indexed citations
16.
Brusco, Michael J. & J. Dennis Cradit. (2001). A Variable-Selection Heuristic for K-means Clustering. Psychometrika. 66(2). 249–270. 98 indexed citations
17.
Cradit, J. Dennis, Armen Tashchian, & Charles F. Hofacker. (1994). Signal Detection Theory and Single Observation Designs: Methods and Indices for Advertising Recognition Testing. Journal of Marketing Research. 31(1). 117–127. 7 indexed citations
18.
Cradit, J. Dennis, Armen Tashchian, & Charles F. Hofacker. (1994). Signal Detection Theory and Single Observation Designs: Methods and Indices for Advertising Recognition Testing. Journal of Marketing Research. 31(1). 117–117. 16 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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