Dale S. Kim

663 total citations
10 papers, 460 citations indexed

About

Dale S. Kim is a scholar working on Experimental and Cognitive Psychology, Statistics and Probability and Applied Psychology. According to data from OpenAlex, Dale S. Kim has authored 10 papers receiving a total of 460 indexed citations (citations by other indexed papers that have themselves been cited), including 6 papers in Experimental and Cognitive Psychology, 4 papers in Statistics and Probability and 3 papers in Applied Psychology. Recurrent topics in Dale S. Kim's work include Mental Health Research Topics (5 papers), Behavioral Health and Interventions (3 papers) and Statistical Methods and Bayesian Inference (2 papers). Dale S. Kim is often cited by papers focused on Mental Health Research Topics (5 papers), Behavioral Health and Interventions (3 papers) and Statistical Methods and Bayesian Inference (2 papers). Dale S. Kim collaborates with scholars based in United States. Dale S. Kim's co-authors include Connor McCabe, Kevin M. King, Steven P. Reise, Keith F. Widaman, Maxwell Mansolf, Max A. Halvorson, Brianna L. Yamasaki, Peter M. Bentler, Jane Juusola and Erin O'Neil and has published in prestigious journals such as Psychological Methods, Drug and Alcohol Dependence and Behavior Research Methods.

In The Last Decade

Dale S. Kim

10 papers receiving 447 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Dale S. Kim United States	7	205	123	109	95	68	10	460
Nelson Hauck Filho Brazil	10	262 1.3×	77 0.6×	135 1.2×	87 0.9×	50 0.7×	76	461
Emanuele Fino United Kingdom	13	263 1.3×	81 0.7×	123 1.1×	59 0.6×	49 0.7×	38	451
Barbara Barcaccia Italy	15	366 1.8×	143 1.2×	224 2.1×	76 0.8×	34 0.5×	41	587
Juzhe Xi China	12	301 1.5×	65 0.5×	176 1.6×	91 1.0×	47 0.7×	66	541
Miao Chao China	7	261 1.3×	73 0.6×	92 0.8×	185 1.9×	62 0.9×	18	453
Connor McCabe United States	12	306 1.5×	135 1.1×	130 1.2×	116 1.2×	91 1.3×	33	698
David Dueber United States	11	197 1.0×	119 1.0×	142 1.3×	55 0.6×	47 0.7×	24	455
Daniel Anderson United States	9	196 1.0×	85 0.7×	115 1.1×	127 1.3×	35 0.5×	37	621
Eun-Soo Choi South Korea	13	255 1.2×	131 1.1×	208 1.9×	102 1.1×	55 0.8×	67	658
Kristine D. O’Laughlin United States	4	119 0.6×	72 0.6×	100 0.9×	77 0.8×	23 0.3×	6	347

Countries citing papers authored by Dale S. Kim

Since Specialization

Citations

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

Fields of papers citing papers by Dale S. Kim

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Dale S. Kim. 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 Dale S. Kim. The network helps show where Dale S. Kim may publish in the future.

Co-authorship network of co-authors of Dale S. Kim

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

All Works

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10 of 10 papers shown

Hamedani, Ali G., et al.. (2024). Validity of Administrative Coding for Nonarteritic Ischemic Optic Neuropathy. Journal of Neuro-Ophthalmology. 44(3). 342–345. 7 indexed citations

Kim, Dale S. & Connor McCabe. (2022). The partial derivative framework for substantive regression effects.. Psychological Methods. 27(1). 121–141. 6 indexed citations

McCabe, Connor, et al.. (2021). Interpreting Interaction Effects in Generalized Linear Models of Nonlinear Probabilities and Counts. Multivariate Behavioral Research. 57(2-3). 243–263. 54 indexed citations

O'Neil, Erin, et al.. (2021). Compound Heterozygous Mutations in ZNF408 in a Patient with a Late Onset Pigmentary Retinopathy and Relatively Preserved Central Retina. Documenta Ophthalmologica. 143(3). 305–312. 3 indexed citations

Halvorson, Max A., et al.. (2021). Making sense of some odd ratios: A tutorial and improvements to present practices in reporting and visualizing quantities of interest for binary and count outcome models.. Psychology of Addictive Behaviors. 36(3). 284–295. 12 indexed citations

McCabe, Connor, Dale S. Kim, & Kevin M. King. (2018). Improving Present Practices in the Visual Display of Interactions. Advances in Methods and Practices in Psychological Science. 1(2). 147–165. 197 indexed citations

King, Kevin M., Dale S. Kim, & Connor McCabe. (2017). Random responses inflate statistical estimates in heavily skewed addictions data. Drug and Alcohol Dependence. 183. 102–110. 13 indexed citations

Kim, Dale S., et al.. (2017). Detecting random responders with infrequency scales using an error-balancing threshold. Behavior Research Methods. 50(5). 1960–1970. 30 indexed citations

Kim, Dale S., Steven P. Reise, & Peter M. Bentler. (2017). Identifying Aberrant Data in Structural Equation Models With IRLS-ADF. Structural Equation Modeling A Multidisciplinary Journal. 25(3). 343–358. 6 indexed citations

10.

Reise, Steven P., Dale S. Kim, Maxwell Mansolf, & Keith F. Widaman. (2016). Is the Bifactor Model a Better Model or Is It Just Better at Modeling Implausible Responses? Application of Iteratively Reweighted Least Squares to the Rosenberg Self-Esteem Scale. Multivariate Behavioral Research. 51(6). 0–0. 132 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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