Keke Lai

29 total papers · 1.2k total citations
25 papers, 803 citations indexed

About

Keke Lai is a scholar working on Management Science and Operations Research, Statistics and Probability and Computer Networks and Communications. According to data from OpenAlex, Keke Lai has authored 25 papers receiving a total of 803 indexed citations (citations by other indexed papers that have themselves been cited), including 18 papers in Management Science and Operations Research, 16 papers in Statistics and Probability and 6 papers in Computer Networks and Communications. Recurrent topics in Keke Lai's work include Psychometric Methodologies and Testing (14 papers), Statistical Methods and Bayesian Inference (8 papers) and Advanced Statistical Modeling Techniques (6 papers). Keke Lai is often cited by papers focused on Psychometric Methodologies and Testing (14 papers), Statistical Methods and Bayesian Inference (8 papers) and Advanced Statistical Modeling Techniques (6 papers). Keke Lai collaborates with scholars based in United States and Dominican Republic. Keke Lai's co-authors include Samuel B. Green, Ken Kelley, Zhiyong Zhang, Zhenqiu Lu, Xin Tong, Sarah Depaoli, Kiero Guerra-Peña, Sonja D. Winter, Roy Levy and Xiaoguang Zhang and has published in prestigious journals such as Psychological Methods, Psychometrika and Structural Equation Modeling A Multidisciplinary Journal.

In The Last Decade

Keke Lai

25 papers receiving 790 citations

Hit Papers

The Problem with Having T... 2016 2026 2019 2022 2016 100 200 300

Author Peers

Peers are selected by citation overlap in the author's most active subfields. citations · hero ref

Author Last Decade Papers Cites
Keke Lai 167 162 121 121 117 25 803
David G. Weeks 190 1.1× 172 1.1× 118 1.0× 102 0.8× 139 1.2× 17 898
Phill Gagné 153 0.9× 135 0.8× 115 1.0× 98 0.8× 68 0.6× 20 774
Siu L. Chow 203 1.2× 160 1.0× 185 1.5× 76 0.6× 109 0.9× 40 1.0k
Milica Miočević 135 0.8× 155 1.0× 79 0.7× 101 0.8× 202 1.7× 34 867
Michele F. Zimowski 155 0.9× 205 1.3× 142 1.2× 134 1.1× 131 1.1× 14 997
Robert S. Barcikowski 123 0.7× 123 0.8× 101 0.8× 108 0.9× 204 1.7× 47 909
Sonja D. Winter 118 0.7× 207 1.3× 70 0.6× 102 0.8× 176 1.5× 27 954
Mariëlle Zondervan‐Zwijnenburg 143 0.9× 173 1.1× 93 0.8× 109 0.9× 161 1.4× 23 782
Simon Grund 133 0.8× 119 0.7× 92 0.8× 62 0.5× 191 1.6× 31 799
E. Lea Witta 156 0.9× 141 0.9× 141 1.2× 80 0.7× 37 0.3× 17 756

Countries citing papers authored by Keke Lai

Since Specialization
Citations

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

Fields of papers citing papers by Keke Lai

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Keke Lai

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

All Works

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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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