T. W. Lee

3.7k total citations · 2 hit papers
8 papers, 2.7k citations indexed

About

T. W. Lee is a scholar working on Control and Systems Engineering, Organizational Behavior and Human Resource Management and Mechanical Engineering. According to data from OpenAlex, T. W. Lee has authored 8 papers receiving a total of 2.7k indexed citations (citations by other indexed papers that have themselves been cited), including 4 papers in Control and Systems Engineering, 3 papers in Organizational Behavior and Human Resource Management and 2 papers in Mechanical Engineering. Recurrent topics in T. W. Lee's work include Robotic Mechanisms and Dynamics (4 papers), Iterative Learning Control Systems (3 papers) and Job Satisfaction and Organizational Behavior (2 papers). T. W. Lee is often cited by papers focused on Robotic Mechanisms and Dynamics (4 papers), Iterative Learning Control Systems (3 papers) and Job Satisfaction and Organizational Behavior (2 papers). T. W. Lee collaborates with scholars based in United States and Israel. T. W. Lee's co-authors include T. R. Mitchell, Brooks C. Holtom, Miriam Erez, Chris J. Sablynski, John W. Hill, Lisa Wise and James R. Terborg and has published in prestigious journals such as Academy of Management Journal and Journal of Mechanisms Transmissions and Automation in Design.

In The Last Decade

T. W. Lee

8 papers receiving 2.4k citations

Hit Papers

WHY PEOPLE STAY: USING JOB EMBEDDEDNESS TO PREDICT VOLUNT... 1996 2026 2006 2016 2001 1996 500 1000 1.5k
What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

  1. WHY PEOPLE STAY: USING JOB EMBEDDEDNESS TO PREDICT VOLUNTARY TURNOVER.
    2001 1.8k citations T. R. Mitchell, Brooks C. Holtom et al. Academy of Management Journal profile →
  2. AN UNFOLDING MODEL OF VOLUNTARY EMPLOYEE TURNOVER.
    1996 364 citations T. W. Lee, T. R. Mitchell et al. Academy of Management Journal profile →

Peers

T. W. Lee
Robert P. Steel United States
Ramon J. Aldag United States
Robert D. Pritchard United States
Allan P. Jones United States
Gregory E. Prussia United States
Jeffrey K. Sager United States
Ian R. Gellatly Canada
Robert S. Billings United States
Sally A. Carless Australia
Steven P. Brown United States
Robert P. Steel United States
T. W. Lee
Citations per year, relative to T. W. Lee T. W. Lee (= 1×) peers Robert P. Steel

Countries citing papers authored by T. W. Lee

Since Specialization
Citations

This map shows the geographic impact of T. W. Lee'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 T. W. Lee with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites T. W. Lee more than expected).

Fields of papers citing papers by T. W. Lee

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by T. W. Lee. 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 T. W. Lee. The network helps show where T. W. Lee may publish in the future.

Co-authorship network of co-authors of T. W. Lee

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

All Works

8 of 8 papers shown
1.
Mitchell, T. R., Brooks C. Holtom, T. W. Lee, Chris J. Sablynski, & Miriam Erez. (2001). WHY PEOPLE STAY: USING JOB EMBEDDEDNESS TO PREDICT VOLUNTARY TURNOVER.. Academy of Management Journal. 44(6). 1102–1121. 1800 indexed citations breakdown →
2.
Lee, T. W., et al.. (1999). THE UNFOLDING MODEL OF VOLUNTARY TURNOVER: A REPLICATION AND EXTENSION.. Academy of Management Journal. 42(4). 450–462. 467 indexed citations
3.
Lee, T. W., et al.. (1996). AN UNFOLDING MODEL OF VOLUNTARY EMPLOYEE TURNOVER.. Academy of Management Journal. 39(1). 5–36. 364 indexed citations breakdown →
4.
Lee, T. W., et al.. (1986). Kinematic Synthesis of Spherical Two-Gear Drives With Prescribed Entire-Motion Characteristics: Unlimited Crank Rotations and Optimum Transmission. Part 2: Applications. Journal of Mechanisms Transmissions and Automation in Design. 108(1). 53–59. 1 indexed citations
5.
Lee, T. W., et al.. (1986). Kinematic Synthesis of Spherical Two-Gear Drives With Prescribed Entire-Motion Characteristics: Unlimited Crank Rotations and Optimum Transmission. Part 1: Theory. Journal of Mechanisms Transmissions and Automation in Design. 108(1). 46–52. 2 indexed citations
6.
Lee, T. W., et al.. (1985). Generation and Evaluation of a Manipulator Workspace Based on Optimum Path Search. Journal of Mechanisms Transmissions and Automation in Design. 107(2). 245–255. 20 indexed citations
7.
Lee, T. W., et al.. (1985). Design and Analysis of Momentary-Dwell Mechanisms. Journal of Mechanisms Transmissions and Automation in Design. 107(1). 131–140. 3 indexed citations
8.
Terborg, James R. & T. W. Lee. (1984). A Predictive Study of Organizational Turnover Rates.. Academy of Management Journal. 27(4). 793–810. 68 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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