Linda‐Eling Lee

2.1k citations
7 papers · 1.5k indexed · 1 hit paper · h-index 6
Topics
Corporate Finance and Governance (3 papers)Experimental Behavioral Economics Studies (3 papers)Sport and Mega-Event Impacts (1 paper)

In The Last Decade

Linda‐Eling Lee

7 papers receiving 1.4k citations

Hit Papers

Motivación de los empleados: un poderoso modelo nuevo20082026201420202008100200300400500

Peers

Linda‐Eling Lee
Comparison fields: 5 of 137
  • Strategy and Management 485
  • Organizational Behavior and Human Resource Management 351
  • Management of Technology and Innovation 269
  • Economics and Econometrics 240
  • Sociology and Political Science 204
Replace Ileana Stigliani with:
Ileana Stigliani United Kingdom
Ravi S. Ramani United States
Kyle J. Bradley United States
Christopher Chan Australia
Man‐Ling Chang Taiwan
Alan J. Malter United States
Steve H. Barr United States
Hans Georg Gemuenden Germany
Mark de Rond United Kingdom
Isabelle Reymen Netherlands
Linda‐Eling Lee relative to Ileana Stigliani United Kingdom Ileana Stigliani's profile →
Citations per field
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Ileana Stigliani · 1×
Citations per year

Countries citing papers authored by Linda‐Eling Lee

Since Specialization
Citations

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

Fields of papers citing papers by Linda‐Eling Lee

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Linda‐Eling 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 Linda‐Eling Lee. The network helps show where Linda‐Eling Lee may publish in the future.

Co-authorship network of co-authors of Linda‐Eling Lee

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

All Works

7 of 7 papers shown
#WorkIndexed citations
1 32
2
The Myth of the Lone Star: Why One Top Performer May Not Shine as Brightly as You Hope
2
3 244
4
Motivación de los empleados: un poderoso modelo nuevobreakdown →
567
5 57
6 424
7
Employee motivation: a powerful new model.
158

About Linda‐Eling Lee

Linda‐Eling Lee is a scholar working on Safety Research, Music and Public Administration, having authored 7 papers that have together received 1.5k indexed citations. Recurring topics across this work include Corporate Finance and Governance (3 papers), Experimental Behavioral Economics Studies (3 papers) and Sport and Mega-Event Impacts (1 paper). The work is most often cited by research in Management of Technology and Innovation (269 citations), Organizational Behavior and Human Resource Management (351 citations) and Strategy and Management (485 citations). Linda‐Eling Lee has collaborated with scholars based in United States and United Kingdom. Frequent co-authors include Boris Groysberg, Nitin Nohria and Ashish Nanda. Their work appears in journals such as Management Science, Organization Science and Journal of Organizational Behavior.

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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