Pak-Wai Liu

848 citations
28 papers · 585 indexed · h-index 14
Topics
Economic theories and models (8 papers)Labor market dynamics and wage inequality (7 papers)Gender, Labor, and Family Dynamics (4 papers)

In The Last Decade

Pak-Wai Liu

27 papers receiving 537 citations

Peers

Pak-Wai Liu
Comparison fields: 5 of 55
  • Sociology and Political Science 287
  • Economics and Econometrics 278
  • Gender Studies 188
  • Political Science and International Relations 117
  • Demography 102
Replace Jiří Večerník with:
Jiří Večerník Czechia
Lennart Flood Sweden
Silvia Pasqua Italy
Alessandra Casarico Italy
Susan Lehrer United States
Jeremiah Cotton United States
Eva Mörk Sweden
Peter Skogman Thoursie Sweden
S. J. Kleinberg United States
Miriam Beblo Germany
Pak-Wai Liu relative to Jiří Večerník Czechia Jiří Večerník's profile →
Citations per field
00.5×1.5×2.5×
Jiří Večerník · 1×
Citations per year

Countries citing papers authored by Pak-Wai Liu

Since Specialization
Citations

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

Fields of papers citing papers by Pak-Wai Liu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Pak-Wai Liu. 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 Pak-Wai Liu. The network helps show where Pak-Wai Liu may publish in the future.

Co-authorship network of co-authors of Pak-Wai Liu

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

All Works

20 of 20 papers shown
#WorkIndexed citations
1 19
2 6
3 56
4 16
5 15
6 137
7 8
8 14
9 6
10 1
11 1
12 0
13
Measuring Global Tax Progressivity as Weighted Deviations from Proportional Tax: A Comment
1
14 3
15 15
16 6
17 13
18
A Note on Two Summary Measures of Tax Progressivity
4
19 19
20 11

About Pak-Wai Liu

Pak-Wai Liu is a scholar working on Gender Studies, Economics and Econometrics and General Economics, Econometrics and Finance, having authored 28 papers that have together received 585 indexed citations. Recurring topics across this work include Economic theories and models (8 papers), Labor market dynamics and wage inequality (7 papers) and Gender, Labor, and Family Dynamics (4 papers). The work is most often cited by research in Gender Studies (188 citations), Economics and Econometrics (278 citations) and Demography (102 citations). Pak-Wai Liu has collaborated with scholars based in Hong Kong, United States and Australia. Frequent co-authors include Junsen Zhang, Xin Meng, Jun Han, Yaohui Zhao, Kit‐Chun Lam and Xiaokai Yang. Their work appears in journals such as Journal of Business Ethics, Journal of Development Economics and The Journal of Human Resources.

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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