Lalith Munasinghe

400 citations
16 papers · 233 · h-index 9

Impact in

Papers in

    • Labor market dynamics and wage inequality 7
    • Firm Innovation and Growth 5
    • Housing Market and Economics 2
    • Sports Analytics and Performance 2
    • Corporate Finance and Governance 2
    • Financial Literacy, Pension, Retirement Analysis 2

Lalith Munasinghe

15 papers receiving 209 citations

Peers

Lalith Munasinghe
Comparison fields: 5 of 55
  • General Decision Sciences 11
  • Economics and Econometrics 143
  • Public Administration 14
  • Gender Studies 37
  • Accounting 38
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Citations per year

Countries citing papers authored by Lalith Munasinghe

Since Specialization
Citations

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

Fields of papers citing papers by Lalith Munasinghe

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 6 scholars most cited alongside Lalith Munasinghe, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Lalith Munasinghe Line = papers co-authored together Lalith Munasinghe links everyone, so they are left out of the graph.

All Works

16 of 16 papers shown
#Work
1 200365
2 200842
3 200027
4
Why Do Dancers Smoke? Smoking, Time Preference, and Wage Dynamics
200621
5 200517
6 200115
7 200012
8 201110
9 20058
10 20196
11
A Theory of Wage and Turnover Dynamics
20054
12 20152
13 19992
14
Globalization and the Rate of Technological Progress: What Track and Field Records Show
20011
15 20051
16 19980

About Lalith Munasinghe

Lalith Munasinghe is a scholar working on Economics and Econometrics, Accounting, Public Administration, Gender Studies and Global and Planetary Change, having authored 16 papers that have together received 233 indexed citations. Recurring topics across this work include Labor market dynamics and wage inequality (7 papers), Firm Innovation and Growth (5 papers), Labor Movements and Unions (3 papers), Corporate Finance and Governance (2 papers), Financial Literacy, Pension, Retirement Analysis (2 papers), Housing Market and Economics (2 papers), Gender, Labor, and Family Dynamics (2 papers) and Sports Analytics and Performance (2 papers). The work is most often cited by research in General Decision Sciences (11 citations), Economics and Econometrics (143 citations), Public Administration (14 citations), Gender Studies (37 citations) and Accounting (38 citations). Lalith Munasinghe has collaborated with scholars based in United States, Germany and Sri Lanka. Frequent co-authors include Karl Sigman, Nachum Sicherman, Alice M. Henriques, Brendan O’Flaherty, Stephan Danninger and David Rind. Their work appears in journals such as Labour Economics, Journal of Labor Economics, Industrial Management & Data Systems, Quality in Higher Education and Journal of Climate.

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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