Marek Kapička
Impact in
- Gender Studies top 5%
- Gender, Labor, and Family Dynamics
- Accounting top 10%
- Financial Literacy, Pension, Retirement Analysis
- Corporate Taxation and Avoidance
Papers in
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- Fiscal Policy and Economic Growth 10
- Politics, Economics, and Education Policy 6
- Economic Policies and Impacts 3
- Economic Growth and Productivity 3
- Labor market dynamics and wage inequality 1
- Insurance and Financial Risk Management 1
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- Financial Literacy, Pension, Retirement Analysis 4
Marek Kapička
12 papers receiving 212 citations
Peers
Comparison fields: 5 of 24
- Gender Studies 94
- Accounting 89
- Economics and Econometrics 200
- Management Science and Operations Research 19
- Modeling and Simulation 6
Countries citing papers authored by Marek Kapička
This map shows the geographic impact of Marek Kapička'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 Marek Kapička with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Marek Kapička more than expected).
Fields of papers citing papers by Marek Kapička
This network shows the impact of papers produced by Marek Kapička. 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 Marek Kapička. The network helps show where Marek Kapička may publish in the future.
Co-authors
The 3 scholars most cited alongside Marek Kapička, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2013 | 54 | |
| 2 | 2007 | 43 | |
| 3 | 2006 | 40 | |
| 4 | The Dynamics of Optimal Taxation when Human Capital is Endogenous | 2006 | 17 |
| 5 | 2015 | 17 | |
| 6 | 2022 | 15 | |
| 7 | 2019 | 12 | |
| 8 | 2016 | 10 | |
| 9 | 2015 | 7 | |
| 10 | Quantifying the welfare gains from history dependent income taxation | 2017 | 4 |
| 11 | How Important is Technology Capital? Measurement and Theory | 2008 | 3 |
| 12 | Optimal Income Taxation and Human Capital Accumulation | 2003 | 3 |
| 13 | 2021 | 0 |
About Marek Kapička
Marek Kapička is a scholar working on Economics and Econometrics, Accounting, Gender Studies, General Economics, Econometrics and Finance and Demography, having authored 13 papers that have together received 225 indexed citations. Recurring topics across this work include Fiscal Policy and Economic Growth (10 papers), Politics, Economics, and Education Policy (6 papers), Gender, Labor, and Family Dynamics (5 papers), Financial Literacy, Pension, Retirement Analysis (4 papers), Economic Policies and Impacts (3 papers), Economic Growth and Productivity (3 papers), Labor market dynamics and wage inequality (1 paper) and Insurance and Financial Risk Management (1 paper). The work is most often cited by research in Gender Studies (94 citations), Accounting (89 citations), Economics and Econometrics (200 citations), Management Science and Operations Research (19 citations) and Modeling and Simulation (6 citations). Marek Kapička has collaborated with scholars based in United States, Czechia and United Kingdom. Frequent co-authors include Peter Rupert, Paul Klein and Tobias Broer. Their work appears in journals such as Review of Economic Dynamics, The Review of Economic Studies, Journal of Monetary Economics, American Economic Journal Macroeconomics and Journal of Economic Theory.
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.