Klaus Wälde
Impact in
- Modeling and Simulation top 1%
- COVID-19 epidemiological studies
- Economics and Econometrics top 1%
- Economic theories and models
- Economic Growth and Productivity
- Fiscal Policy and Economic Growth
- COVID-19 Pandemic Impacts
- Labor market dynamics and wage inequality
Papers in
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- Economic theories and models 22
- Economic Growth and Productivity 19
- Economic Policies and Impacts 10
- Fiscal Policy and Economic Growth 9
- Labor market dynamics and wage inequality 9
- COVID-19 Pandemic Impacts 8
-
- Monetary Policy and Economic Impact 11
- Co-authors
- Timo Mitze (5 shared papers)Reinhold Kosfeld (4 shared papers)Johannes Rode (4 shared papers)Andrey Launov (7 shared papers)Ulrich Woitek (1 shared paper)Michael Graber (2 shared papers)Christian Kleiber (2 shared papers)Agnes Moors (2 shared papers)
In The Last Decade
Klaus Wälde
58 papers receiving 1.1k citations
Peers
Comparison fields: 5 of 95
- Modeling and Simulation 217
- Economics and Econometrics 789
- General Economics, Econometrics and Finance 209
- Finance 90
- Accounting 96
Countries citing papers authored by Klaus Wälde
This map shows the geographic impact of Klaus Wälde'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 Klaus Wälde with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Klaus Wälde more than expected).
Fields of papers citing papers by Klaus Wälde
This network shows the impact of papers produced by Klaus Wälde. 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 Klaus Wälde. The network helps show where Klaus Wälde may publish in the future.
Co-authors
The 25 scholars most cited alongside Klaus Wälde, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 63 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2020 | 274 | |
| 2 | 2003 | 96 | |
| 3 | 2008 | 70 | |
| 4 | 2006 | 51 | |
| 5 | 2021 | 44 | |
| 6 | 2013 | 42 | |
| 7 | 2015 | 41 | |
| 8 | 1999 | 40 | |
| 9 | 2010 | 37 | |
| 10 | 2006 | 35 | |
| 11 | 2006 | 30 | |
| 12 | 2007 | 29 | |
| 13 | 2003 | 29 | |
| 14 | 2002 | 27 | |
| 15 | 2020 | 24 | |
| 16 | 2011 | 24 | |
| 17 | 2020 | 23 | |
| 18 | 2007 | 20 | |
| 19 | 2017 | 18 | |
| 20 | 2009 | 18 |
About Klaus Wälde
Klaus Wälde is a scholar working on Economics and Econometrics, General Economics, Econometrics and Finance, Finance, Modeling and Simulation and Accounting, having authored 63 papers that have together received 1.2k indexed citations. Recurring topics across this work include Economic theories and models (22 papers), Economic Growth and Productivity (19 papers), Monetary Policy and Economic Impact (11 papers), Economic Policies and Impacts (10 papers), COVID-19 epidemiological studies (10 papers), Fiscal Policy and Economic Growth (9 papers), Labor market dynamics and wage inequality (9 papers) and COVID-19 Pandemic Impacts (8 papers). The work is most often cited by research in Modeling and Simulation (217 citations), Economics and Econometrics (789 citations), General Economics, Econometrics and Finance (209 citations), Finance (90 citations) and Accounting (96 citations). Klaus Wälde has collaborated with scholars based in Germany, Belgium and Denmark. Frequent co-authors include Timo Mitze, Reinhold Kosfeld, Johannes Rode, Andrey Launov, Ulrich Woitek, Michael Graber, Christian Kleiber, Agnes Moors, Bodo Plachter and Christian Bayer. Their work appears in journals such as Journal of Economics, Economics Letters, International Economic Review, Journal of Economic Dynamics and Control and European Economic Review.
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.