Ruediger Bachmann

1.1k citations
16 papers · 221 · h-index 8

Impact in

Papers in

    • Economic theories and models 7
    • Fiscal Policies and Political Economy 3
    • Climate Change Policy and Economics 2
    • Fiscal Policy and Economic Growth 2
    • Economic Growth and Productivity 2
    • Economic Policies and Impacts 2
    • Economic Theory and Institutions 2
    • Monetary Policy and Economic Impact 10

Ruediger Bachmann

15 papers receiving 215 citations

Peers

Ruediger Bachmann
Comparison fields: 5 of 51
  • General Economics, Econometrics and Finance 76
  • Microbiology 45
  • Economics and Econometrics 142
  • Finance 50
  • General Decision Sciences 7
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Citations per field
00.5×3.8×
Eugene Beaulieu · 1×
Citations per year

Countries citing papers authored by Ruediger Bachmann

Since Specialization
Citations

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

Fields of papers citing papers by Ruediger Bachmann

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 14 scholars most cited alongside Ruediger Bachmann, 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 Ruediger Bachmann Line = papers co-authored together Ruediger Bachmann links everyone, so they are left out of the graph.

All Works

16 of 16 papers shown
#Work
1 200953
2 200748
3 200834
4 200922
5 200614
6 201111
7 20149
8 20058
9 20117
10 20186
11 20045
12
Government Purchases Over the Business Cycle: the Role of Heterogeneity and Wealth Bias in Political Decision Making
20101
13
Lumpy Investment in Dynamic General Equilibrium
20061
14
Government Purchases Over the Business Cycle: the Role of Economic and Political Inequality
20101
15 20061
16 20220

About Ruediger Bachmann

Ruediger Bachmann is a scholar working on Economics and Econometrics, General Economics, Econometrics and Finance, Finance, Surgery and Signal Processing, having authored 16 papers that have together received 221 indexed citations. Recurring topics across this work include Monetary Policy and Economic Impact (10 papers), Economic theories and models (7 papers), Fiscal Policies and Political Economy (3 papers), Climate Change Policy and Economics (2 papers), Fiscal Policy and Economic Growth (2 papers), Economic Growth and Productivity (2 papers), Economic Policies and Impacts (2 papers) and Economic Theory and Institutions (2 papers). The work is most often cited by research in General Economics, Econometrics and Finance (76 citations), Microbiology (45 citations), Economics and Econometrics (142 citations), Finance (50 citations) and General Decision Sciences (7 citations). Ruediger Bachmann has collaborated with scholars based in United States, Germany and Italy. Frequent co-authors include Christian Bayer, Ricardo J. Caballero, Eduardo Engel, Falk Melzer, Petra Reinhold, Achim D. Brucker, Elisabeth Liebler–Tenorio, Julia Jaeger, Evelyn Schubert and Mandy C. Elschner. Their work appears in journals such as Economic Theory, Journal of Mathematical Economics, The Veterinary Journal, Economics Letters and RePEc: Research Papers in Economics.

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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