Daniela Beckmann
Impact in
- General Decision Sciences top 10%
- Decision-Making and Behavioral Economics
- Accounting top 10%
- Corporate Finance and Governance
- Financial Literacy, Pension, Retirement Analysis
Papers in
- Finance 4
- Financial Markets and Investment Strategies 3
- Banking stability, regulation, efficiency 1
- Global Financial Crisis and Policies 1
-
- Housing Market and Economics 1
- Co-authors
- Lukas Menkhoff (3 shared papers)Denise Manahan‐Vaughan (2 shared papers)Megumi Suto (1 shared paper)Ulf T. Eysel (1 shared paper)Julia Thorn‐Seshold (2 shared papers)Constanze Heise (1 shared paper)Simone Wanderoy (1 shared paper)Angelika B. Harbauer (1 shared paper)
- Journals
- Cerebral Cortex (2 papers)Kyklos (1 paper)Nature Neuroscience (1 paper)Journal of Policy Modeling (1 paper)Journal of the American Chemical Society (1 paper)
- Partner nations
- GermanyFranceUnited Kingdom
In The Last Decade
Daniela Beckmann
8 papers receiving 227 citations
Peers
Comparison fields: 5 of 70
- General Decision Sciences 21
- Accounting 82
- Finance 66
- Sensory Systems 22
- Gender Studies 40
Countries citing papers authored by Daniela Beckmann
This map shows the geographic impact of Daniela Beckmann'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 Daniela Beckmann with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Daniela Beckmann more than expected).
Fields of papers citing papers by Daniela Beckmann
This network shows the impact of papers produced by Daniela Beckmann. 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 Daniela Beckmann. The network helps show where Daniela Beckmann may publish in the future.
Co-authors
The 24 scholars most cited alongside Daniela Beckmann, 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 | 2008 | 141 | |
| 2 | 2020 | 42 | |
| 3 | 2005 | 33 | |
| 4 | 2024 | 13 | |
| 5 | Behavioural biases of institutional investors under pressure from customers: Japan and Germany vs the US | 2005 | 8 |
| 6 | 2018 | 7 | |
| 7 | Italian Asset Managers' Behavior: Evidence on Overconfidence, Risk Taking and Gender | 2007 | 1 |
| 8 | 2025 | 1 | |
| 9 | 2025 | 0 |
About Daniela Beckmann
Daniela Beckmann is a scholar working on Finance, Economics and Econometrics, Molecular Biology, Accounting and Organic Chemistry, having authored 9 papers that have together received 246 indexed citations. Recurring topics across this work include Financial Markets and Investment Strategies (3 papers), Corporate Finance and Governance (2 papers), Banking stability, regulation, efficiency (1 paper), Housing Market and Economics (1 paper), Click Chemistry and Applications (1 paper), Global Financial Crisis and Policies (1 paper), Retinal Development and Disorders (1 paper) and Neuroscience and Neuropharmacology Research (1 paper). The work is most often cited by research in General Decision Sciences (21 citations), Accounting (82 citations), Finance (66 citations), Sensory Systems (22 citations) and Gender Studies (40 citations). Daniela Beckmann has collaborated with scholars based in Germany, France and United Kingdom. Frequent co-authors include Lukas Menkhoff, Denise Manahan‐Vaughan, Megumi Suto, Ulf T. Eysel, Julia Thorn‐Seshold, Constanze Heise, Simone Wanderoy, Angelika B. Harbauer, Will Wood and Andrew J. Davidson. Their work appears in journals such as Cerebral Cortex, Kyklos, Nature Neuroscience, Journal of Policy Modeling and Journal of the American Chemical Society.
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.