Tālis J. Putniņš
- Finance top 0.5%
- Economics and Econometrics top 1%
- Information Systems top 1%
- Accounting top 2%
- Management Science and Operations Research top 2%
- Co-authors
- Sean FoleyJonathan R. KarlsenCarole Comerton‐FordeArnis SaukaDavid MichaylukBrian M. LuceyCharles M. JonesVinay Patel
- Topics
- Financial Markets and Investment Strategies (57 papers)Corporate Finance and Governance (24 papers)Market Dynamics and Volatility (22 papers)
- Partner nations
- AustraliaUnited StatesUnited Kingdom
In The Last Decade
Tālis J. Putniņš
77 papers receiving 2.1k citations
Hit Papers
Peers
Comparison fields: 5 of 88
- Finance 1.1k
- Economics and Econometrics 1.1k
- Information Systems 673
- Accounting 594
- Management Science and Operations Research 264
Countries citing papers authored by Tālis J. Putniņš
This map shows the geographic impact of Tālis J. Putniņš'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 Tālis J. Putniņš with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Tālis J. Putniņš more than expected).
Fields of papers citing papers by Tālis J. Putniņš
This network shows the impact of papers produced by Tālis J. Putniņš. 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 Tālis J. Putniņš. The network helps show where Tālis J. Putniņš may publish in the future.
Co-authorship network of co-authors of Tālis J. Putniņš
This figure shows the co-authorship network connecting the top 25 collaborators of Tālis J. Putniņš. A scholar is included among the top collaborators of Tālis J. Putniņš based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Tālis J. Putniņš. Tālis J. Putniņš is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 0 | |
| 2 | 1 | |
| 3 | 1 | |
| 4 | 2 | |
| 5 | 4 | |
| 6 | 2 | |
| 7 | 1 | |
| 8 | 4 | |
| 9 | The “Waterfall Illusion” in the Perception of Risk | 1 |
| 10 | 44 | |
| 11 | 5 | |
| 12 | An overview of market manipulation | 6 |
| 13 | Sex, Drugs, and Bitcoin: How Much Illegal Activity Is Financed through Cryptocurrencies?breakdown → | 536 |
| 14 | The Waterfall Illusion, and How Prior Exposure to Extreme Risk Distorts Risk Perception | 1 |
| 15 | The 'Waterfall Illusion' in the Financial Markets: Risk Perception Is Distorted After Prior Exposure to Extreme Risk | 3 |
| 16 | 36 | |
| 17 | 10 | |
| 18 | 29 | |
| 19 | 36 | |
| 20 | 68 |
About Tālis J. Putniņš
Tālis J. Putniņš is a scholar working on Finance, Accounting and Economics and Econometrics, having authored 84 papers that have together received 2.2k indexed citations. Recurring topics across this work include Financial Markets and Investment Strategies (57 papers), Corporate Finance and Governance (24 papers) and Market Dynamics and Volatility (22 papers). The work is most often cited by research in Finance (1.1k citations), Accounting (594 citations) and Economics and Econometrics (1.1k citations). Tālis J. Putniņš has collaborated with scholars based in Australia, United States and United Kingdom. Frequent co-authors include Sean Foley, Jonathan R. Karlsen, Carole Comerton‐Forde, Arnis Sauka, David Michayluk, Brian M. Lucey, Charles M. Jones, Vinay Patel, David Easley and Maureen O’Hara. Their work appears in journals such as Journal of Financial Economics, PLoS ONE and Review of Financial Studies.
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.