Pim van Vliet

2.0k citations
60 papers · 1.3k indexed · h-index 17

Pim van Vliet

57 papers receiving 1.1k citations

Peers

Pim van Vliet
Comparison fields: 5 of 54
  • Finance 1.1k
  • General Decision Sciences 64
  • Accounting 323
  • Economics and Econometrics 774
  • Management Science and Operations Research 211
Replace Antonio E. Bernardo with:
Antonio E. Bernardo United States
Steven C. Mann United States
Robin K. Chou Taiwan
Joost Driessen Netherlands
Simon Benninga Israel
Jennifer N. Carpenter United States
Mustafa Gültekin United States
Robert H. Battalio United States
Heiko Jacobs Germany
Pilar Corredor Spain
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Citations per field
00.5×2.8×
Antonio E. Bernardo · 1×
Citations per year

Countries citing papers authored by Pim van Vliet

Since Specialization
Citations

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

Fields of papers citing papers by Pim van Vliet

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Pim van Vliet. 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 Pim van Vliet. The network helps show where Pim van Vliet may publish in the future.

Co-authorship network

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

All Works

20 of 20 papers shown
#Work
1 20236
2 20230
3 20237
4 201918
5 201388
6 20129
7
Benchmarking Low-Volatility Strategies
20113
8 201113
9 20118
10
Fundamental Indexation: Rebalancing Assumptions and Performance
20105
11
Global Tactical Cross-Asset Allocation: Applying Value and Momentum Across Asset Classes
200815
12
The Volatility Effect: Lower Risk Without Lower Return
200797
13 20055
14
Downside Risk and Asset Pricing
200416
15
Violations of Cpt in Mixed Gambles
20046
16
Conditional Downside Risk and the CAPM
20047
17 20048
18 20042
19
Risk Aversion and Skewness Preference: a comment
20039
20
Portfolio Return Characteristics of Different Industries
20032

About Pim van Vliet

Pim van Vliet is a scholar working on Finance, General Decision Sciences and General Economics, Econometrics and Finance, having authored 60 papers that have together received 1.3k indexed citations. Recurring topics across this work include Financial Markets and Investment Strategies (51 papers), Market Dynamics and Volatility (16 papers), Stochastic processes and financial applications (14 papers), Monetary Policy and Economic Impact (13 papers), Corporate Finance and Governance (11 papers), Financial Risk and Volatility Modeling (9 papers), Financial Reporting and Valuation Research (5 papers) and Insurance and Financial Risk Management (5 papers). The work is most often cited by research in Finance (1.1k citations), General Decision Sciences (64 citations) and Accounting (323 citations). Pim van Vliet has collaborated with scholars based in Netherlands, United States and Kazakhstan. Frequent co-authors include David Blitz, Thierry Post, Guido Baltussen, Laurens Swinkels, Haim Levy, Eric Falkenstein, Matthias X. Hanauer, Joop Huij, Jan de Koning and Michael J. Seiler. Their work appears in journals such as Journal of Financial Economics, Management Science and Journal of Banking & Finance.

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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