Ravi Bansal

13.8k citations
139 papers · 8.8k indexed · 3 hit papers · h-index 47
Topics
Financial Markets and Investment Strategies (39 papers)Advanced Neuroimaging Techniques and Applications (33 papers)Functional Brain Connectivity Studies (28 papers)
Partner nations
United StatesChinaNorway

In The Last Decade

Ravi Bansal

134 papers receiving 8.5k citations

Hit Papers

Risks for the Long Run: A Potential Resolution of Asset P...2000202620082017200020062012250500750

Peers

Ravi Bansal
Comparison fields: 5 of 190
  • Finance 3.9k
  • Economics and Econometrics 2.9k
  • General Economics, Econometrics and Finance 2.0k
  • Cognitive Neuroscience 1.8k
  • Psychiatry and Mental health 1.0k
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Citations per field
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Citations per year

Countries citing papers authored by Ravi Bansal

Since Specialization
Citations

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

Fields of papers citing papers by Ravi Bansal

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Ravi Bansal

This figure shows the co-authorship network connecting the top 25 collaborators of Ravi Bansal. A scholar is included among the top collaborators of Ravi Bansal 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 Ravi Bansal. Ravi Bansal is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
#WorkIndexed citations
1 2
2 1
3 1
4 0
5 6
6
Shifts in Sectoral Wealth Shares and Risk Premia: What Explains Them?
1
7
A Model of the Macroeconomic Announcement Premium with Production
7
8
Climate Change and Growth Risks
1
9 20
10
Welfare Costs of Long-Run Temperature Shifts
9
11 43
12 29
13 192
14 76
15 25
16 30
17 79
18
Sovereign Risk and Return in Global Equity Markets
1
19
A Monetary Explanation of the Equity Premium, Term Premium, and Risk-Free Rate Puzzles
9
20
An Exploration of the Forward Premium Puzzle in Currency Markets
16

About Ravi Bansal

Ravi Bansal is a scholar working on Computational Mathematics, Finance and General Economics, Econometrics and Finance, having authored 139 papers that have together received 8.8k indexed citations. Recurring topics across this work include Financial Markets and Investment Strategies (39 papers), Advanced Neuroimaging Techniques and Applications (33 papers) and Functional Brain Connectivity Studies (28 papers). The work is most often cited by research in Finance (3.9k citations), General Economics, Econometrics and Finance (2.0k citations) and Economics and Econometrics (2.9k citations). Ravi Bansal has collaborated with scholars based in United States, China and Norway. Frequent co-authors include Amir Yaron, Bradley S. Peterson, Ivan Shaliastovich, Xuejun Hao, Dana Kiku, Robert F. Dittmar, Christian Lundblad, Dongrong Xu, Hao Zhou and Hongtu Zhu. Their work appears in journals such as Proceedings of the National Academy of Sciences, Journal of Neuroscience and SHILAP Revista de lepidopterología.

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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