Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies
if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the
same subfield and year (this is the minimum needed to enter the top 1%, not the average
within it), or reaches the top citation threshold in at least one of its specific research
topics.
Empirical Asset Pricing via Machine Learning
20201.1k citationsShihao Gu, Bryan Kelly et al.Review of Financial Studiesprofile →
Hedging Climate Change News
2019785 citationsRobert F. Engle, Stefano Giglio et al.Review of Financial Studiesprofile →
This map shows the geographic impact of Bryan Kelly'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 Bryan Kelly with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Bryan Kelly more than expected).
This network shows the impact of papers produced by Bryan Kelly. 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 Bryan Kelly. The network helps show where Bryan Kelly may publish in the future.
Co-authorship network of co-authors of Bryan Kelly
This figure shows the co-authorship network connecting the top 25 collaborators of Bryan Kelly.
A scholar is included among the top collaborators of Bryan Kelly 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 Bryan Kelly. Bryan Kelly is excluded from
the visualization to improve readability, since they are connected to all nodes in the network.
Kelly, Bryan, et al.. (2023). (Re‐)Imag(in)ing Price Trends. The Journal of Finance. 78(6). 3193–3249.45 indexed citations
7.
Jensen, Theis Ingerslev, Bryan Kelly, & Lasse Heje Pedersen. (2023). Is There a Replication Crisis in Finance?. The Journal of Finance. 78(5). 2465–2518.121 indexed citations breakdown →
8.
Kelly, Bryan, et al.. (2023). Modeling Corporate Bond Returns. The Journal of Finance. 78(4). 1967–2008.41 indexed citations
Kelly, Bryan, Ľuboš Pástor, & Pietro Veronesi. (2016). The Price of Political Uncertainty: Theory and Evidence from the Option Market. The Journal of Finance. 71(5). 2417–2480.514 indexed citations breakdown →
Balakrishnan, Karthik, Mary Brooke Billings, Bryan Kelly, & Alexander Ljungqvist. (2014). Shaping Liquidity: On the Causal Effects of Voluntary Disclosure. The Journal of Finance. 69(5). 2237–2278.458 indexed citations breakdown →
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.