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.
Has the US Finance Industry Become Less Efficient? On the Theory and Measurement of Financial Intermediation
Countries citing papers authored by Thomas Philippon
Since
Specialization
Citations
This map shows the geographic impact of Thomas Philippon'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 Thomas Philippon with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Thomas Philippon more than expected).
Fields of papers citing papers by Thomas Philippon
This network shows the impact of papers produced by Thomas Philippon. 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 Thomas Philippon. The network helps show where Thomas Philippon may publish in the future.
Co-authorship network of co-authors of Thomas Philippon
This figure shows the co-authorship network connecting the top 25 collaborators of Thomas Philippon.
A scholar is included among the top collaborators of Thomas Philippon 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 Thomas Philippon. Thomas Philippon 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
1.
Parlatore, Cecilia & Thomas Philippon. (2025). Designing Stress Scenarios. The Journal of Finance. 80(2). 833–873.
Philippon, Thomas. (2019). The Economics and Politics of Market Concentration. Econstor (Econstor). 2019(4). 10.3 indexed citations
6.
Jones, Callum, Virgiliu Midrigan, & Thomas Philippon. (2018). Household Leverage and the Recession. IMF Working Paper. 18(194). 1–1.11 indexed citations
Pagnotta, Emiliano & Thomas Philippon. (2012). Competing on Speed. SSRN Electronic Journal.19 indexed citations
13.
Philippon, Thomas. (2011). Has the U.S. Finance Industry Become Less Efficient. The Faculty Digital Archive (New York University).16 indexed citations
14.
Acharya, Viral V., Lasse Heje Pedersen, Thomas Philippon, & Matthew Richardson. (2010). Measuring Systemic Risk. SSRN Electronic Journal.112 indexed citations
15.
Philippon, Thomas & Nicolas Véron. (2008). Financing Europe's Fast Movers. Bruegel Policy Brief 2008/01, January 2008. Archive of European Integration (AEI) (University of Pittsburgh).12 indexed citations
16.
Almeida, Heitor & Thomas Philippon. (2007). \tThe Risk-Adjusted Cost of Financial Distress.285 indexed citations
17.
Philippon, Thomas. (2007). The Equilibrium Size of the Financial Sector. The Faculty Digital Archive (New York University).2 indexed citations
18.
Bergstresser, Daniel & Thomas Philippon. (2005). CEO incentives and earnings management. Journal of Financial Economics. 80(3). 511–529.211 indexed citations
Abowd, John M., Françis Kramarz, David Margolis, & Thomas Philippon. (2000). The Tail of Two Countries: Minimum Wages and Employment in France and the United States. RePEc: Research Papers in Economics.9 indexed citations
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.