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.
Bond Pricing and the Term Structure of Interest Rates: A New Methodology for Contingent Claims Valuation
19921.8k citationsRobert A. Jarrow et al.profile →
Pricing Derivatives on Financial Securities Subject to Credit Risk
19951.2k citationsRobert A. Jarrow et al.profile →
A Markov Model for the Term Structure of Credit Risk Spreads
1997889 citationsRobert A. Jarrow, David Lando et al.profile →
Countries citing papers authored by Robert A. Jarrow
Since
Specialization
Citations
This map shows the geographic impact of Robert A. Jarrow'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 Robert A. Jarrow with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Robert A. Jarrow more than expected).
Fields of papers citing papers by Robert A. Jarrow
This network shows the impact of papers produced by Robert A. Jarrow. 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 Robert A. Jarrow. The network helps show where Robert A. Jarrow may publish in the future.
Co-authorship network of co-authors of Robert A. Jarrow
This figure shows the co-authorship network connecting the top 25 collaborators of Robert A. Jarrow.
A scholar is included among the top collaborators of Robert A. Jarrow 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 Robert A. Jarrow. Robert A. Jarrow is excluded from
the visualization to improve readability, since they are connected to all nodes in the network.
Jarrow, Robert A., et al.. (2012). Estimating Expected Losses and Liquidity Discounts Implicit in Debt Prices. SSRN Electronic Journal.2 indexed citations
8.
Protter, Philip, et al.. (2011). A Liquidity Based Model for Asset Price Bubbles. SSRN Electronic Journal.9 indexed citations
9.
Jarrow, Robert A. & Philip Protter. (2009). Forward and Futures Prices with Bubbles. SSRN Electronic Journal.2 indexed citations
Fu, Michael C., et al.. (2007). Advances in Mathematical Finance. CERN Document Server (European Organization for Nuclear Research).50 indexed citations
Jarrow, Robert A., et al.. (2004). Estimating the Value of Delivery Options in Futures Contracts. SSRN Electronic Journal.2 indexed citations
14.
Jarrow, Robert A. & Philip Protter. (2004). Structural vs Reduced Form Models: A New Information Based Perspective. SSRN Electronic Journal.27 indexed citations
15.
Jarrow, Robert A.. (2001). Default Parameter Estimation Using Market Prices. SSRN Electronic Journal.19 indexed citations
16.
Jarrow, Robert A., et al.. (2000). The Second Fundamental Theorem of Asset Pricing ? A New Approach. SSRN Electronic Journal.3 indexed citations
17.
Jarrow, Robert A. & Éric Jacquier. (1999). Dynamic Evaluation of Contingent Claim Models (An Analysis of Model Error). SSRN Electronic Journal.3 indexed citations
18.
Jarrow, Robert A. & Éric Jacquier. (1998). Model Error in Contingent Claim Models (Dynamic Evaluation). SSRN Electronic Journal.1 indexed citations
19.
Jarrow, Robert A., et al.. (1998). Market Manipulation, Price Bubbles and a Model of the U.S. Treasury Securities Auction Market. SSRN Electronic Journal.1 indexed citations
20.
Eisenberg, Larry & Robert A. Jarrow. (1991). Option Pricing with Random Volatilities in Complete Markets. SSRN Electronic Journal.1 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.