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.
The Determinants of Credit Spread Changes
20011.5k citationsRobert S. Goldstein et al.profile →
An EBIT‐Based Model of Dynamic Capital Structure
2001706 citationsRobert S. Goldstein, Nengjiu Ju et al.profile →
Do Credit Spreads Reflect Stationary Leverage Ratios?
2001562 citationsPierre Collin‐Dufresne, Robert S. Goldsteinprofile →
Peers — A (Enhanced Table)
Peers by citation overlap · career bar shows stage (early→late)
cites ·
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Countries citing papers authored by Robert S. Goldstein
Since
Specialization
Citations
This map shows the geographic impact of Robert S. Goldstein'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 S. Goldstein with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Robert S. Goldstein more than expected).
Fields of papers citing papers by Robert S. Goldstein
This network shows the impact of papers produced by Robert S. Goldstein. 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 S. Goldstein. The network helps show where Robert S. Goldstein may publish in the future.
Co-authorship network of co-authors of Robert S. Goldstein
This figure shows the co-authorship network connecting the top 25 collaborators of Robert S. Goldstein.
A scholar is included among the top collaborators of Robert S. Goldstein 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 S. Goldstein. Robert S. Goldstein is excluded from
the visualization to improve readability, since they are connected to all nodes in the network.
Benzoni, Luca & Robert S. Goldstein. (2010). Lifecycle Investment Decisions and Labor Income Risk. FRB SF weekly letter.
4.
Goldstein, Robert S.. (2010). Can Structural Models of Default Explain the Credit Spread Puzzle. FRB SF weekly letter.3 indexed citations
5.
Collin‐Dufresne, Pierre, Robert S. Goldstein, & Jean Helwege. (2010). Is Credit Event Risk Priced? Modeling Contagion via the Updating of Beliefs. National Bureau of Economic Research.1 indexed citations
6.
Collin‐Dufresne, Pierre, et al.. (2007). Identification of Maximal Affine Term Structure Models. SSRN Electronic Journal.14 indexed citations
7.
Benzoni, Luca, Pierre Collin‐Dufresne, & Robert S. Goldstein. (2005). Can Standard Preferences Explain the Prices of out of the Money S&P 500 Put Options. National Bureau of Economic Research.5 indexed citations
8.
Goldstein, Robert S., Nengjiu Ju, & Hayne E. Leland. (1998). Endogenous Bankruptcy, Endogenous Restructuring, and Dynamic Capital Structure. SSRN Electronic Journal.2 indexed citations
9.
Wold, Cheryl, George R. Seage, William R. Lenderking, et al.. (1998). Unsafe Sex in Men Who Have Sex With Both Men and Women. Journal of Acquired Immune Deficiency Syndromes & Human Retrovirology. 17(4). 361–367.28 indexed citations
10.
Goldstein, Robert S.. (1997). Identifying the Class of Term Structure Models Possessing Closed-Form Solutions for Bond and Bond-Option Prices: An Expectation Approach. SSRN Electronic Journal.2 indexed citations
Goldstein, Robert S.. (1953). [Myelitis after atypic pneumonia].. PubMed. 8(1). 107–10.1 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.