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.
Dissecting climate risks: Are they reflected in stock prices?
2023153 citationsRenato Faccini, Rastin Matin et al.Journal of Banking & Financeprofile →
Peers — A (Enhanced Table)
Peers by citation overlap · career bar shows stage (early→late)
cites ·
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Countries citing papers authored by George Skiadopoulos
Since
Specialization
Citations
This map shows the geographic impact of George Skiadopoulos'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 George Skiadopoulos with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites George Skiadopoulos more than expected).
Fields of papers citing papers by George Skiadopoulos
This network shows the impact of papers produced by George Skiadopoulos. 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 George Skiadopoulos. The network helps show where George Skiadopoulos may publish in the future.
Co-authorship network of co-authors of George Skiadopoulos
This figure shows the co-authorship network connecting the top 25 collaborators of George Skiadopoulos.
A scholar is included among the top collaborators of George Skiadopoulos 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 George Skiadopoulos. George Skiadopoulos is excluded from
the visualization to improve readability, since they are connected to all nodes in the network.
Skiadopoulos, George, et al.. (2008). Can the Dynamics of the Term Structure of Petroleum Futures be Forecasted? Evidence from Major Markets. SSRN Electronic Journal.3 indexed citations
11.
Konstantinidi, Eirini, et al.. (2007). Can the Evolution of Implied Volatility Be Forecasted? Evidence from European and U.S. Implied Volatility Indices. SSRN Electronic Journal.19 indexed citations
12.
Dotsis, George, Dimitris Psychoyios, & George Skiadopoulos. (2007). An Empirical Comparison of Continuous-Time Models of Implied Volatility Indices. SSRN Electronic Journal.9 indexed citations
13.
Psychoyios, Dimitris & George Skiadopoulos. (2005). Volatility Options: Hedging Effectiveness, Pricing, and Model Error. SSRN Electronic Journal.1 indexed citations
Skiadopoulos, George & Stewart D. Hodges. (2001). Simulating the Evolution of the Implied Distribution. SSRN Electronic Journal.1 indexed citations
19.
Skiadopoulos, George, Stewart D. Hodges, & Les Clewlow. (2000). The Dynamics of the S&P 500 Implied Volatility Surface. SSRN Electronic Journal.8 indexed citations
20.
Skiadopoulos, George, Stewart D. Hodges, & Les Clewlow. (1998). The Dynamics of Smiles. 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.