DebtRank: Too Central to Fail? Financial Networks, the FED and Systemic Risk

530 indexed citations

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This paper, published in 2012, received 530 indexed citations. Written by Stefano Battiston, Michelangelo Puliga, Paolo Tasca and Guido Caldarelli covering the research area of Finance and Economics and Econometrics. It is primarily cited by scholars working on Economics and Econometrics (348 citations), Finance (319 citations) and Statistical and Nonlinear Physics (121 citations). Published in Scientific Reports.

Countries where authors are citing DebtRank: Too Central to Fail? Financial Networks, the FED and Systemic Risk

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This map shows the geographic impact of DebtRank: Too Central to Fail? Financial Networks, the FED and Systemic Risk. 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 DebtRank: Too Central to Fail? Financial Networks, the FED and Systemic Risk with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites DebtRank: Too Central to Fail? Financial Networks, the FED and Systemic Risk more than expected).

Fields of papers citing DebtRank: Too Central to Fail? Financial Networks, the FED and Systemic Risk

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Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of DebtRank: Too Central to Fail? Financial Networks, the FED and Systemic Risk. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the DebtRank: Too Central to Fail? Financial Networks, the FED and Systemic Risk.

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.

This paper is also available at doi.org/10.1038/srep00541.

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