Forecasting Bankruptcy More Accurately: A Simple Hazard Model

1.8k indexed citations
published 2001

Countries where authors are citing Forecasting Bankruptcy More Accurately: A Simple Hazard Model

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Citations

This map shows the geographic impact of Forecasting Bankruptcy More Accurately: A Simple Hazard Model. 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 Forecasting Bankruptcy More Accurately: A Simple Hazard Model with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Forecasting Bankruptcy More Accurately: A Simple Hazard Model more than expected).

Fields of papers citing Forecasting Bankruptcy More Accurately: A Simple Hazard Model

Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of Forecasting Bankruptcy More Accurately: A Simple Hazard Model. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the Forecasting Bankruptcy More Accurately: A Simple Hazard Model.

About Forecasting Bankruptcy More Accurately: A Simple Hazard Model

This paper, published in 2001, received 1.8k indexed citations . Written by Tyler Shumway covering the research area of Finance and Accounting. It is primarily cited by scholars working on Accounting (1.5k citations), Finance (1.1k citations) and Economics and Econometrics (366 citations). Published in The Journal of Business.

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/10.1086/209665.

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