Annual Report Readability, Current Earnings, and Earnings Persistence
- Authors
- Feng Li
- Journal
- SSRN Electronic Journal
In The Last Decade
doi.org/10.2139/ssrn.887382 →Countries where authors are citing Annual Report Readability, Current Earnings, and Earnings Persistence
This map shows the geographic impact of Annual Report Readability, Current Earnings, and Earnings Persistence. 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 Annual Report Readability, Current Earnings, and Earnings Persistence with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Annual Report Readability, Current Earnings, and Earnings Persistence more than expected).
Fields of papers citing Annual Report Readability, Current Earnings, and Earnings Persistence
This network shows the impact of Annual Report Readability, Current Earnings, and Earnings Persistence. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the Annual Report Readability, Current Earnings, and Earnings Persistence.
About Annual Report Readability, Current Earnings, and Earnings Persistence
This paper, published in 2006, received 559 indexed citations . Written by Feng Li covering the research area of Finance and Accounting. It is primarily cited by scholars working on Accounting (479 citations), Finance (235 citations) and Strategy and Management (155 citations). Published in SSRN Electronic Journal.
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/10.2139/ssrn.887382.