Engines of Anxiety: Academic Rankings, Reputation, and Accountability
- Journal
- Project Muse (Johns Hopkins University)
In The Last Decade
doi.org/w28991254 →Countries where authors are citing Engines of Anxiety: Academic Rankings, Reputation, and Accountability
This map shows the geographic impact of Engines of Anxiety: Academic Rankings, Reputation, and Accountability. 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 Engines of Anxiety: Academic Rankings, Reputation, and Accountability with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Engines of Anxiety: Academic Rankings, Reputation, and Accountability more than expected).
Fields of papers citing Engines of Anxiety: Academic Rankings, Reputation, and Accountability
This network shows the impact of Engines of Anxiety: Academic Rankings, Reputation, and Accountability. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the Engines of Anxiety: Academic Rankings, Reputation, and Accountability.
About Engines of Anxiety: Academic Rankings, Reputation, and Accountability
This paper, published in 2016, received 293 indexed citations . Written by Wendy Nelson Espeland and Michael Sauder. It is primarily cited by scholars working on Sociology and Political Science (110 citations), Political Science and International Relations (95 citations), Organizational Behavior and Human Resource Management (60 citations), Education (59 citations) and Statistics, Probability and Uncertainty (31 citations). Published in Project Muse (Johns Hopkins University).
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/w28991254.