Causal Analysis: Assumptions, Models, and Data
- Journal
- Academy of Management Review
In The Last Decade
doi.org/10.2307/258244 →Countries where authors are citing Causal Analysis: Assumptions, Models, and Data
This map shows the geographic impact of Causal Analysis: Assumptions, Models, and Data. 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 Causal Analysis: Assumptions, Models, and Data with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Causal Analysis: Assumptions, Models, and Data more than expected).
Fields of papers citing Causal Analysis: Assumptions, Models, and Data
This network shows the impact of Causal Analysis: Assumptions, Models, and Data. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the Causal Analysis: Assumptions, Models, and Data.
About Causal Analysis: Assumptions, Models, and Data
This paper, published in 1984, received 1.1k indexed citations . Written by Chester A. Schriesheim, Lawrence R. James and Jeanne M. Brett. It is primarily cited by scholars working on Organizational Behavior and Human Resource Management (371 citations), Social Psychology (255 citations) and Sociology and Political Science (237 citations). Published in Academy of Management Review.
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/10.2307/258244.