A recognition-primed decision (RPD) model of rapid decision making.
Impact in
- Authors
- Gary Klein
In The Last Decade
doi.org/w73408500 →Countries where authors are citing A recognition-primed decision (RPD) model of rapid decision making.
This map shows the geographic impact of A recognition-primed decision (RPD) model of rapid decision making.. 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 A recognition-primed decision (RPD) model of rapid decision making. with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites A recognition-primed decision (RPD) model of rapid decision making. more than expected).
Fields of papers citing A recognition-primed decision (RPD) model of rapid decision making.
This network shows the impact of A recognition-primed decision (RPD) model of rapid decision making.. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the A recognition-primed decision (RPD) model of rapid decision making..
About A recognition-primed decision (RPD) model of rapid decision making.
This paper, published in 1993, received 553 indexed citations . Written by Gary Klein. It is primarily cited by scholars working on Social Psychology (211 citations), Artificial Intelligence (104 citations), Management Science and Operations Research (101 citations), General Decision Sciences (67 citations) and Sociology and Political Science (65 citations).
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/w73408500.