Appraisal processes in emotion: Theory, methods, research.
Impact in
- Journal
- CentAUR (University of Reading)
In The Last Decade
doi.org/w544977 →Countries where authors are citing Appraisal processes in emotion: Theory, methods, research.
This map shows the geographic impact of Appraisal processes in emotion: Theory, methods, research.. 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 Appraisal processes in emotion: Theory, methods, research. with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Appraisal processes in emotion: Theory, methods, research. more than expected).
Fields of papers citing Appraisal processes in emotion: Theory, methods, research.
This network shows the impact of Appraisal processes in emotion: Theory, methods, research.. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the Appraisal processes in emotion: Theory, methods, research..
About Appraisal processes in emotion: Theory, methods, research.
This paper, published in 2001, received 1.3k indexed citations . Written by Klaus R. Scherer, Angela Schorr and Tom Johnstone. It is primarily cited by scholars working on Social Psychology (677 citations), Cognitive Neuroscience (405 citations), Experimental and Cognitive Psychology (390 citations), Sociology and Political Science (271 citations) and Clinical Psychology (157 citations). Published in CentAUR (University of Reading).
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/w544977.