Untersuchungen mit einer deutschen Version der "Positive and Negative Affect Schedule" (PANAS).
- Journal
- Diagnostica
In The Last Decade
doi.org/w7871524 →Countries where authors are citing Untersuchungen mit einer deutschen Version der "Positive and Negative Affect Schedule" (PANAS).
This map shows the geographic impact of Untersuchungen mit einer deutschen Version der "Positive and Negative Affect Schedule" (PANAS).. 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 Untersuchungen mit einer deutschen Version der "Positive and Negative Affect Schedule" (PANAS). with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Untersuchungen mit einer deutschen Version der "Positive and Negative Affect Schedule" (PANAS). more than expected).
Fields of papers citing Untersuchungen mit einer deutschen Version der "Positive and Negative Affect Schedule" (PANAS).
This network shows the impact of Untersuchungen mit einer deutschen Version der "Positive and Negative Affect Schedule" (PANAS).. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the Untersuchungen mit einer deutschen Version der "Positive and Negative Affect Schedule" (PANAS)..
About Untersuchungen mit einer deutschen Version der "Positive and Negative Affect Schedule" (PANAS).
This paper, published in 1996, received 519 indexed citations . Written by Heinz Walter Krohne, Boris Egloff, Carl‐Walter Kohlmann and Anja Tausch covering the research area of Social Psychology. It is primarily cited by scholars working on Experimental and Cognitive Psychology (186 citations), Cognitive Neuroscience (176 citations) and Social Psychology (170 citations). Published in Diagnostica.
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/w7871524.