Prospective Memory : Cognitive, Neuroscience, Developmental, and Applied Perspectives
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In The Last Decade
doi.org/w8934639 →Countries where authors are citing Prospective Memory : Cognitive, Neuroscience, Developmental, and Applied Perspectives
This map shows the geographic impact of Prospective Memory : Cognitive, Neuroscience, Developmental, and Applied Perspectives. 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 Prospective Memory : Cognitive, Neuroscience, Developmental, and Applied Perspectives with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Prospective Memory : Cognitive, Neuroscience, Developmental, and Applied Perspectives more than expected).
Fields of papers citing Prospective Memory : Cognitive, Neuroscience, Developmental, and Applied Perspectives
This network shows the impact of Prospective Memory : Cognitive, Neuroscience, Developmental, and Applied Perspectives. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the Prospective Memory : Cognitive, Neuroscience, Developmental, and Applied Perspectives.
About Prospective Memory : Cognitive, Neuroscience, Developmental, and Applied Perspectives
This paper, published in 2007, received 536 indexed citations . Written by Matthias Kliegel, Mark A. McDaniel and Gilles O. Einstein covering the research area of Experimental and Cognitive Psychology. It is primarily cited by scholars working on Experimental and Cognitive Psychology (494 citations), Psychiatry and Mental health (319 citations) and Cognitive Neuroscience (288 citations). Published in Psychology Press eBooks.
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/w8934639.