Neural systems of reinforcement for drug addiction: from actions to habits to compulsion
- Journal
- Nature Neuroscience
In The Last Decade
doi.org/10.1038/nn1579 →Countries where authors are citing Neural systems of reinforcement for drug addiction: from actions to habits to compulsion
This map shows the geographic impact of Neural systems of reinforcement for drug addiction: from actions to habits to compulsion. 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 Neural systems of reinforcement for drug addiction: from actions to habits to compulsion with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Neural systems of reinforcement for drug addiction: from actions to habits to compulsion more than expected).
Fields of papers citing Neural systems of reinforcement for drug addiction: from actions to habits to compulsion
This network shows the impact of Neural systems of reinforcement for drug addiction: from actions to habits to compulsion. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the Neural systems of reinforcement for drug addiction: from actions to habits to compulsion.
About Neural systems of reinforcement for drug addiction: from actions to habits to compulsion
This paper, published in 2005, received 2.8k indexed citations . Written by Barry J. Everitt and Trevor W. Robbins covering the research area of Cognitive Neuroscience and Cellular and Molecular Neuroscience. It is primarily cited by scholars working on Cellular and Molecular Neuroscience (1.7k citations), Cognitive Neuroscience (1.2k citations) and Molecular Biology (639 citations). Published in Nature Neuroscience.
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/10.1038/nn1579.