Minds and Machines

832 papers receiving 13.9k citations

Peers

Minds and Machines
Comparison fields: 5 of 215
  • Artificial Intelligence 5.0k
  • Cognitive Neuroscience 4.1k
  • Safety Research 3.3k
  • Sociology and Political Science 1.9k
  • Computational Theory and Mathematics 1.8k
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Countries where authors publish in Minds and Machines

Since Specialization
Citations

This map shows the geographic impact of research published in Minds and Machines. 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 papers published in Minds and Machines with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Minds and Machines more than expected).

Fields of papers published in Minds and Machines

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers published in Minds and Machines. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the papers published in Minds and Machines.

About Minds and Machines

The 967 papers published in Minds and Machines in the last decades have received a total of 15.7k indexed citations . Papers published in Minds and Machines usually cover History and Philosophy of Science (136 papers), Computational Theory and Mathematics (251 papers) and Experimental and Cognitive Psychology (200 papers) specifically the topics of Computability, Logic, AI Algorithms (233 papers), Philosophy and Theoretical Science (157 papers) and Embodied and Extended Cognition (128 papers). The most active scholars publishing in Minds and Machines are Luciano Floridi, J. W. Sanders, James H. Fetzer, Mariarosaria Taddeo, Robert Sparrow, B. Jack Copeland, Graéme Ritchie, Stevan Harnad, Marcus Hütter and Shane Legg.

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.

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