Report on a general problem-solving program.

239 indexed citations
published 1959
Journal
IFIP Congress

In The Last Decade

doi.org/w11238780 →

Countries where authors are citing Report on a general problem-solving program.

Specialization
Citations

This map shows the geographic impact of Report on a general problem-solving program.. 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 Report on a general problem-solving program. with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Report on a general problem-solving program. more than expected).

Fields of papers citing Report on a general problem-solving program.

Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of Report on a general problem-solving program.. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the Report on a general problem-solving program..

About Report on a general problem-solving program.

This paper, published in 1959, received 239 indexed citations . Written by Allen Newell, John C. Shaw and Herbert A. Simon. It is primarily cited by scholars working on Artificial Intelligence (138 citations), Computational Theory and Mathematics (43 citations), Cognitive Neuroscience (28 citations), Management Science and Operations Research (19 citations) and Sociology and Political Science (17 citations). Published in IFIP Congress.

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/w11238780.

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