STRIPS: a new approach to the application of theorem proving to problem solving
- Authors
- Richard FikesNils J. Nilsson
- Journal
- International Joint Conference on Artificial Intelligence
In The Last Decade
doi.org/w9691390 →Countries where authors are citing STRIPS: a new approach to the application of theorem proving to problem solving
This map shows the geographic impact of STRIPS: a new approach to the application of theorem proving to problem solving. 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 STRIPS: a new approach to the application of theorem proving to problem solving with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites STRIPS: a new approach to the application of theorem proving to problem solving more than expected).
Fields of papers citing STRIPS: a new approach to the application of theorem proving to problem solving
This network shows the impact of STRIPS: a new approach to the application of theorem proving to problem solving. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the STRIPS: a new approach to the application of theorem proving to problem solving.
About STRIPS: a new approach to the application of theorem proving to problem solving
This paper, published in 1971, received 963 indexed citations . Written by Richard Fikes and Nils J. Nilsson covering the research area of Software, Artificial Intelligence and Computational Theory and Mathematics. It is primarily cited by scholars working on Artificial Intelligence (841 citations), Computer Networks and Communications (200 citations) and Computer Vision and Pattern Recognition (122 citations). Published in International Joint Conference on Artificial Intelligence.
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/w9691390.