Knowledge representation: logical, philosophical, and computational foundations
- Authors
- John F. Sowa
- Journal
- CERN Document Server (European Organization for Nuclear Research)
In The Last Decade
doi.org/w2747307 →Countries where authors are citing Knowledge representation: logical, philosophical, and computational foundations
This map shows the geographic impact of Knowledge representation: logical, philosophical, and computational foundations. 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 Knowledge representation: logical, philosophical, and computational foundations with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Knowledge representation: logical, philosophical, and computational foundations more than expected).
Fields of papers citing Knowledge representation: logical, philosophical, and computational foundations
This network shows the impact of Knowledge representation: logical, philosophical, and computational foundations. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the Knowledge representation: logical, philosophical, and computational foundations.
About Knowledge representation: logical, philosophical, and computational foundations
This paper, published in 2000, received 1.3k indexed citations . Written by John F. Sowa covering the research area of Artificial Intelligence and Computer Networks and Communications. It is primarily cited by scholars working on Artificial Intelligence (935 citations), Information Systems (419 citations) and Computer Networks and Communications (204 citations). Published in CERN Document Server (European Organization for Nuclear Research).
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/w2747307.