Rdf vocabulary description language 1.0 : Rdf schema
- Authors
- Dan Brickley
- Journal
- Medical Entomology and Zoology
In The Last Decade
doi.org/w58288417 →Countries where authors are citing Rdf vocabulary description language 1.0 : Rdf schema
This map shows the geographic impact of Rdf vocabulary description language 1.0 : Rdf schema. 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 Rdf vocabulary description language 1.0 : Rdf schema with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Rdf vocabulary description language 1.0 : Rdf schema more than expected).
Fields of papers citing Rdf vocabulary description language 1.0 : Rdf schema
This network shows the impact of Rdf vocabulary description language 1.0 : Rdf schema. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the Rdf vocabulary description language 1.0 : Rdf schema.
About Rdf vocabulary description language 1.0 : Rdf schema
This paper, published in 2004, received 771 indexed citations . Written by Dan Brickley covering the research area of Artificial Intelligence. It is primarily cited by scholars working on Artificial Intelligence (576 citations), Information Systems (430 citations) and Computer Networks and Communications (311 citations). Published in Medical Entomology and Zoology.
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/w58288417.