Identifying Relations for Open Information Extraction
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doi.org/w78662425 →Countries where authors are citing Identifying Relations for Open Information Extraction
This map shows the geographic impact of Identifying Relations for Open Information Extraction. 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 Identifying Relations for Open Information Extraction with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Identifying Relations for Open Information Extraction more than expected).
Fields of papers citing Identifying Relations for Open Information Extraction
This network shows the impact of Identifying Relations for Open Information Extraction. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the Identifying Relations for Open Information Extraction.
About Identifying Relations for Open Information Extraction
This paper, published in 2011, received 704 indexed citations . Written by Anthony Fader, Stephen Soderland and Oren Etzioni covering the research area of Artificial Intelligence and Information Systems. It is primarily cited by scholars working on Artificial Intelligence (645 citations), Information Systems (165 citations), Management Science and Operations Research (90 citations), Molecular Biology (71 citations) and Computer Vision and Pattern Recognition (57 citations).
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/w78662425.