Data on the Web: From Relations to Semistructured Data and XML
- Journal
- CERN Document Server (European Organization for Nuclear Research)
In The Last Decade
doi.org/w67774369 →Countries where authors are citing Data on the Web: From Relations to Semistructured Data and XML
This map shows the geographic impact of Data on the Web: From Relations to Semistructured Data and XML. 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 Data on the Web: From Relations to Semistructured Data and XML with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Data on the Web: From Relations to Semistructured Data and XML more than expected).
Fields of papers citing Data on the Web: From Relations to Semistructured Data and XML
This network shows the impact of Data on the Web: From Relations to Semistructured Data and XML. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the Data on the Web: From Relations to Semistructured Data and XML.
About Data on the Web: From Relations to Semistructured Data and XML
This paper, published in 1999, received 548 indexed citations . Written by Serge Abiteboul, Peter Buneman and Dan Suciu. It is primarily cited by scholars working on Computer Networks and Communications (390 citations), Artificial Intelligence (366 citations) and Signal Processing (231 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/w67774369.