Michael Kay
Impact in
- Signal Processing top 10%
- Data Management and Algorithms
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- Advanced Database Systems and Queries
Papers in
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- Digital Humanities and Scholarship 12
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- Mathematics, Computing, and Information Processing 9
- Co-authors
- Donald D. Chamberlin (1 shared paper)Philip L. Wadler (1 shared paper)Denise L. Draper (1 shared paper)John Lumley (1 shared paper)
- Journals
- CERN Document Server (European Organization for Nuclear Research) (1 paper)IEEE Data(base) Engineering Bulletin (1 paper)Balisage series on markup technologies (9 papers)Medical Entomology and Zoology (1 paper)
- Partner nations
- AustraliaNetherlandsPortugal
In The Last Decade
Michael Kay
14 papers receiving 228 citations
Peers
Comparison fields: 5 of 44
- Signal Processing 77
- Computer Networks and Communications 149
- Software 19
- Artificial Intelligence 146
- Information Systems 72
Countries citing papers authored by Michael Kay
This map shows the geographic impact of Michael Kay's research. 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 Michael Kay with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Michael Kay more than expected).
Fields of papers citing papers by Michael Kay
This network shows the impact of papers produced by Michael Kay. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the papers produced by Michael Kay. The network helps show where Michael Kay may publish in the future.
Co-authors
The 4 scholars most cited alongside Michael Kay, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | XSLT 2.0 Programmer's Reference | 2000 | 87 |
| 2 | Xquery from the Experts: A Guide to the W3c XML Query Language | 2003 | 59 |
| 3 | Ten Reasons Why Saxon XQuery is Fast. | 2008 | 32 |
| 4 | Professional XML | 2000 | 23 |
| 5 | XSLT Programmer's Reference 2nd Edition | 2001 | 18 |
| 6 | 2009 | 15 | |
| 7 | 2014 | 9 | |
| 8 | XSLT 2.0 and XPath 2.0 Programmer's Reference (Programmer to Programmer) | 2008 | 8 |
| 9 | Positional Grouping in XQuery. | 2006 | 8 |
| 10 | 2013 | 6 | |
| 11 | 2003 | 6 | |
| 12 | XSLT and XPath Optimization | 2004 | 6 |
| 13 | 2022 | 2 | |
| 14 | 2021 | 1 | |
| 15 | 2015 | 1 | |
| 16 | 2010 | 0 | |
| 17 | 2020 | 0 | |
| 18 | 2011 | 0 | |
| 19 | 2025 | 0 | |
| 20 | 2023 | 0 |
About Michael Kay
Michael Kay is a scholar working on Literature and Literary Theory, Computational Theory and Mathematics, Computer Networks and Communications, Artificial Intelligence and Information Systems, having authored 20 papers that have together received 281 indexed citations. Recurring topics across this work include Digital Humanities and Scholarship (12 papers), Mathematics, Computing, and Information Processing (9 papers), Advanced Database Systems and Queries (5 papers), Semantic Web and Ontologies (3 papers), Advanced Data Storage Technologies (2 papers), Algorithms and Data Compression (2 papers), Parallel Computing and Optimization Techniques (1 paper) and Scientific Computing and Data Management (1 paper). The work is most often cited by research in Signal Processing (77 citations), Computer Networks and Communications (149 citations), Software (19 citations), Artificial Intelligence (146 citations) and Information Systems (72 citations). Michael Kay has collaborated with scholars based in Australia, Netherlands and Portugal. Frequent co-authors include Donald D. Chamberlin, Philip L. Wadler, Denise L. Draper and John Lumley. Their work appears in journals such as CERN Document Server (European Organization for Nuclear Research), IEEE Data(base) Engineering Bulletin, Balisage series on markup technologies and 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.