Nicholas E. Taylor
Impact in
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- Advanced Database Systems and Queries
- Distributed systems and fault tolerance
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- Scientific Computing and Data Management
Papers in
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- Advanced Database Systems and Queries 9
- Distributed systems and fault tolerance 4
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- Research Data Management Practices 3
- Co-authors
- Zachary G. Ives (8 shared papers)Todd J. Green (2 shared papers)Val Tannen (2 shared papers)Grigoris Karvounarakis (3 shared papers)Partha Pratim Talukdar (1 shared paper)Fernando Pereira (1 shared paper)Boon Thau Loo (2 shared papers)Wenchao Zhou (2 shared papers)
- Journals
- IEEE Transactions on Knowledge and Data Engineering (1 paper)ACM SIGMOD Record (1 paper)Proceedings - International Conference on Data Engineering (3 papers)Proceedings - ACM-SIGMOD International Conference on Management of Data (2 papers)ScholarlyCommons (University of Pennsylvania) (2 papers)
- Partner nations
- United States
In The Last Decade
Nicholas E. Taylor
9 papers receiving 278 citations
Peers
Comparison fields: 5 of 20
- Computer Networks and Communications 189
- Information Systems and Management 31
- Artificial Intelligence 110
- Management Science and Operations Research 42
- Information Systems 60
Countries citing papers authored by Nicholas E. Taylor
This map shows the geographic impact of Nicholas E. Taylor'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 Nicholas E. Taylor with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Nicholas E. Taylor more than expected).
Fields of papers citing papers by Nicholas E. Taylor
This network shows the impact of papers produced by Nicholas E. Taylor. 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 Nicholas E. Taylor. The network helps show where Nicholas E. Taylor may publish in the future.
Co-authors
The 8 scholars most cited alongside Nicholas E. Taylor, 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 | 2006 | 71 | |
| 2 | 2008 | 70 | |
| 3 | 2007 | 53 | |
| 4 | 2008 | 36 | |
| 5 | 2009 | 33 | |
| 6 | 2010 | 23 | |
| 7 | 2010 | 5 | |
| 8 | ORCHESTRA: facilitating collaborative data sharing | 2007 | 2 |
| 9 | Recovery From Node Failure in Distributed Query Processing | 2008 | 1 |
| 10 | A distributed storage and query subsystem for collaborative data sharing | 2010 | 0 |
About Nicholas E. Taylor
Nicholas E. Taylor is a scholar working on Computer Networks and Communications, Information Systems, Artificial Intelligence, Information Systems and Management and Management Science and Operations Research, having authored 10 papers that have together received 294 indexed citations. Recurring topics across this work include Advanced Database Systems and Queries (9 papers), Distributed systems and fault tolerance (4 papers), Research Data Management Practices (3 papers), Semantic Web and Ontologies (3 papers), Data Quality and Management (1 paper) and Scientific Computing and Data Management (1 paper). The work is most often cited by research in Computer Networks and Communications (189 citations), Information Systems and Management (31 citations), Artificial Intelligence (110 citations), Management Science and Operations Research (42 citations) and Information Systems (60 citations). Nicholas E. Taylor has collaborated with scholars based in United States. Frequent co-authors include Zachary G. Ives, Todd J. Green, Val Tannen, Grigoris Karvounarakis, Partha Pratim Talukdar, Fernando Pereira, Boon Thau Loo and Wenchao Zhou. Their work appears in journals such as IEEE Transactions on Knowledge and Data Engineering, ACM SIGMOD Record, Proceedings - International Conference on Data Engineering, Proceedings - ACM-SIGMOD International Conference on Management of Data and ScholarlyCommons (University of Pennsylvania).
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.