Nicholas E. Taylor

1.8k citations
12 papers · 1.2k · h-index 9

Impact in

Papers in

Nicholas E. Taylor

11 papers receiving 1.1k citations

Peers

Nicholas E. Taylor
Comparison fields: 5 of 72
  • Plant Science 805
  • Information Systems and Management 108
  • Computer Networks and Communications 206
  • Molecular Biology 577
  • Aging 9
Replace Mary Schaeffer with:
Mary Schaeffer United States
Robert Müller Germany
Guiomar Martín Spain
Lonnie R. Welch United States
Saurabh Gupta United States
Dan Bolser United Kingdom
Lincoln Stein United States
David Fernández‐Baca United States
João Meidânis Brazil
Krishna Kumar Chaturvedi India
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Citations per field
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Citations per year

Countries citing papers authored by Nicholas E. Taylor

Since Specialization
Citations

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

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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 19 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.

Border = papers with Nicholas E. Taylor Line = papers co-authored together Nicholas E. Taylor links everyone, so they are left out of the graph.

All Works

12 of 12 papers shown
#Work
1 2003446
2 2003419
3 200381
4 200661
5 200857
6 200742
7 200933
8 200829
9 201019
10 20105
11
Recovery From Node Failure in Distributed Query Processing
20081
12
A distributed storage and query subsystem for collaborative data sharing
20100

About Nicholas E. Taylor

Nicholas E. Taylor is a scholar working on Computer Networks and Communications, Information Systems and Management, Molecular Biology, Signal Processing and Plant Science, having authored 12 papers that have together received 1.2k indexed citations. Recurring topics across this work include Advanced Database Systems and Queries (8 papers), Distributed systems and fault tolerance (6 papers), Scientific Computing and Data Management (4 papers), Advanced Data Storage Technologies (3 papers), Chromosomal and Genetic Variations (2 papers), Data Management and Algorithms (2 papers), Peer-to-Peer Network Technologies (2 papers) and Plant Genetic and Mutation Studies (2 papers). The work is most often cited by research in Plant Science (805 citations), Information Systems and Management (108 citations), Computer Networks and Communications (206 citations), Molecular Biology (577 citations) and Aging (9 citations). Nicholas E. Taylor has collaborated with scholars based in United States. Frequent co-authors include Zachary G. Ives, Jorja G. Henikoff, Elizabeth A. Greene, Steven H. Reynolds, Bradley J. Till, Linda C. Enns, Luca Comai, Steven Henikoff, Jessica Johnson and Anthony R. Odden. Their work appears in journals such as ACM SIGMOD Record, Genetics, Nucleic Acids Research, IEEE Transactions on Knowledge and Data Engineering and Genome 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.

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