Parke Godfrey

45 papers receiving 1.3k citations

Hit Papers

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Peers

Parke Godfrey
Comparison fields: 5 of 75
  • Signal Processing 1.1k
  • Computer Networks and Communications 875
  • Artificial Intelligence 374
  • Geography, Planning and Development 329
  • Information Systems 278
Replace Jarek Gryz with:
Jarek Gryz Canada
Michael H. Böhlen Italy
Seung-won Hwang South Korea
George Beskales Canada
Jongwuk Lee South Korea
Yasuhiko Morimoto Japan
Holger Bast Germany
Yaron Kanza United States
Justin J. Levandoski United States
Michal Batko Czechia
Parke Godfrey relative to Jarek Gryz Canada Jarek Gryz's profile →
Citations per field
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Jarek Gryz · 1×
Citations per year

Countries citing papers authored by Parke Godfrey

Since Specialization
Citations

This map shows the geographic impact of Parke Godfrey'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 Parke Godfrey with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Parke Godfrey more than expected).

Fields of papers citing papers by Parke Godfrey

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Parke Godfrey. 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 Parke Godfrey. The network helps show where Parke Godfrey may publish in the future.

Co-authorship network of co-authors of Parke Godfrey

This figure shows the co-authorship network connecting the top 25 collaborators of Parke Godfrey. A scholar is included among the top collaborators of Parke Godfrey based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Parke Godfrey. Parke Godfrey is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
#WorkIndexed citations
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SwarmGuide: Towards Multiple-Query Optimization in Graph Databases.
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TGDB: towards a benchmark for graph databases
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7 9
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Axiomatic System for Order Dependencies.
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9
Evaluation of SPARQL Property Paths via Recursive SQL.
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10 27
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Chasing Polarized Order Dependencies.
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Cooperative Answers in Database Systems
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13 1
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Maximal vector computation in large data sets
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View Disassembly
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An architecture and implementation for a cooperative database system
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Intensional Query Optimization
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Semantic Query Caching for Hetereogeneous Databases.
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Overview of Dynamic Query Evaluation in Intensional Query Optimization
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20 49

About Parke Godfrey

Parke Godfrey is a scholar working on Signal Processing, Computer Networks and Communications and Computer Graphics and Computer-Aided Design, having authored 52 papers that have together received 1.4k indexed citations. Recurring topics across this work include Advanced Database Systems and Queries (34 papers), Data Management and Algorithms (30 papers) and Semantic Web and Ontologies (20 papers). The work is most often cited by research in Signal Processing (1.1k citations), Geography, Planning and Development (329 citations) and Computer Networks and Communications (875 citations). Parke Godfrey has collaborated with scholars based in Canada, United States and Poland. Frequent co-authors include Jarek Gryz, J. Ryan Shipley, Jan Chomicki, Jack Minker, Terry Gaasterland, Jaroslaw Szlichta, Calisto Zuzarte, Nikolay Yakovets, Mehdi Kargar and Wenbin Ma. Their work appears in journals such as IEEE Transactions on Knowledge and Data Engineering, Proceedings of the VLDB Endowment and ACM SIGMOD Record.

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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