Jim Hayes

1.4k citations
7 papers · 936 indexed · 1 hit paper · h-index 6
Topics
Distributed and Parallel Computing Systems (6 papers)Parallel Computing and Optimization Techniques (4 papers)Scientific Computing and Data Management (3 papers)
Partner nations
United StatesSingapore

In The Last Decade

Jim Hayes

7 papers receiving 849 citations

Hit Papers

The network weather service: a distributed resource perfo...19992026200820171999250500750

Peers

Jim Hayes
Comparison fields: 5 of 44
  • Computer Networks and Communications 909
  • Hardware and Architecture 449
  • Information Systems 420
  • Information Systems and Management 167
  • Artificial Intelligence 37
Replace Warren Smith with:
Warren Smith United States
Rajesh Raman United States
Kenneth Hoste Belgium
Nathalie Furmento France
Robert van Engelen United States
Bryan Carpenter United Kingdom
M. Govindaraju United States
Karen L. Karavanic United States
Lauro Beltrão Costa Canada
Teng Wang China
Jim Hayes relative to Warren Smith United States Warren Smith's profile →
Citations per field
00.5×1.5×
Warren Smith · 1×
Citations per year

Countries citing papers authored by Jim Hayes

Since Specialization
Citations

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

Fields of papers citing papers by Jim Hayes

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Jim Hayes

This figure shows the co-authorship network connecting the top 25 collaborators of Jim Hayes. A scholar is included among the top collaborators of Jim Hayes 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 Jim Hayes. Jim Hayes is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

7 of 7 papers shown
#WorkIndexed citations
1 15
2 17
3 16
4 9
5 42
6
The network weather service: a distributed resource performance forecasting service for metacomputingbreakdown →
835
7 2

About Jim Hayes

Jim Hayes is a scholar working on Hardware and Architecture, Information Systems and Management and Computer Networks and Communications, having authored 7 papers that have together received 936 indexed citations. Recurring topics across this work include Distributed and Parallel Computing Systems (6 papers), Parallel Computing and Optimization Techniques (4 papers) and Scientific Computing and Data Management (3 papers). The work is most often cited by research in Hardware and Architecture (449 citations), Computer Networks and Communications (909 citations) and Information Systems and Management (167 citations). Jim Hayes has collaborated with scholars based in United States and Singapore. Frequent co-authors include Rich Wolski, Neil Spring, Catherine Olschanowsky, Shava Smallen, Henri Casanova, Nicholas J. Wright, Allan Snavely, Gene Cooperman, Thomas Witzel and Vicente M. Reyes. Their work appears in journals such as The Journal of Urology, Future Generation Computer Systems and Cluster Computing.

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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