Michael J. Feeley

2.1k total citations
43 papers, 1.5k citations indexed

About

Michael J. Feeley is a scholar working on Computer Networks and Communications, Hardware and Architecture and Information Systems. According to data from OpenAlex, Michael J. Feeley has authored 43 papers receiving a total of 1.5k indexed citations (citations by other indexed papers that have themselves been cited), including 37 papers in Computer Networks and Communications, 17 papers in Hardware and Architecture and 7 papers in Information Systems. Recurrent topics in Michael J. Feeley's work include Advanced Data Storage Technologies (25 papers), Parallel Computing and Optimization Techniques (16 papers) and Caching and Content Delivery (12 papers). Michael J. Feeley is often cited by papers focused on Advanced Data Storage Technologies (25 papers), Parallel Computing and Optimization Techniques (16 papers) and Caching and Content Delivery (12 papers). Michael J. Feeley collaborates with scholars based in Canada and United States. Michael J. Feeley's co-authors include Henry M. Levy, Jeffrey S. Chase, Robert J. DeRubeis, Lois A. Gelfand, Anna R. Karlin, Norman C. Hutchinson, David Marwood, Chandramohan A. Thekkath, Alistair Veitch and Edward D. Lazowska and has published in prestigious journals such as Journal of Consulting and Clinical Psychology, Psychology of Addictive Behaviors and ACM Transactions on Computer Systems.

In The Last Decade

Michael J. Feeley

39 papers receiving 1.3k citations

Peers

Michael J. Feeley
Comparison fields: 5 of 58
  • Computer Networks and Communications 1.2k
  • Hardware and Architecture 475
  • Information Systems 391
  • Artificial Intelligence 193
  • Clinical Psychology 181
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Citations per field, relative to Michael J. Feeley
Michael J. Feeley · 1×
Citations per year, relative to Michael J. Feeley
Michael J. Feeley · 1×

Countries citing papers authored by Michael J. Feeley

Since Specialization
Citations

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

Fields of papers citing papers by Michael J. Feeley

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Michael J. Feeley. 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 J. Feeley. The network helps show where Michael J. Feeley may publish in the future.

Co-authorship network of co-authors of Michael J. Feeley

This figure shows the co-authorship network connecting the top 25 collaborators of Michael J. Feeley. A scholar is included among the top collaborators of Michael J. Feeley 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 Michael J. Feeley. Michael J. Feeley 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
# Work Indexed citations
1 12
2 3
3 12
4 3
5 11
6 29
7 6
8 1
9 203
10 22
11 205
12
Cheating the I/O bottleneck: network storage with Trapeze/Myrinet
41
13 62
14 16
15
The Measured Access Characteristics of World-Wide-Web Client Proxy Caches
145
16 1
17
Global memory management for workstation networks
3
18 24
19 24
20 35

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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