John Feo

1.4k citations
58 papers · 758 indexed · h-index 15

John Feo

51 papers receiving 699 citations

Peers

John Feo
Comparison fields: 5 of 68
  • Hardware and Architecture 404
  • Computer Networks and Communications 479
  • Computational Mathematics 8
  • Computer Vision and Pattern Recognition 170
  • Statistical and Nonlinear Physics 91
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Citations per year

Countries citing papers authored by John Feo

Since Specialization
Citations

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

Fields of papers citing papers by John Feo

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network

The 25 scholars most cited alongside John Feo, 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 John Feo Line = papers co-authored together John Feo links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown
#Work
1 20167
2 201510
3 20132
4
Proceedings of the 9th conference on Computing Frontiers
20129
5 20112
6
High Performance Descriptive Semantic Analysis of Semantic Graph Databases
20111
7
High performance semantic factoring of giga-scale semantic graph databases.
20108
8 201013
9 201065
10 20072
11 20020
12 20011
13
Performance and Programming Experience on the Tera MTA.
199912
14 19988
15 199822
16
A report on the Sisal language project
19959
17 19951
18
Comparative Study of Parallel Programming Languages: The Salishan Problems
199217
19 19905
20 199016

About John Feo

John Feo is a scholar working on Hardware and Architecture, Computational Mathematics, Computer Networks and Communications, Signal Processing and Computer Vision and Pattern Recognition, having authored 58 papers that have together received 758 indexed citations. Recurring topics across this work include Parallel Computing and Optimization Techniques (23 papers), Graph Theory and Algorithms (17 papers), Distributed and Parallel Computing Systems (15 papers), Advanced Database Systems and Queries (10 papers), Data Management and Algorithms (7 papers), Distributed systems and fault tolerance (6 papers), Cloud Computing and Resource Management (5 papers) and Algorithms and Data Compression (5 papers). The work is most often cited by research in Hardware and Architecture (404 citations), Computer Networks and Communications (479 citations), Computational Mathematics (8 citations), Computer Vision and Pattern Recognition (170 citations) and Statistical and Nonlinear Physics (91 citations). John Feo has collaborated with scholars based in United States, United Kingdom and Puerto Rico. Frequent co-authors include D.C. Cann, R. R. Oldehoeft, Daniel Chavarría-Miranda, Guojing Cong, David A. Bader, Shuangshuang Jin, Zhenyu Huang, Yousu Chen, Antonino Tumeo and Mahantesh Halappanavar. Their work appears in journals such as Journal of Parallel and Distributed Computing, Parallel Computing, Computer, The International Journal of High Performance Computing Applications and IEEE Micro.

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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