Jeffrey Young

415 citations
45 papers · 173 · h-index 9

Impact in

Papers in

Jeffrey Young

36 papers receiving 159 citations

Peers

Jeffrey Young
Comparison fields: 5 of 39
  • Hardware and Architecture 71
  • Computational Mathematics 4
  • Computer Networks and Communications 87
  • Information Systems 36
  • Discrete Mathematics and Combinatorics 5
Replace Christina Giannoula with:
Christina Giannoula Greece
Jose Maria Bermudo Mera Belgium
Keren Zhou United States
Houxiang Ji United States
Hiroki Honda Japan
Srinivas Sridharan United States
Vianney Lapôtre France
Shi Dong United States
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Citations per field
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Citations per year

Countries citing papers authored by Jeffrey Young

Since Specialization
Citations

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

Fields of papers citing papers by Jeffrey Young

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 45 papers — load more, or switch the sort, to bring in the rest.

#Work
1 199122
2 201613
3 202011
4 202211
5 201810
6 19899
7 20169
8 20199
9 20158
10 20198
11 20247
12 20126
13 20165
14 20164
15 20154
16
A Dynamic, Partitioned Global Address Space Model for High Performance Clusters
20083
17 20232
18 20232
19 20192
20 20242

About Jeffrey Young

Jeffrey Young is a scholar working on Computer Networks and Communications, Hardware and Architecture, Information Systems, Computer Vision and Pattern Recognition and Artificial Intelligence, having authored 45 papers that have together received 173 indexed citations. Recurring topics across this work include Parallel Computing and Optimization Techniques (23 papers), Advanced Data Storage Technologies (20 papers), Cloud Computing and Resource Management (12 papers), Distributed and Parallel Computing Systems (9 papers), Embedded Systems Design Techniques (7 papers), Interconnection Networks and Systems (6 papers), Graph Theory and Algorithms (4 papers) and Quantum Computing Algorithms and Architecture (3 papers). The work is most often cited by research in Hardware and Architecture (71 citations), Computational Mathematics (4 citations), Computer Networks and Communications (87 citations), Information Systems (36 citations) and Discrete Mathematics and Combinatorics (5 citations). Jeffrey Young has collaborated with scholars based in United States, Germany and South Korea. Frequent co-authors include Sudhakar Yalamanchili, Pierre Grosdidier, Kenneth R. Muske, Hyesoon Kim, Jason Riedy, Thomas M. Conte, Richard Vuduc, Karsten Schwan, Matthew Wolf and Hanning Chen. Their work appears in journals such as Fertility and Sterility, ACM Transactions on Design Automation of Electronic Systems, Mathematics of Computation, Computers & Chemical Engineering and Concurrency and Computation Practice and Experience.

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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