Kyle Fox

456 citations
39 papers · 286 · h-index 10

Impact in

Papers in

Kyle Fox

36 papers receiving 284 citations

Peers

Kyle Fox
Comparison fields: 5 of 34
  • Computational Theory and Mathematics 92
  • Computer Graphics and Computer-Aided Design 24
  • Signal Processing 38
  • Computer Networks and Communications 72
  • Industrial and Manufacturing Engineering 31
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Ling Ding United States
Norbert Blüm Germany
Vasilis Samoladas Greece
S. W. Song Brazil
Pasupathi A. Subrahmanyam United States
Patrick K. Nicholson Canada
Shaofeng H.-C. Jiang China
Gerardus Johannes Maria Smit Netherlands
Mengxia Zhu United States
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Countries citing papers authored by Kyle Fox

Since Specialization
Citations

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

Fields of papers citing papers by Kyle Fox

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 39 papers — load more, or switch the sort, to bring in the rest.

#Work
1 201828
2 201121
3 201620
4 201820
5
Energy Efficient Scheduling of Parallelizable Jobs
201319
6 200712
7 201212
8 201312
9 201811
10 201510
11 20119
12 20169
13 20128
14 20138
15 20188
16 20157
17 20187
18 20136
19 20136
20 20136

About Kyle Fox

Kyle Fox is a scholar working on Computational Theory and Mathematics, Computer Graphics and Computer-Aided Design, Computer Networks and Communications, Hardware and Architecture and Signal Processing, having authored 39 papers that have together received 286 indexed citations. Recurring topics across this work include Complexity and Algorithms in Graphs (15 papers), Computational Geometry and Mesh Generation (10 papers), Optimization and Search Problems (10 papers), Advanced Graph Theory Research (4 papers), Robotic Path Planning Algorithms (3 papers), Data Management and Algorithms (3 papers), Real-Time Systems Scheduling (3 papers) and Scheduling and Optimization Algorithms (2 papers). The work is most often cited by research in Computational Theory and Mathematics (92 citations), Computer Graphics and Computer-Aided Design (24 citations), Signal Processing (38 citations), Computer Networks and Communications (72 citations) and Industrial and Manufacturing Engineering (31 citations). Kyle Fox has collaborated with scholars based in United States, Israel and Canada. Frequent co-authors include Benjamin Moseley, Pankaj K. Agarwal, Sungjin Im, Kamesh Munagala, Jeff Erickson, Amir Nayyeri, Madhukar R. Korupolu, Yusu Wang, Anastasios Sidiropoulos and Oren Salzman. Their work appears in journals such as ACM Transactions on Algorithms, Algorithmica, Theoretical Computer Science, Computational Geometry and Discrete & Computational Geometry.

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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