Kyle Fox
Impact in
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- Computational Geometry and Mesh Generation
- Signal Processing top 10%
- Data Management and Algorithms
- Time Series Analysis and Forecasting
Papers in
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- Optimization and Search Problems 10
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- Advanced Graph Theory Research 8
- Topological and Geometric Data Analysis 6
- Complexity and Algorithms in Graphs 5
- Co-authors
- Pankaj K. Agarwal (10 shared papers)Sungjin Im (5 shared papers)Benjamin Moseley (6 shared papers)Kamesh Munagala (3 shared papers)Amir Nayyeri (5 shared papers)Madhukar Korupolu (2 shared papers)Rex Ying (2 shared papers)Yusu Wang (2 shared papers)
- Journals
- ACM Transactions on Algorithms (3 papers)Algorithmica (2 papers)Computational Geometry (1 paper)Theoretical Computer Science (1 paper)Lecture notes in computer science (5 papers)
- Partner nations
- United StatesIsraelCanada
In The Last Decade
Kyle Fox
35 papers receiving 231 citations
Peers
Comparison fields: 5 of 54
- Computer Graphics and Computer-Aided Design 31
- Signal Processing 59
- Computational Theory and Mathematics 72
- Computer Networks and Communications 93
- Industrial and Manufacturing Engineering 40
Countries citing papers authored by Kyle Fox
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
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.
All Works
Showing the 20 most-cited of 41 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2018 | 25 | |
| 2 | Energy Efficient Scheduling of Parallelizable Jobs | 2013 | 19 |
| 3 | 2018 | 19 | |
| 4 | 2016 | 18 | |
| 5 | 2007 | 12 | |
| 6 | 2013 | 12 | |
| 7 | 2016 | 10 | |
| 8 | 2012 | 9 | |
| 9 | 2016 | 9 | |
| 10 | 2018 | 8 | |
| 11 | 2015 | 8 | |
| 12 | 2011 | 8 | |
| 13 | 2018 | 7 | |
| 14 | 2012 | 7 | |
| 15 | 2013 | 7 | |
| 16 | 2015 | 6 | |
| 17 | 2013 | 5 | |
| 18 | 2016 | 5 | |
| 19 | 2014 | 5 | |
| 20 | 2013 | 5 |
About Kyle Fox
Kyle Fox is a scholar working on Computer Networks and Communications, Computational Theory and Mathematics, Computer Graphics and Computer-Aided Design, Computer Vision and Pattern Recognition and Signal Processing, having authored 41 papers that have together received 235 indexed citations. Recurring topics across this work include Optimization and Search Problems (10 papers), Computational Geometry and Mesh Generation (10 papers), Advanced Graph Theory Research (8 papers), Data Management and Algorithms (7 papers), Topological and Geometric Data Analysis (6 papers), Complexity and Algorithms in Graphs (5 papers), Algorithms and Data Compression (4 papers) and Scheduling and Optimization Algorithms (4 papers). The work is most often cited by research in Computer Graphics and Computer-Aided Design (31 citations), Signal Processing (59 citations), Computational Theory and Mathematics (72 citations), Computer Networks and Communications (93 citations) and Industrial and Manufacturing Engineering (40 citations). Kyle Fox has collaborated with scholars based in United States, Israel and Canada. Frequent co-authors include Pankaj K. Agarwal, Sungjin Im, Benjamin Moseley, Kamesh Munagala, Amir Nayyeri, Madhukar Korupolu, Rex Ying, Yusu Wang, Anastasios Sidiropoulos and Jeff Erickson. Their work appears in journals such as ACM Transactions on Algorithms, Algorithmica, Computational Geometry, Theoretical Computer Science and Lecture notes in computer science.
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.