Chris Phillips

39 papers receiving 434 citations

Peers

Chris Phillips
Comparison fields: 5 of 97
  • Computational Theory and Mathematics 88
  • Computational Mechanics 74
  • Numerical Analysis 72
  • Artificial Intelligence 55
  • Control and Systems Engineering 53
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Chris Phillips relative to Leonid G. Khachiyan United States Leonid G. Khachiyan's profile →
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Countries citing papers authored by Chris Phillips

Since Specialization
Citations

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

Fields of papers citing papers by Chris Phillips

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Chris Phillips

This figure shows the co-authorship network connecting the top 25 collaborators of Chris Phillips. A scholar is included among the top collaborators of Chris Phillips 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 Chris Phillips. Chris Phillips 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
#WorkIndexed citations
1 2
2 1
3 4
4 1
5 1
6 34
7 28
8
Improving Assessment in Software Engineering Student Team Projects
5
9
Active Learning in Computing: Engaging Learners in a Cross-Site Team Project
2
10 1
11 4
12 10
13
Two Optimal Parallel Algorithms for Generating P-sequences
6
14
Parallel Numerical Algorithms.
65
15 2
16
Numerical methods in practice : using the NAG Library
20
17
Computational numerical methods
7
18
GEM2 - a program package for elliptic partial differential equations
0
19
The Numerical solution of nonlinear problems
23
20
An Improved Algorithm for Discrete Chebyshev Linear Approximation
22

About Chris Phillips

Chris Phillips is a scholar working on Numerical Analysis, Computational Theory and Mathematics and Computer Science Applications, having authored 41 papers that have together received 495 indexed citations. Recurring topics across this work include Climate variability and models (4 papers), Numerical methods for differential equations (4 papers) and Foreign Language Teaching Methods (3 papers). The work is most often cited by research in Numerical Analysis (72 citations), Computational Theory and Mathematics (88 citations) and Hardware and Architecture (29 citations). Chris Phillips has collaborated with scholars based in United Kingdom, United States and Ukraine. Frequent co-authors include I. Barrodale, L. M. Delves, Christopher Baker, Vladimir Sklyar, Vyacheslav Kharchenko, Tim Hopkins, Anatoliy Gorbenko, Peter Mitchell, John C. Johnson and Marie Devlin. Their work appears in journals such as IEEE Transactions on Automatic Control, Journal of Computational Physics and Geophysical Research Letters.

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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