John E. Lavery

766 citations
61 papers · 592 indexed · h-index 16

Impact in

Papers in

    • Advanced Numerical Analysis Techniques 22
    • Computational Fluid Dynamics and Aerodynamics 5
    • Differential Equations and Numerical Methods 6
    • Iterative Methods for Nonlinear Equations 5

John E. Lavery

57 papers receiving 550 citations

Peers

John E. Lavery
Comparison fields: 5 of 84
  • Computational Mechanics 329
  • Numerical Analysis 76
  • Computer Graphics and Computer-Aided Design 22
  • Statistics, Probability and Uncertainty 40
  • Computer Vision and Pattern Recognition 99
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Countries citing papers authored by John E. Lavery

Since Specialization
Citations

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

Fields of papers citing papers by John E. Lavery

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 24 scholars most cited alongside John E. Lavery, 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 E. Lavery Line = papers co-authored together John E. Lavery links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 61 papers — load more, or switch the sort, to bring in the rest.

#Work
1 201557
2 198947
3 200041
4 200128
5 201426
6 201023
7 201922
8 200622
9 200020
10 198920
11 200419
12 198818
13 200817
14 200217
15 201017
16 200315
17 200515
18 200613
19 200213
20 201011

About John E. Lavery

John E. Lavery is a scholar working on Computational Mechanics, Numerical Analysis, Applied Mathematics, Mechanical Engineering and Biomedical Engineering, having authored 61 papers that have together received 592 indexed citations. Recurring topics across this work include Advanced Numerical Analysis Techniques (22 papers), Differential Equations and Boundary Problems (7 papers), Advanced Measurement and Metrology Techniques (7 papers), Differential Equations and Numerical Methods (6 papers), Computational Fluid Dynamics and Aerodynamics (5 papers), Iterative Methods for Nonlinear Equations (5 papers), Advanced machining processes and optimization (4 papers) and Numerical methods in engineering (4 papers). The work is most often cited by research in Computational Mechanics (329 citations), Numerical Analysis (76 citations), Computer Graphics and Computer-Aided Design (22 citations), Statistics, Probability and Uncertainty (40 citations) and Computer Vision and Pattern Recognition (99 citations). John E. Lavery has collaborated with scholars based in United States, China and Taiwan. Frequent co-authors include Shu‐Cherng Fang, R. Balasubramaniam, Erik D. Engeberg, Morteza Vatani, Savaş Dilibal, Jae‐Won Choi, Dimitri Bulatov, James Llinas, David L. Hall and Rakesh Nagi. Their work appears in journals such as Computer Aided Geometric Design, Journal of Mathematical Analysis and Applications, Journal of Computational Physics, Computational Optimization and Applications and SIAM Journal on Numerical Analysis.

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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