Michael J. Johnson

587 citations
41 papers · 405 · h-index 10

Impact in

Papers in

Michael J. Johnson

38 papers receiving 379 citations

Peers

Michael J. Johnson
Comparison fields: 5 of 101
  • Aging 16
  • Computational Mechanics 130
  • Computer Graphics and Computer-Aided Design 21
  • Applied Mathematics 47
  • Numerical Analysis 23
Replace Shintaro Takeuchi with:
Shintaro Takeuchi Japan
Timo Koch Germany
Roy P. Koomullil United States
Heinz Friedrich Germany
Zoltán Cs. Horváth Hungary
Marc Donias France
Bane Sullivan United States
Arthur Finkelstein United Kingdom
Daniel Fritsch United States
Michael J. Johnson relative to Shintaro Takeuchi Japan Shintaro Takeuchi's profile →
Citations per field
00.5×2×4×5.8×
Shintaro Takeuchi · 1×
Citations per year

Countries citing papers authored by Michael J. Johnson

Since Specialization
Citations

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

Fields of papers citing papers by Michael J. Johnson

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Michael J. Johnson. 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 Michael J. Johnson. The network helps show where Michael J. Johnson may publish in the future.

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 41 papers — load more, or switch the sort, to bring in the rest.

#Work
1 200497
2 201266
3 202028
4 199719
5 200917
6 200315
7 200914
8 200014
9 199713
10 200010
11 200110
12 200410
13 199710
14 20097
15 20117
16 20156
17 20016
18 20125
19 20045
20 20005

About Michael J. Johnson

Michael J. Johnson is a scholar working on Computational Mechanics, Applied Mathematics, Numerical Analysis, Computer Graphics and Computer-Aided Design and Global and Planetary Change, having authored 41 papers that have together received 405 indexed citations. Recurring topics across this work include Advanced Numerical Analysis Techniques (19 papers), Advanced Numerical Methods in Computational Mathematics (11 papers), Numerical methods in engineering (5 papers), Mathematical Analysis and Transform Methods (4 papers), Radioactive contamination and transfer (4 papers), Iterative Methods for Nonlinear Equations (3 papers), Groundwater flow and contamination studies (2 papers) and Seismic Imaging and Inversion Techniques (2 papers). The work is most often cited by research in Aging (16 citations), Computational Mechanics (130 citations), Computer Graphics and Computer-Aided Design (21 citations), Applied Mathematics (47 citations) and Numerical Analysis (23 citations). Michael J. Johnson has collaborated with scholars based in Kuwait, United States and Singapore. Frequent co-authors include Ian C. Welsh, Robert Wilbur Burgess, Kevin A. Peterson, Jeffrey J. Roix, Timothy P. O’Brien, Gina Hong, Brian W. Christman, Todd W. Rice, Li Ares Wang and Andrew P. Copland. Their work appears in journals such as Journal of Approximation Theory, Constructive Approximation, Journal of the American Heart Association, Applied Mathematics and Computation and IMA Journal of 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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